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Review

Frontiers in Nanotechnology ·

Volume 8 - 2026 | https://doi.org/10.3389/fnano.2026.1833993

Quantum dots for biomedical innovation: overview, applications, and biosafety

  • JuCai Wang1*corresponding author
  • YueHeng Qi1
  • MeiQiu Xu1
  1. College of Food and Drug, Luoyang Normal University, Luoyang, China
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Abstract

Quantum dots (QDs), a class of versatile semiconductor nanomaterials, have emerged as revolutionary tools in biomedical research due to their unique optical properties, tunable surface chemistry, and biocompatibility. This review provides a systematic overview of the fundamental characteristics of QDs, encompassing their diverse types, quantum confinement effects, photostability, synthesis strategies, and advanced characterization techniques. We discuss the cytotoxicity mechanisms of QDs and highlight surface functionalization strategies for enhancing the biocompatibility and targeting efficiency. Through precise functionalization and surface engineering, QDs have successfully been tailored for a wide array of biomedical applications, including cellular imaging, drug delivery, and single-virus tracking. However, their potential biosafety remains a paramount concern, as toxicity profiles are highly dependent on the chemical composition, particle size, and surface modifications. A key focus of this review is on recent breakthroughs in QDs-based single-virus tracking, which provides a robust framework for optimizing QDs platforms in virology research and therapeutic development. We also address the major challenges in clinical translation, such as insufficient targeting accuracy, protein corona formation, immune recognition, and scalable manufacturing. Finally, we discuss the biosafety considerations and future perspectives for the clinical translation of QDs technologies, addressing key challenges including long-term fate, regulatory hurdles, and the development of heavy-metal-free alternatives.

Keywords

1 Introduction

Quantum dots (QDs) are semiconductor-based nanocrystals that are typically composed of group II–VI elements (e.g., CdTe, CdSe, CdS, ZnS, ZnSe, or ZnTe), group III–V elements (e.g., InP or InAs), group I–III–VI elements (e.g., CuInS2 or AgInS2), group IV–VI elements (e.g., PbSe, PbS, or PbTe), and group IV elements (e.g., Si, C, or Ge) (Sobhanan et al., 2023). Since their discovery in the 1980s, QDs have garnered significant attention due to their exceptional physical and optical properties (Ekimov et al., 1993). A hallmark feature of QDs is their size-tunable fluorescence: the emission wavelength increases as the particle diameter increases (Figure 1a). This phenomenon, known as the quantum confinement effect, arises from the discrete electronic energy levels in these nanoscale structures. Compared to traditional organic fluorophores, QDs exhibit broad excitation spectra, narrow and symmetric emission bands, remarkable photostability, and high fluorescence brightness (Manikandan et al., 2019; Abdellatif et al., 2022; Panja and Patra, 2023; Zhang J. et al., 2023). The size-tunable emission spectra of CdSe/ZnS QDs are shown in Figure 1b, and a schematic representation of a typical QD probe is provided in Figure 1c. Moreover, their surfaces can be readily modified with hydrophilic ligands, polymers, or biological molecules (e.g., antibodies and peptides), enabling solubility in aqueous buffers and conjugation with targeting moieties for specific biomedical applications (Pham et al., 2021; Han et al., 2020).

Photophysical properties of the commercially available QDs. **(a)** Commercially available QDs composed of different elements with the emission range from the visible to near-infrared regions. **(b)** Size-tunable emission spectra of CdSe/ZnS QDs. **(c)** Schematic representation of a QD probe. Reproduced with permission from Wang et al. (2021).
Figure 1. Photophysical properties of the commercially available QDs. (a) Commercially available QDs composed of different elements with the emission range from the visible to near-infrared regions. (b) Size-tunable emission spectra of CdSe/ZnS QDs. (c) Schematic representation of a QD probe. Reproduced with permission from Wang et al. (2021).

Despite these appealing optical and surface properties, the potential toxicity of QDs, particularly those containing heavy metals such as cadmium, remains a subject of intense analysis. QDs’ toxicity is influenced by a multitude of factors, including their intrinsic composition, size, dose, exposure route, and the nature of the surface capping materials (Wang and Tang, 2018). For example, cadmium-based QDs can release toxic Cd2+ ions, which cause liver damage primarily by binding to sulfhydryl groups in mitochondrial proteins. This interaction leads to oxidative stress and functional impairment (Zhang Y. et al., 2023; Đukić-Ćosić et al., 2020). Similarly, oxidative stress has also been identified as a key mechanism for Si/SiO2 QDs. Specifically, Stan et al. (2014) reported that Si/SiO2 QDs increased ROS generation by 5.5 times (at 200 μg/mL, 48 h) and 7.0 times (at 200 μg/mL, 72 h), respectively, compared with the controls. Furthermore, smaller QDs typically exhibit higher cellular uptake and toxicity than their larger counterparts, with clear dose–effect relationships observed both in vivo and in vitro (Georgeous et al., 2024; Li and Huang, 2018). Surface charge also influences toxicity, as positively charged QDs tend to be more toxic than neutral or negatively charged ones (Chen et al., 2024).

Several mitigation strategies have been developed to address these toxicity concerns. These include coating QDs with protective shells (e.g., ZnS and SiO2) (Knežević et al., 2013); designing heavy-metal-free alternatives such as cadmium-free QDs (Bechu et al., 2021), metal-doped carbon dots (CDs) (Qi et al., 2024), or carbon quantum dots (CQDs) (Saikia et al., 2023); and applying advanced surface functionalization techniques. Among these, carbon-based QDs have emerged as a “greener” alternative because they contain no heavy metals and are often reported to exhibit minimal or no toxicity in biological systems. For instance, Dhandapani et al. (2022) developed a simple, additive-free, and environmentally friendly method to synthesize high-quality green fluorescent CQDs using fried food waste as a carbon source and deionized water as the solvent. In a separate 2023 study, three types of CQDs derived from biomass waste, such as palm shells, oyster shells, and citric acid, were evaluated across multiple biological models, including HeLa cells, cardiomyocytes, induced pluripotent stem cells, and medaka fish embryos and larvae.

The in vitro assessments revealed no cytotoxicity up to 24 h of incubation (Abu et al., 2023). Further in vivo tests on Japanese medaka fish confirmed the biocompatibility of these CQDs even after 17 days of exposure (Abu et al., 2023). In a similar approach, Saikia et al. (2023) reported the fabrication of biocompatible “green nanoparticles” from waste disposal. Figure 2 illustrates the biocompatible CQDs from petroleum coke and kitchen tea residue via an ultrasonic-assisted oxidation process. These CQDs demonstrated high water solubility, biocompatibility, non-genotoxic behavior, and, in the case of kitchen tea residue-derived CQDs, notable antibacterial activity against various bacterial strains. Collectively, these studies highlight the feasibility of converting biowaste into value-added nanomaterials and underscore the potential of CQDs as promising candidates for biomedical applications, photocatalysis, environmental monitoring, and food industry applications.

Graphical abstract of waste-derived high-yield biocompatible fluorescent carbon quantum dots. Reproduced with permission from Saikia et al. (2023).
Figure 2. Graphical abstract of waste-derived high-yield biocompatible fluorescent carbon quantum dots. Reproduced with permission from Saikia et al. (2023).

This review provided a comprehensive and up-to-date overview of the structure, type, synthesis, property, biomedical application, and biosafety of QDs. Particular focus is placed on the application of QD-based single-virus tracking (QSVT) in studying viral pathogens such as influenza A virus (IAV), Japanese encephalitis virus (JEV), and pseudorabies virus (PRV). By synthesizing the recent advances in the literature, this review aims to clarify the functional roles of QDs, identify current research gaps, and discuss potential strategies for designing safer QDs for use in biomedical contexts.

2 Semiconductor quantum dots

Semiconductor QDs represent a unique class of zero-dimensional nanomaterials that exhibit quantum confinement effects due to their nanoscale dimensions, which are smaller than the exciton Bohr radius (Islam et al., 2025). This quantum confinement leads to discrete electronic energy states, enabling precise tuning of their optical and electronic properties by varying their size and composition. Such characteristics have positioned QDs as revolutionary materials in optoelectronics and biomedical applications. To comprehensively understand QDs, this section systematically explores four critical aspects.

2.1 Types of quantum dots

Quantum dots are typically composed of elements from groups II–VI or III–V of the periodic table. Their emission wavelength is directly proportional to the particle diameter, and both the size and optical properties can be finely controlled through adjustments in the core composition. Based on the elemental constituents, QDs can be categorized into 12 types according to the periodic groups of their constituent elements (Table 1). For example, group I B–VI A QDs such as nitrogen-embedded copper sulfide (Cu2S) have demonstrated robust anticancer activity and high biocompatibility in breast cancer therapy (Islam et al., 2025). Group II B–VI A QDs, including ZnSe, ZnS, ZnO, CdS, CdSe, CdTe, and HgS, are widely utilized in biomedicine and optoelectronics. An illustrative application is the development of a CdSe/CdS/ZnS-based fluorescence resonance energy transfer (FRET) aptasensor for monitoring Alzheimer’s-related amyloid-β oligomers and tau protein. In this system, dual-color QDs serve as energy donors and Au NRs@PDA serve as acceptors, enabling sensitive detection under single-wavelength excitation (Lu et al., 2022). Group III A–V A QDs such as AlSb, AlAs, AlP, GaSb, GaAs, InAs, InP, and InN have gained attention as promising heavy-metal-free alternatives due to their favorable optical properties and reduced toxicity (Zhang et al., 2017; Zhao et al., 2025). For example, Zhao et al. (2025) developed a dual-modal imaging probe using radioisotope-chelated InP/ZnSe/ZnS QDs combined with copper-64, enabling successful positron emission tomography and fluorescence imaging in tumor-bearing mice. Carbon-based QDs, including graphene quantum dots (GQDs) and CQDs, belong to group IV A and are recognized for their ultra-small size, low toxicity, and excellent biocompatibility. These attributes have spurred considerable interest in biomedical applications (Younis et al., 2020; Peng et al., 2017). Peng et al. (2017) synthesized bone-targeting CQDs with high affinity and specificity for calcified tissues in vivo. Similarly, semiconducting polymer dots (P dots) have emerged as novel near-infrared fluorescent probes. Emitting at approximately 800 nm, P dots exhibit ultrahigh brightness, excellent photostability, and minimal cytotoxicity, making them ideal for deep-tissue bioimaging (Verma et al., 2020; Yuan et al., 2020). Yuan et al. (2020) developed P dots for tracking stem cells and cancer cells in vivo, achieving a labeling intensity that was approximately 10,000 times higher than that of unlabeled controls. Looking forward, next-generation smart biomaterials such as 0D titanium carbide (Ti3C2) and Nb2C MXene QDs have shown intrinsic immunomodulatory properties, including the selective suppression of human lymphocyte activation, thereby supporting material-assisted post-injury tissue regeneration (Rafieerad et al., 2019).

TABLE 1. Classification of QDs according to their chemical composition.

TypeExamplesFeaturesReferences
I B–VI ACu2SFluorescence-based sensors in imaging and chemodynamic therapy of tumor cellsIslam et al. (2025)
I B–VII AAgBrHigh photosensitivity and commonly used in photocatalysis, photodetectors, and imagingJohansson et al. (1993)
II B–VI AZnSe, ZnS, ZnO, CdS, CdSe, CdTe, and HgSHigh quality and widely used in biomedicine and optoelectronicsLu et al. (2022) and Feng et al. (2024)
III A–V AAlSb, AlAs, AlP, GaSb, GaAs, InAs, InP, and InNLow toxicity and used as probe to diagnose tumorZhang et al. (2017) and Zhao et al. (2025)
IV A–VI APbS, PbSe, and PbTeTypically used in the solar cellsBirdoğan and Karabulut (2021)
IV AC, Si, and grapheneGood biocompatibility, low toxicity, and is used in imaging and drug deliveryYounis et al. (2020) and Peng et al. (2017)
V ABlack phosphorusSuitable for bioimaging, fluorescence sensing, and intelligent electronicsGui et al. (2018)
I B–III A–VI ACuInS2, CuInSe2, and AgInSSuitable for white light-emitting diodes and tunable fluorescent bio-probesChen Y. et al. (2023) and Cichy et al. (2016)
P dotsNIR800Suitable for deep-tissue bioimagingVerma et al. (2020) and Yuan et al. (2020)
TMDCsTiSe2, TaS2, MoSe2, WS2, WSe2, and ReS2Suitable for light-emitting devices and supercapacitorsYin et al. (2020)
MXeneNb2C and Ti3C2Suitable for immunomodulation and 3D tissue engineeringRafieerad et al. (2019)
PerovskiteCsPbI3Commonly used in solar cells and optoelectronic devicesBai et al. (2022)

2.2 General properties of quantum dots

QDs exhibit a suite of exceptional photophysical properties that make them highly appealing for a wide range of applications. These include high brightness, remarkable photostability, broad excitation spectrum, size-tunable emission, and large significant Stokes shift. These optical characteristics stem from the fundamental physical properties of QDs, particularly their nanoscale dimensions, which lead to a markedly increased surface-to-volume ratio and a significant proportion of surface atoms relative to the bulk material. This high surface-to-volume ratio profoundly influences the dynamics of photo-generated charge carriers, often enhancing or reducing their transfer rates due to the high density of surface states.

The optical properties of QDs, such as optical absorption (measured via photoluminescence excitation, PLE), quantum yield, luminescence intensity, spectral profile, and aging behavior, are intimately tied to their surface states, which are, in turn, determined by their size, shape, and surface structure (Weiss, 2013). A key manifestation of this structure–property relationship is the quantum confinement effect, which becomes significant when the QD diameter is comparable to the de Broglie wavelength of the charge carriers. This effect is primarily responsible for the size-dependent tuning of the absorption and emission spectra.

Quantitatively, the emission wavelength of QDs is directly determined by their bandgap energy (E *g*), which is strongly dependent on the particle size due to quantum confinement (Oglah et al., 2025). When the QD radius (R) is smaller than the exciton Bohr radius, electrons and holes are physically confined, leading to an increase in their kinetic energy and, thus, a broadening of the effective bandgap. Brus (Chukwuocha et al., 2012) presented the first theoretical calculation for semiconductor nanoparticles (NPs) (using CdS and CdSe as examples) based on “effective mass approximation” (EMA). In this approximation, as shown in Equation 1, an exciton is considered to be confined to a spherical volume of the crystallite, and the mass of the electron and hole is replaced with effective masses (me and mh) to define the wave function (Brus, 1984).where

E g q d = E b u l k + h 2 8 R 2 1 m e * + 1 m h * ‐ 1.786 e 2 4 π ε 0 ε r R 2 , (1)

E g(qd) = band gap energy of quantum dot;

Ebulk = band gap energy of the bulk semiconductor;

R = radius of quantum dot;

m e * = effective mass of excited electron;

m h * = effective mass of excited hole;

h = Planck’s constant.

Kayanuma (1988) accounted for the electron–hole spatial correlation effect and modified the Brus equation. Based on the modified equation, as shown in Equation 2, the size-dependence on the band gap energy of quantum dots can be quantified as follows:where

E g q d = E b u l k + h 2 8 R 2 1 m e * + 1 m e * ‐ 1.786 e 2 4 π ε 0 ε r R 2 ‐ 0.248 E * Ry , (2)

h = Planck’s constant

m e * = effective mass of excited electron;

m h * = effective mass of excited hole;

R = radius of quantum dot;

e = electronic charge

In summary, in QDs, excitons are under a three-dimensional confinement that leads to the quantization of the electron and hole energy levels. Semiconductor materials sized less than double the bulk exciton Bohr radius undergo quantum confinement. The quantum confinement effect will be observed in CdS, CdSe, and CdTe NMs when their particle diameters are less than ∼5.8 nm, 11.2 nm, and 20.0 nm, respectively. Thus, the bulk exciton Bohr radius and, by extension, the composition determine the size from which a material exhibits quantum confinement effects and, consequently, the unique optical and electronic properties of QDs. Since electrons within QDs are confined to discrete energy levels, the wavelengths associated with the formation and recombination of excitons (i.e., the UV–Vis absorption and fluorescence emission maximum wavelengths of QDs, respectively) are tunable by changing the particle’s size. With decreasing size, the wavelengths of fluorescence and absorption decrease. For example, CdSe QDs exhibit emission wavelengths ranging from ∼500 nm (green) to ∼650 nm (red) as their diameter increases from 2 nm to 6 nm.

The correlation between the QD size and their electronic structure is well-illustrated by GQDs. Peng et al. (2012) discovered that the band gap of GQDs and, consequently, their photoluminescence (PL) emission can be systematically varied by controlling their size. In their study, GQDs synthesized at different temperatures (80 °C, 100 °C, and 120 °C) exhibited a distinct blue shift in absorption from 330 to 270 nm as the synthesis temperature increased (Figures 3a,b). Furthermore, the optical band gap decreased from 3.90 to 2.89 eV with increasing GQD size (Figures 3c,d), confirming that the energy gap can be precisely engineered through dimensional control.

Optical properties of the GQDs. **(a)** UV−Vis spectra of GQDs A, B, and C, which correspond to the synthesized reaction temperature at 120, 100, and 80 °C, respectively. Inset of **(a)** is a photograph of the corresponding GQDs under UV light with 365-nm excitation. **(b)** PL spectra of GQDs with different emission colors excited at 318, 331, and 429 nm, respectively. **(c)** Relationship between the energy gap and the size of GQDs. **(d)** TRPL decay profile of blue GQDs recorded at room temperature. Reproduced with permission from Peng et al. (2012).
Figure 3. Optical properties of the GQDs. (a) UV−Vis spectra of GQDs A, B, and C, which correspond to the synthesized reaction temperature at 120, 100, and 80 °C, respectively. Inset of (a) is a photograph of the corresponding GQDs under UV light with 365-nm excitation. (b) PL spectra of GQDs with different emission colors excited at 318, 331, and 429 nm, respectively. (c) Relationship between the energy gap and the size of GQDs. (d) TRPL decay profile of blue GQDs recorded at room temperature. Reproduced with permission from Peng et al. (2012).

Beyond size control, the architectural design of QDs, specifically the formation of a core/shell structure, profoundly influences their electronic structure and optical performance. Due to their high surface-to-volume ratio, QDs possess a high density of surface defects/traps, which severely reduce the photoluminescence quantum yield (QY) and promote blinking. An effective strategy to mitigate these issues is surface passivation through the growth of an outer shell of a different material or composition, leading to so-called core/shell QDs. Such a shell reduces the surface defects and modifies the confinement potential, thereby broadening the absorption spectrum, accelerating charge carrier transfer, and suppressing exciton-recombination losses. Consequently, core/shell QDs exhibit markedly improved QY and reduced blinking. For instance, Kim et al. (2022) recently reported alloy-typed CdSeZnS/ZnS core/shell QDs with an initial QY as high as 98.0%, which remained at 84.7% even after hydrophilic surface modification—a decrease of only ∼13.6%. In contrast, conventional multilayer QDs lost more than 50% of their QY under the same treatment. The superior performance of core/shell QDs underscores the critical role of shell engineering in minimizing surface defects, enhancing photostability, and maintaining high QY for demanding bioimaging applications. Therefore, achieving precise control during synthesis is paramount, as the intrinsic properties of QDs are governed by multiple factors, including the size, shape, defect density, impurities, and crystallinity. The quantum confinement effect is a dominant factor for the monotonic shift in absorption with changes in size. However, non-monotonic behaviors in the photoluminescence spectra have also been observed, such as when QDs’ size increases to approximately 17 nm. Such complex spectral patterns can often be attributed to concomitant changes in the QDs’ shape and edge structure, which occur during growth, highlighting that size is not the sole determinant of their optical behavior.

In core-only QDs, the large surface-to-volume ratio leads to abundant dangling bonds and lattice defects, which act as trap states for charge carriers, thus severely reducing the photoluminescence quantum yield and promoting blinking. The growth of a wider-bandgap semiconductor shell (e.g., ZnS on CdSe) passivates these surface defects, eliminates dangling bonds, and spatially confines excitons away from the surface, thereby reducing non-radiative recombination. As a result, the core/shell QDs exhibit markedly improved QY and suppressed blinking. For instance, Kim et al. recently reported alloy-typed CdSeZnS/ZnS core/shell QDs with an initial QY as high as 98.0%, which remained at 84.7% even after hydrophilic surface modification—a decrease of only ∼13.6%, whereas conventional multilayer QDs lost more than 50% of their QY under the same treatment. The superior performance of core/shell QDs underscores the critical role of shell engineering in minimizing the surface defects, enhancing photostability, and maintaining high QY for demanding bioimaging applications. Therefore, understanding the electronic structural differences between core-only and core/shell QDs is essential for designing high-performance quantum dots for optical and biomedical applications.

2.3 Challenge of quantum dots synthesis

An array of physical, chemical, and biological methods have been developed to synthesize different QDs, and the methods are mainly divided into two important methodologies, namely, the top-down or bottom-up approaches (Chan et al., 2002). Top-down methods involve the fragmentation of larger precursor materials into nanoscale QDs using techniques such as molecular beam epitaxy, ion implantation, and electron-beam lithography (Mattoussi et al., 2012). In contrast, bottom-up approaches rely on the self-assembly of smaller molecular precursors into larger QD structures. Given that the optical properties that are most relevant to bioimaging are predominantly exhibited by colloidal QDs that are typically synthesized via bottom-up routes, this section will focus exclusively on these methods, including colloidal synthesis, non-injection synthesis, electrochemical synthesis, bio-template mediated synthesis, and biogenic synthesis (Figure 4).

A scheme of some commonly-used methods for the preparation of QDs. **(a)** Colloidal synthesis; **(b)** non-injection organometallic synthesis; **(c)** bio-template mediated synthesis; **(d)** electrochemical synthesis; **(e)** biogenic synthesis. Reproduced with permission from Abdellatif et al. (2022).
Figure 4. A scheme of some commonly-used methods for the preparation of QDs. (a) Colloidal synthesis; (b) non-injection organometallic synthesis; (c) bio-template mediated synthesis; (d) electrochemical synthesis; (e) biogenic synthesis. Reproduced with permission from Abdellatif et al. (2022).

2.3.1 Colloidal synthesis: precision at the laboratory scale

Colloidal synthesis, called organometallic synthesis, produces QDs from metal-organic or inorganic substances and disperses them in solvents (Pu et al., 2018). In this process, semiconductor precursors are rapidly injected into a hot solvent containing coordinating ligands, leading to a burst of nucleation followed by controlled growth (Figure 4a). The classic synthesis of high-quality CdSe QDs using Cd(CH3)2 and elemental Se established a model system (Murray et al., 1993). However, the toxicity and instability of such precursors prompted the development of greener alternatives. Peng and Peng (2001) successfully replaced Cd(CH3)2 with the safer CdO, while subsequent innovations introduced less hazardous solvents such as octadecene (Yu and Peng, 2002) and paraffin liquid (Deng et al., 2005), demonstrating that high optical quality could be maintained through precise optimization of the reaction parameters (e.g., injection speed and temperature). Despite its unparalleled ability to produce monodisperse and high-quality QDs, the hot-injection method faces challenges in scalability and reproducibility for core/shell structures, which limits its practicality for large-scale biomedical applications.

2.3.2 Non-injection synthesis: scalable and greener synthetic routes

Non-injection organometallic synthesis was developed to address the scalability limitations of hot-injection methods (Figure 4b). This one-pot approach involves heating all the reagents together, enabling the large-scale production of QDs. For instance, Park et al. (2013) synthesized Gram quantities of zinc blende CdSe QDs using various Cd–fatty acid salts, such as Cd-myristate (C14), Cd-palmitate (C16), and Cd-stearate (C18). Further advancing this route, Zhang et al. (2012) developed an air-stable and scalable method for producing high-quality core/shell QDs. Ding et al. (2017) pushed the boundaries [Cd(CH3COO)2·2H2O, Na2S·9H2O, oleic acid, and oleylamine] further by establishing a low-temperature, ambient-air synthetic route for doped CdS QDs with tunable emissions, demonstrating their direct application in high-color-rendering-index white LEDs. This progression highlights a clear trend toward more industrially viable and environmentally benign synthesis.

2.3.3 Electrochemical and bio-template synthesis

Electrochemical synthesis represents a green alternative that eliminates the need for external chemical reducing agents (Figure 4c). This method allows for precise control over the generation of reactive species, leading to reproducible and clean QD synthesis. Ribeiro et al. (2013) and Freitas et al. (2017) utilized this approach to synthesize various CdX (X = Te, Se, or S) QDs in aqueous solutions. Valappil et al. (2017) extended its utility by electrochemically converting bulk WS2 directly into luminescent QDs at room temperature. The prepared WS2 QDs had an average diameter of 3 ± 1 nm, showed a higher photoluminescence (PL) quantum efficiency (5%), and exhibited an excitation wavelength-dependent photoluminescence. This electrochemical transformation was expected to have a greater impact on the design and development of nanostructures derived from 2D materials.

Bio-template-mediated synthesis is a technique that uses biological molecules (e.g., proteins, DNA, viral particles, and bacteria) as templates to guide the formation of QDs (Figure 4d). Biological components are utilized in this process to improve the stability and biocompatibility of quantum dots while also improving their performance. Nithyaja et al. (2012) showed the choice of two biological templates (DNA and BSA) that significantly influence the final optical properties of the CdS nanoparticles. Ai et al. (2024), Ai et al. (2022) demonstrated the assembly of PbS QDs on proteinaceous templates, enhancing their mechanical and photoluminescent properties. The prepared QDs demonstrated improved modulus and hardness, superior hydrophilic reinforcement, and excellent PL properties. Similarly, DNA-templated CdS nanoparticles exhibited low cytotoxicity and potential as biocompatible probes for imaging and therapy (Reena et al., 2024). In this method, uniform voids in porous materials serve as hosts, and the DNA template was used as smart glue for assembling in nanoscale. The prepared CdS nanoparticles exhibited visible fluorescence and low cytotoxicity in HeLa cells. This biomimetic approach offers exquisite control over the size, morphology, and optical properties of the produced QDs.

2.3.4 Biogenic synthesis: nature-inspired biocompatibility

Biogenic synthesis is a novel biotechnology-based approach that utilizes living organisms (bacteria, fungi, and plants) or their components to produce QDs (Figure 4e). This eco-friendly approach often yields QDs with superior biocompatibility. Mi et al. (2011) utilized engineered Escherichia coli that expressed a specific CdS-binding peptide to synthesize CdS QDs. The QDs, which were subsequently isolated through cell lysis and purification, demonstrated high biocompatibility, making them promising probes for bio-labeling and imaging applications. Further demonstrating the versatility of biogenic synthesis, Borovaya et al. (2015) utilized the fungus Pleurotus ostreatus as a platform to for the eco-friendly production of CdS QDs. By incubating P. ostreatus mycelium with inorganic cadmium sulfate and sodium sulfide, CdS QDs sized 4 nm–5 nm were synthesized. In a complementary approach, Raja and Sundaramurthy (2021) utilized betel leaves (Piper betle) in a hydrothermal process to synthesize fluorescence CQDs, which served as a selective sensor for Fe3+ (detection range: 50 nM–150 nM) in the presence of competing metal ions. While this field is still developing, it holds significant potential for generating QDs with minimal environmental impact and native biological recognition capabilities.

2.4 Surface functionalization of quantum dots

Although QDs demonstrated impressive performance, various application scenarios—particularly in biomedicine—impose more specific requirements on their properties. Consequently, it is essential to make targeted adjustments and modifications to the chemical structure of QDs to meet these specific application needs. The synthetic modification of QDs primarily focuses on surface functionalization and element doping. In the context of surface functionalization, three key parameters must be considered, namely, surface functional groups, surface charge, and ligand exchange dynamics. Optimization of these parameters can effectively improve their dispersibility and stability in different solvents and modulate their biological interactions. This section provides a systematic discussion of these three parameters and their roles in tailoring the performance of QDs for biomedical applications.

2.4.1 Surface functional groups

Surface functional groups directly determine the physicochemical interaction of QDs with their surrounding environment. Common functional groups, including carboxyl (-COOH), amine (-NH2), thiol (-SH), and hydroxyl (-OH) groups, along with organic ligands such as oleylamine (OAm) and oleic acid (OA), are introduced via ligand exchange or coating strategies. In biological environments, surface modifications can mitigate protein corona formation and modulate cellular uptake issues, thereby improving the biocompatibility and targeting efficiency of QDs. Li L. et al. (2020) prepared three kinds of InP/ZnS QDs with -COOH, -NH2, and -OH surface groups and compared the biodistribution in vivo. The results demonstrated rapid uptake in the liver and spleen without significant aggregation, indicating that the surface chemistry influences organ distribution while maintaining colloidal stability. Dumbgen et al. (2023) synthesized OAm- and chloride ligands-stabilized InP QDs though amine–halide co-passivation with diethylamino phosphine, allowing subsequent exchange with carboxylates or thiolates to tailor the surface chemistry. This approach enables precise control over surface functionality, which is essential for optimizing the performance of QD in biological media. Beyond passivation, surface functionalization also provides anchoring sites for secondary coatings and targeting ligands. For instance, a ZnS shell not only passivates surface defects and enhances the photoluminescence quantum yield but also increases water solubility and offers abundant sites for further functionalization, making such core/shell QDs suitable for bioimaging and cancer therapy. In a representative study, PEG and folate molecules were successfully conjugated to CdTe@SiO2 particles through the amino groups in the water phase (Lu et al., 2014). The prepared folate–PEG-functionalized QDs exhibited improved hydrophilicity and reduced toxicity, holding promise for tumor imaging in the near future. Expanding on this strategy, Zhao et al. (2025) developed a novel PET/fluorescence imaging probe based on InP/ZnSe/ZnS QDs, wherein the ZnS QDs were functionalized with polyethylene glycol terminated with either a methoxy group or a DOTA chelator group. The dual-modal probe enabled multi-scale imaging from the whole body to the subcellular levels, contributing to more precise tumor diagnosis. Therefore, rational design of surface functionalization strategies is essential for developing QD-based nanoplatforms with predictable and desirable biological interactions.

2.4.2 Surface charge

Surface charge plays a more dominant role than protein corona formation in determining the cytotoxicity, cellular uptake, and biodistribution of QDs (Barbalinardo et al., 2025; Fröhlich, 2012). Positively charged QDs generally exhibit enhanced efficacy in imaging, gene transfer, and drug delivery; however, they are also associated with higher cytotoxicity and hemolytic activity. In a systematic study, Liu et al. (2015) compared three commercially available QDs with different surface coatings to assess the influence of the surface charge on cellular uptake, cytotoxicity, and in vivo biodistribution. Charged QDs (both positive and negative) entered cancer cells and macrophages more efficiently than neutral QDs, with negatively charged QDs showing the highest internalization. Notably, positively charged QDs—but not negatively charged ones—exhibited severe cytotoxicity, which was attributed to the disruption of cell membrane integrity and induction of reactive oxygen species production. Negatively charged QDs generally show reduced non-specific uptake and better biocompatibility, although extreme negative charge can induce protein denaturation and complement activation (Barbalinardo et al., 2025). Similarly, Zhang et al. (2025) prepared a series of drug-loaded liposomes with different surface charges and found that negatively charged liposomes exhibited better mucus penetration and good biocompatibility (low cytotoxicity, better blood compatibility, and mild tissue inflammation), but with poor cellular uptake by immune cells. These findings indicate that liposomes with a negative charge (−1 to −3 mV) may serve as promising inhaled drug carriers that balance the efficacy and biocompatibility. Furthermore, surface charge modulates the composition of the protein corona, which, in turn, influences QD uptake and macrophage viability. Liu Y.-Y. et al. (2025) analyzed the effects of surface charge on the uptake, intracellular distribution, and exocytosis of CdSe/ZnS QDs in Raw264.7 macrophages. Expanding on this, Arezki et al. (2022) performed the first quantitative proteomic analysis of the protein corona formed on CDs with different surface charges. CDs with high ζ-potential (>+30 mV) and charge density (>2 μmol mg−1) showed the highest internalized value, which was strongly correlated with a corona enriched in vitronectin, fibulin, fetuin, adiponectin, and alpha-glycoprotein. Collectively, these findings underscore that the surface charge is a critical determinant of the biological interactions of QDs, directly influencing protein corona composition, cellular uptake pathways, toxicity profiles, and in vivo fate.

2.4.3 Ligand exchange dynamics

Ligand exchange dynamics, also referred to as cap exchange, occur during the substitution of native hydrophobic ligands with hydrophilic ones via a mass-action-driven process (Nabil and Megahed, 2024). In this process, the original hydrophobic ligands are displaced by water-soluble bifunctional molecules, wherein one functional group anchors to the QD surface (e.g., thiols binding to the ZnS shell), while the other group—typically -OH, -COOH, or -NH2—imparts hydrophilicity and provides a reactive handle for subsequent conjugation with biomolecules such as antibodies, proteins, or drugs. This bifunctional design markedly improves the aqueous dispersibility, colloidal stability, and biocompatibility, as evidenced by functionalized silicon carbide nanostructures that maintain structural integrity in physiological environments. For instance, Saad et al. (2026) systematically evaluated silicone quantum dots functionalized with -COOH and -OH groups and demonstrated that dual-surface carboxylation serves as an optimal strategy for designing high-performance, reversible, and targeted silicon-based drug delivery systems. Notably, dual functionalization with -COOH significantly enhanced the adsorption of the anticancer drug thioguanine, achieving the highest binding energy (−2.04 eV) and the shortest interaction distance (2.54 Å). More importantly, the ligand exchange dynamics directly govern the biological identity of QDs: rapid or incomplete ligand exchange can lead to the loss of surface coating, exposure of hydrophobic cores, and uncontrolled protein corona formation, thereby altering the cellular uptake pathways and triggering non-specific immune recognition. Therefore, characterizing and controlling ligand exchange kinetics is essential for the rational design of QDs with predictable nano–bio interfacial behavior.

2.5 Characterization of QDs

The properties and performance of QDs are intrinsically governed by their structural, optical, and surface characteristics. This section outlines the principal analytical techniques utilized to assess QDs across three key parts, namely, structural and morphological features, size-dependent optical behavior, and surface chemistry. Together, a systematic and multi-faceted characterization approach is essential to establish clear structure–property relationships and guide their rational design for specific applications.

2.5.1 Structural and morphological analysis

The size and size distribution of QDs, which dictate their electronic structure and emission wavelength via the quantum confinement effect, are initially estimated using dynamic light scattering (DLS) (Xing et al., 2019), which provides the hydrodynamic diameterMulti-angle dynamic light scattering (MADLS) is a new method for providing better resolution for multi-modal populations and more accurate particle size distributions than traditional DLS (Coones et al., 2025). For precise determination of the core size, morphology, crystallinity, and lattice structure, high-resolution microscopy techniques are indispensable. Scanning electron microscopy (SEM) (Torchynska et al., 2007), transmission electron microscopy (TEM) (Gnanasekaran et al., 2015), and atomic force microscopy (AFM) (Cockins et al., 2010) are widely conducted to provide direct visualization of QDs at the nanoscale, while techniques such as powder X-ray diffraction (XRD) provide complementary data on the crystal phase and quality (Holder and Schaak, 2019).

2.5.2 Optical property analysis

The size-tunable optical properties of QDs are quantitatively assessed using spectroscopic methods. Optical characterization of QDs is usually provided by UV–Vis and PL, which offer fast, non-destructive, and contactless option. UV–Vis absorption spectroscopy determines the absorption onset and band gap, while PL spectroscopy measures the emission maxima, spectral shape, and quantum yield and (Hosseinpour-Mashkani and Sobhani-Nasab, 2017). Time-resolved PL spectroscopy further probes excited-state dynamics and surface defect states, offering insights into non-radiative recombination pathways (Van Sark et al., 2002).

2.5.3 Surface chemistry and functionalization analysis

Given the high surface-to-volume ratio of QDs, their colloidal stability, biocompatibility, and functional performance are critically dependent on the surface chemistry. This makes the characterization and modifications of surface ligands paramount. For QDs intended for biomedical applications, such as bioimaging and intracellular tracking, QDs have been coated with different surface ligands such as glutathione (Merkoçi et al., 2007), amphiphilic polymers (Gallagher et al., 2018), and N-acetyl-L-cysteine (Barriera and Bailón-Ruiz, 2020) to enhance the water solubility and stability and reduce toxicity. Overall, a combination of sophisticated techniques is utilized to validate and optimize these surface designs. Nuclear magnetic resonance (NMR) (Morris-Cohen et al., 2012) and Fourier transform-infrared spectrophotometry (FT-IR) (Cooper et al., 2011) are effective in confirming the successful binding and identity of organic ligands. X-ray photoelectron spectroscopy (XPS) is particularly powerful for determining the elemental composition and chemical states at the QDs’ surface, providing direct evidence of successful conjugation or shell formation, and it has been the technique of choice for the analysis of the surface of a variety of QDs (Virieux et al., 2012; Rath et al., 2008). Size exclusion chromatography (SEC) (Wu et al., 2016) is valuable for assessing hydrodynamic size changes and purity following surface functionalization. The insights gained from these techniques—such as verifying ligand density, assessing shell coverage, or identifying surface oxidation—directly inform the iterative refinement of synthesis and coating protocols. For instance, XPS data revealing incomplete surface passivation can guide adjustments in shell growth conditions to minimize surface traps and enhance photoluminescence quantum yield, which is a critical parameter for sensitive imaging (Isaacs et al., 2021).

3 Application of quantum dots in biomedical field

QDs technology emerged in the late 1970s, with early research primarily concentrated in the field of optoelectronics. A pivotal shift occurred in 1998 when QDs were first successfully utilized as biological probes in cellular systems, marking the inception of their application in biomedicine (Chan and Nie, 1998; Bruchez et al., 1998). A typical QDs platform features core/shell–ligand architecture. As shown in Figure 5, the semiconductor core indicates the fundamental optical properties, while an inorganic shell, often composed of a wider bandgap material, encapsulates the core to enhance its photostability and quantum yield. The outer layer provides aqueous solubility, biocompatibility, and further functional versatility. This layer can be conjugated with various biomolecules, such as peptides, antibodies, or oligonucleotides, for targeted recognition or modified with polymers such as PEG to improve pharmacokinetics (Liu et al., 2015). Collectively, these advantageous properties, including tunable emission, high brightness, and surface tailoring ability, establish QDs as highly promising nanomaterials for a wide range of biomedical applications. To provide a clear comparative overview of how different QD types perform across key biomedical fields, Table 2 summarizes the representative studies in cellular imaging, drug delivery, and single-virus tracking, highlighting their core structures, surface modifications, and critical performance metrics. The following Sections (3.1–3.3) discuss these applications in detail.

Schematic illustration of a typical QD’s structure.
Figure 5. Schematic illustration of a typical QD’s structure.

TABLE 2. Comparison of different types of quantum dots in cellular imaging, drug delivery, and single-virus tracking.

ApplicationTypesSpecific material/structureKey performance featuresReferences
Cellular imagingII–VI core/shellCdSe/ZnSHigh photostability, size-tunable emission, streptavidin conjugation for multiplex stainingWang et al. (2021), Bruchez et al. (1998), and Fountaine et al. (2006)
​III–V Cd-freeInP/ZnSe/ZnSLow toxicity; 64Cu chelation enables PET/fluorescence dual-modal tumor imagingZhao et al. (2025) and Lu et al. (2014)
​CQDs (biomass-derived)CQDs from palm shell, oyster shell, citric acid, and kitchen tea residueHeavy-metal-free, high water solubility, antibacterial activity, and green synthesisSaikia et al. (2023), Dhandapani et al. (2022), and Abu et al. (2023)
​CQDs (bone-targeting)CQDsHigh affinity and specificity for calcified tissuesPeng et al. (2017)
​Polymer dotsNIR800 P dotsNIR emission (∼800 nm), ultra-high brightness, excellent photostability, stem cell/cancer cell trackingVerma et al. (2020) and Yuan et al. (2020)
​Alloy core/shellCdSeZnS/ZnSQY 98%, retained 84.7% after surface modification; on-state fraction >99%Kim et al. (2022)
​Folate-targeted QDsCdTe@SiO2-FA-PEGFolate receptor-mediated endocytosis; specific recognition of FR-positive cancer cells;Dumbgen et al. (2023)
​Single-domain antibody-conjugated QDssdAb-HER2-QDs and sdAb-CEA-QDsDeep-tissue imaging; detection of micro-metastases and disseminated tumor cellsClarke et al. (2010)
​Zwitterionic/polymer-coated QDsQDs with PMA-based polymerspH-dependent surface charge, reduced protein adsorption, and enhanced colloidal stabilityZhang et al. (2025) and Liu et al. (2025a)
​Graphene quantum dotsGQDs from carbon fibersSize-dependent bandgap tuning; blue shift in absorption with increasing synthesis temperaturePeng et al. (2012)
Drug deliveryProton-sponge-coated QDsQDs + polyethylenimine (PEI)siRNA delivery; endosomal escape via proton sponge effect; 10–20-fold higher gene silencingYezhelyev et al. (2008)
​Polymeric micelles (theranostic)DSPE-PEG micelles loaded with CdSe QDs + doxorubicinQDs for diagnosis, doxorubicin for therapy; ∼50% cell death at 5 μg/mL; confocal imaging of uptakeKumar et al. (2012)
​pH-responsive CQDsCQDs-Pt(IV)@PEG-(PAH/DMMA)pH-sensitive covalent cisplatin conjugate; enhanced in vivo cancer therapeutic efficiencyFeng et al. (2016a)
​Transferrin-conjugated CQDsTransferrin-CQDs-doxorubicinCrossing blood–brain barrier; 5-fold higher nuclear doxorubicin in pediatric brain tumor cellsLi et al. (2016a) and Li et al. (2016b)
​Amphiphilic polymer-coated CQDsCQDs with PEG and folateImproved hydrophilicity and reduced toxicity; promising for tumor imagingDumbgen et al. (2023)
​Covalent drug conjugationCQDs with pH-sensitive or disulfide linkersControlled release; minimizes premature drug loss; responsive to tumor microenvironmentPourmadadi et al. (2024), Bao et al. (2019), Phillips et al. (2014), and Pillarisetti et al. (2017)
Single virus trackingEnvelope labeling (hydrazine-aldehyde)4-formylbenzoate modified QDs + IAVHigh selectivity and stable conjugation; labeling efficiency 92%–93%; no effect on infectivityHong et al. (2015)
​Inner-core labeling (vRNP)QD-labeled nucleoprotein antibodies + IAVDual-color QD-labeled IAV; 93% infectivity maintained; visualization of vRNP traffickingHong et al. (2018)
​Nucleocapsid labeling (host-cell-assisted)Biotinylated nucleocapsid + SA-QDsRecombinant baculovirus (RBV) tracking; real-time monitoring of single virusFu et al. (2024)
​Lipid-specific envelope labelingLipid-biotin conjugates + SA-QDsGeneral method for enveloped viruses (JEV, PRRSV, and IAV); 99% specificity, 98% efficiency; 2 h labelingWen et al. (2014)
​CRISPR/Cas9-based nucleic acid labelingdCas9/gRNA + SA-QDsPseudorabies virus (PRV) DNA labeling; real-time tracking of adsorption, transport, and nuclear entryYang et al. (2020a)
​CRISPR/Cas13-based dual-color labelingQDs for genome + QDs for envelope (JEV)In situ dual-color labeling; visualization of uncoating and genome release near ERMa et al. (2024)
​Actin/dynein transport studiesQDs-labeled IAVElucidation of three pathways for IAV to reach microtubules; role of dynactin subunitsDu et al. (2024) and Fu et al. (2024)

3.1 Imaging cells

QDs have emerged as powerful fluorescent probes for cellular imaging, largely due to their superior photostability and high brightness, which surpass the performance of conventional organic dyes and significantly reduce interference from cellular autofluorescence. These attributes make QDs particularly suitable for immunolabeling applications. A common strategy involves conjugating QDs to specific antibodies or utilizing biotin–streptavidin affinity systems to label cell-surface antigens. Fountaine et al. (2006) demonstrated the utility of multiplexed staining using streptavidin-conjugated QDs of distinct emissions, enabling simultaneous detection of seven specific antigens on tissue specimens. This approach facilitated detailed analysis of the spatial organization of biomarkers and compartmentalization of tissues with improved sensitivity, though it carried a risk of non-specific signal transfer via the streptavidin-QDs. This limitation can be mitigated by using pre-conjugated QD–antibody complexes for one-step staining, which also shortens the assay time, as exemplified by Sweeney et al. (2008) in a three-antibody multiplex stain on tonsillar tissue. More recently, QDs-based multiplexed imaging and spectral analysis have been reported to dissect the complex composition of tumor stroma, providing novel insights into tumor invasion and informing anti-cancer strategies (Peng et al., 2011; Hu et al., 2014; Chen et al., 2022).

A critical application of QDs imaging lies in cancer theranostics, where tracking cancer cells can guide therapy and monitor early treatment response or drug resistance (Kunachowicz et al., 2024). Conventional organic dyes are unsuited for deep-tissue imaging due to photobleaching and strong tissue absorption of visible light (Jacques, 2013; Clarke et al., 2010). In contrast, QDs-based probes offer a robust alternative. A step toward advancement involves conjugating QDs with uniformly oriented, high-affinity, single-domain antibodies (sdAbs or nanobodies) to form tumor-targeting nanoprobes (e.g., sdAb-HER2-QDs and sdAb-CEA-QDs) (Sukhanova et al., 2021). After quality control, sdAb-HER2-QDs/sdAb-CEA-QDs nanoprobes were used for deep-tissue imaging in animal models, successfully detecting micro-metastases and disseminated tumor cells in HER2- or CEA-expressing cancers. Confocal and two-photon microscopy confirmed specific binding to target cells (e.g., BT474 and MDA-MB231 breast cancer lines), visualized tumor invasion in the intestinal crypts and liver, and identified metastases in the lymph nodes and liver. These findings proved the potential of engineered QDs probes for tracking and treating cancers through high-resolution deep-tissue imaging.

Despite their advantages, QDs present certain limitations in cellular imaging concerning photobleaching, fluorescence stability, and the signal-to-noise ratio. While significantly more photostable than organic dyes, QDs are not entirely immune to photobleaching, especially when QDs are subjected to higher energy light, their photo brightening and photodarkening conjointly determine the photostability, which can degrade the ligand/shell structure or surface photo-oxidation (Chen G. H. et al., 2023). The fluorescence stability of QDs also depends on the surface chemistry (Bilan et al., 2015), positive sorption behaviors in the ligand exchanges (Jin et al., 2021), aggregation in various biochemical buffers (Boldt et al., 2006), and interaction with biological systems (Le et al., 2022), all of which can lead to quenching or blinking, thereby compromising quantitative imaging. Blinking, the intermittent fluorescence intermittency, arises from charge trapping at the surface defect sites or in the core, where photoexcited electrons or holes are temporarily immobilized, leading to non-radiative recombination. This phenomenon severely affects single-molecule tracking and quantitative imaging reliability. Three main mechanisms have been proposed to explain blinking, namely, Auger blinking due to QD charging, band-edge carrier (BC) blinking due to band-edge carrier trapping, and hot carrier (HC) blinking due to hot carrier trapping (Yang et al., 2025). Several effective strategies have been developed to suppress blinking, including surface modifications, reduction of Auger recombination, introduction of extra electron transfer channels, all-optical control, and enhancement of radiative recombination (Ahmad et al., 2025; Ghosh et al., 2021; Chouhan et al., 2021; Xie et al., 2022; Thomas et al., 2018; Shi et al., 2021). Notably, through advanced shell engineering, nearly non-blinking QDs with an on-state fraction exceeding 99% have been achieved through advanced shell engineering, accompanied by near-unity photoluminescence quantum yield (Ahmad et al., 2025). These advancements markedly improve the performance of QD-based devices and are particularly beneficial for biomedical applications such as single-particle tracking, in vivo and in vitro imaging, and biosensing. Furthermore, while their brightness improves the signal-to-noise ratio relative to autofluorescence, comparatively large hydrodynamic diameters of QDs can increase non-specific binding, affect cell membrane adsorption and internalization (Dong and Irudayaraj, 2012), and even hinder efficient tissue penetration (Zhang et al., 2018). Ongoing efforts to engineer smaller, brighter, and more biostable QDs, along with improved surface passivation and targeting strategies, are focused on overcoming these challenges to fully realize their potential in sensitive and quantitative bioimaging.

3.2 Drug delivery

In recent years, NPs such as micelles, liposomes, gold colloids, and polymers have gained significant traction in drug delivery research. However, a common limitation of many conventional NPs is the lack of real-time high-resolution imaging signals after in vivo administration. In contrast, QDs have multiple advantageous features as drug delivery systems, including their ease of fabrication, capability of conjugation to a wide variety of drugs, tuned physico-chemical properties, and interesting optical properties making them traceable drug carriers that can easily be monitored after administration.

Yezhelyev et al. (2008) reported a siRNA delivery and imaging system by coating QDs with a proton-sponge polymer. This platform enabled real-time dual-modality tracking of the entire delivery process—from cellular penetration and endosomal release to carrier unpacking and intracellular siRNA localization. However, endosomal escape is a critical bottleneck for QDs-based intracellular delivery. Following endocytosis, most nanocarriers are trapped in endo-lysosomal compartments, where hydrolytic enzymes degrade therapeutic drugs (Wang X. et al., 2025). The proton-sponge effect, utilized by polymers such as PEI and poly(beta-amino esters), induces osmotic swelling, leading to endosomal rupture (Qiu et al., 2023). Recent molecular dynamics simulations by Steinegger et al. (2026) further revealed that hydrophilic polymers such as PEI primarily utilize electrostatically driven membrane attachment and osmotic stress, whereas amphiphilic polymers (e.g., PBAE with 70% oleylamine) induce membrane fusion and lipid extraction, achieving higher escape efficiency at the cost of increased cytotoxicity. Lipid nanoparticles escape via membrane fusion, forming small pores with minimal endosomal damage and inflammation (Zhao et al., 2026). Photochemical internalization using light-triggered ROS generation offers another orthogonal strategy (Liu M. et al., 2025; Huang et al., 2025). Benefiting from the above escape mechanisms (especially the proton-sponge effect), the QD–siRNA system developed by Yezhelyev et al. achieved efficient cytosolic delivery. Compared with the transfection agent, the gene-silencing efficiency of the QD–siRNA nanoparticles achieved a 10–20-fold improvement. .

Building on the importance of endosomal escape, the intracellular trafficking pathways that determine the fate of QDs-based nanocarriers must also be carefully considered. Similarly, polymeric micelles have been engineered as integrated theranostic vehicles (Bagalkot et al., 2007; Chakravarthy et al., 2011). Kumar et al. (2012) exploited the hydrophobic core of the DSPE-PEG-based micelles for encapsulation of the anti-cancer drug doxorubicin (Dox) and CdSe QDs together to create a new drug-delivery vehicle, where the QDs are for diagnosis and Dox is for therapy. QDs micelles showed >95% cell survival after a 24-h incubation time period, demonstrating biocompatibility of the QD micelles. As shown in Figure 6, QDs–Dox micelles at a Dox concentration of 5 μg/mL showed a strong cytotoxic effect (∼50% cell survival), while at the same concentration, free Dox showed more than 65% cell survival, depicting the efficient delivery of Dox to the HeLa cells. Confocal microscopy confirmed time-dependent cellular uptake, validating the potential of such QD-loaded micelles for image-guided chemotherapy. The cellular internalization of these micelles is governed by their size, surface charge, and trafficking (Xiao et al., 2011). Generally, QDs with smaller diameters and neutral or negative surface charge enter cells predominantly via clathrin-mediated endocytosis, which delivers cargo to early endosomes and subsequently to lysosomes (Damian‐Buda and Boccaccini, 2026). In contrast, larger QDs or surface modifications such as using folic acid, cholesterol, or transferrin may engage caveolin-mediated endocytosis, a pathway that can bypass lysosomal degradation and enable transcytosis (Ortega-Liebana and Sanchez-Martin, 2025). Positively charged QDs were internalized via non-Fc receptor-dependent pathways (e.g., macropinocytosis or caveolin-mediated endocytosis) (Liu Y.-Y. et al., 2025). Understanding these uptake pathways is critical because they dictate intracellular trafficking kinetics and the final destination of the drug cargo, thus directly influencing the therapeutic efficacy. Nonetheless, the clinical translation of cadmium-based QDs systems is constrained by persistent concerns regarding the long-term toxicity, primarily due to potential cadmium ion leakage and the associated heavy metal exposure.

Confocal images of the HeLa cells incubated with QD–Dox micelles. The upper section shows the images acquired from the three different channels, and the lower section shows the overlaid images. Reproduced with permission from Kumar et al. (2012).
Figure 6. Confocal images of the HeLa cells incubated with QD–Dox micelles. The upper section shows the images acquired from the three different channels, and the lower section shows the overlaid images. Reproduced with permission from Kumar et al. (2012).

A promising alternative lies in CQDs, which offer comparable optical properties with markedly improved biocompatibility, low/none toxicity, and environmental friendliness. The manner in which a therapeutic drug is loaded onto CQDs, whether via physical adsorption, electrostatic binding, or covalent conjugation, critically determines the release kinetics, stability, and overall therapeutic efficacy (Noorizadeh and Letters, 2025; Krishnaswamy and Pandian, 2022). Physical adsorption strategy refers to the method through which molecules are physically adsorbed on carriers via inter-molecule interactions, such as ionic interactions, H-bonds, van der Waals forces, hydrophobic interactions, and dipole–dipole interactions, which is due to the saturation of the counter-ions of the carriers or the fast ion exchange that cause the initial rapid drug release (Li Q. et al., 2020). Electrostatic binding, while reversible, is sensitive to ionic strength and pH changes, leading to premature drug loss (Dua et al., 2023). In contrast, covalent conjugation forms stable amide or thioether bonds (e.g., via polyacrylicacid/polyethylene glycol or thiol-maleimide chemistry), which minimize premature release and provide controlled release profiles (Pourmadadi et al., 2024; Bao et al., 2019). To further enhance specificity, stimuli-responsive linkers, such as pH-sensitive hydrazone bonds or reducible disulfide bonds, can be introduced, allowing drug release only upon exposure to the acidic tumor microenvironment (Phillips et al., 2014; Pillarisetti et al., 2017). Recent research has focused on designing intelligent CQD-based nanocarriers with stimuli-responsive behaviors. Feng et al. (2016a), Feng et al. (2016b) developed a pH-responsive, charge-convertible CQDs nanocarrier for the delivery of cisplatin (IV), and the prepared CDs-based drug nanocarrier enhanced in vivo cancer therapeutic efficiency. As shown in Figure 7, the drug is covalently conjugated via pH-sensitive linkages, ensuring minimal premature release during circulation and rapid release upon endosomal acidification. This system, termed CQDs-Pt(IV)@PEG-(PAH/DMMA), exploits the pH difference between the tumor extracellular microenvironment to trigger drug release. Its smart design in featuring a PEG functionalized poly(allylamine) shell with hydrolyzable dimethyl maleic acid (DMMA) groups prolongs drug circulation time, enhances tumor accumulation through the enhanced permeability and retention (EPR) effect, facilitates endosomal escape, and eventually enhances the therapeutic effect in vivo. The high surface-area-to-volume ratio of CQDs, high loading, combined with amphiphilic polymer coatings or hollow structures, further improves the drug-loading capacity and stability. Furthermore, CQDs were modified for surface functionalization with targeting ligands, which can direct to specific tissues. A prominent example is the use of transferrin conjugation to mediate the blood–brain barrier (BBB) penetration. It was reported that transferrin, a ligand, could bind to the transferrin receptors and ferry transferrin-conjugated carriers to the central nervous system (CNS) (Wiley et al., 2013; Roberts et al., 1993). In this study, transferrin, dye-labeled transferrin, or fluorescein were first covalently conjugated to CQDs and tested for their ability to cross the BBB. CQDs or the conjugates, transferrin-CQDs, and dye-transferrin-CQDs were injected intravascularly to the heart of the zebrafish to examine the possibility of transporting CQDs into the CNS. Results from the confocal fluorescence images’ fluorescence intensity were tested in the dye–transferrin–CQDs group but not in both the control and CQDs group. The fluorescence intensity was strong enough, and transferrin-conjugated CQDs could successfully “light up” the central nervous system (Li et al., 2016a). Li et al. (2016b) further designed a targeted delivery system (C-Dots-Trans-Dox) by conjugating doxorubicin to transferrin-coated CQDs. Four pediatric cell lines with overexpressed transferrin receptors and SJGBM2 cells were chosen for treatment with 500 nM conjugate or Dox to examine the cellular uptake. Results showed that approximately 5-fold more Dox was observed in the nuclei of the C-Dots-Trans-Dox group than in the group receiving Dox alone, indicating that Dox was delivered to these brain tumor cells effectively by the transferrin–CQDs-mediated delivery system. For the efficacy of C-Dots-Trans-Dox, in vitro experiments showed that C-Dots-Trans-Dox at 10 nM was significantly more cytotoxic than Dox alone, reducing viability by 14%–45%, across multiple pediatric brain tumor cell lines. Therefore, more research regarding the QDs–Dox micelle complex needs to be conducted to determine its efficacy and safety.

Schematic illustration for the preparation **(a)** and drug delivery process **(b)** of CDs-Pt(IV)@PEG-(PAH/DMMA). Reproduced with permission from Feng et al. (2016a).
Figure 7. Schematic illustration for the preparation (a) and drug delivery process (b) of CDs-Pt(IV)@PEG-(PAH/DMMA). Reproduced with permission from Feng et al. (2016a).

Concerns about the biocompatibility and long-term safety of QDs are prominent, particularly regarding those containing heavy metals such as cadmium. Research is essential to develop safer alternatives that are free from cadmium and other toxic materials, ensuring that QDs can be safely used in clinical settings (Mandal et al., 2013). To date, only 10 clinical trials for QDs have been registered, with one being completed and three being subsequently withdrawn (Table 3) (Pareek et al., 2025). Despite promising preclinical advances, several multifaceted challenges hinder the clinical adoption of QD-based drug delivery systems. First, the potential toxicity of QDs might compromise the patient’s health over time. The risks of ion leaching, oxidative stress, and cumulative organ toxicity necessitate rigorous in vivo chronic toxicity studies (Lin and Chen, 2023; Liu et al., 2022). Even for CQDs, some index such as detailed pharmacokinetics, biodistribution, immunogenicity, and potential off-target effects should be evaluated in relevant animal models (Ali et al., 2025; Kumar et al., 2025). Quantitative pharmacokinetic parameters including circulation half-life, volume of distribution, clearance rate, area under the curve, and mean residence time are essential for evaluating the clinical potential of QDs, but they remain largely unreported for most QDs formulations (Ishaque et al., 2025). For nanomaterials delivered intravenously, surface chemistry critically determines these parameters: half-life of the PEGylated nanoparticles increased from 1 to 241 min, whereas non-PEGylated or positively charged QDs are cleared within minutes (Mishra et al., 2025; Jednorski, 2023). For efficient renal clearance, QDs require an optimal diameter below 5.5 nm; while larger ones (>10 nm) predominantly accumulate in the liver and spleen, with over 80% of the injected dose often localized in these organs within 24 h (Ishaque et al., 2025). Such quantitative biodistribution data are critical for predicting the therapeutic efficacy and long-term safety. Second, QDs can undergo degradation, compromising their performance as drug-delivery vehicles (Hardman, 2005). Surface modification and encapsulation techniques are being explored to enhance these parameters. Heterogeneous expression of the target receptors in patient populations, non-specific uptake by the reticuloendothelial system, and physiological barriers can severely limit the delivery efficacy (Hu et al., 2024). Upon contact with biological fluids (blood, intestinal, or respiratory tract fluid), QDs that are rapidly covered with biomolecules, mainly protein, form a so-called protein corona, which can alter the physicochemical properties of QDs, thereby increasing the hydrodynamic diameter (Monopoli et al., 2020; Bilardo et al., 2022). Such aggregation accelerates reticuloendothelial system clearance, shortens circulation half-life, and alters the volume of distribution, leading to enhanced liver/spleen accumulation and reduced tumor targeting (Khosla et al., 2025; Wang Y. et al., 2025). Third, the interaction of QDs with the immune system represents another critical hurdle. Upon systemic administration, QDs are opsonized by plasma proteins, which tag them for recognition and uptake by macrophages of the reticuloendothelial system (Peng et al., 2024). Surface-engineering strategies such as dense PEGylation, zwitterionic coatings, or CD47-derived “do not eat me” peptides can inhibit phagocytosis and prolong circulation (Singh et al., 2026). However, multiple dosing of PEGylated drugs did not completely abolish protein adsorption and may even trigger anti-PEG antibodies, leading to accelerated clearance (Fu et al., 2025). Rational design should aim for controlled immune interactions that balance circulation time with eventual clearance and safety. Fourth, scalable manufacturing processes for the widespread clinical use of QDs should be established. Emerging methods, such as PDMS-based devices and additive-manufactured microfluidics, offer scalable, cost-effective, and sustainable production of QDs with enhanced application potential (Fadlelmula et al., 2024; bin Nasser Sarbaland et al., 2025). Addressing these challenges, we require sustained interdisciplinary collaboration across materials science, pharmacology, toxicology, and regulatory science, paving the way for the clinical realization of QDs-based theranostics.

TABLE 3. Clinical trials involving quantum dots.

NoStudy titleNCT numberStatusConditions
1Intravitreal Quantum Dots (QD) for Advanced Retinitis Pigmentosa (RP) (QUANTUM)NCT05841862WithdrawnRetinitis pigmentosa
2Topical Fluorescent Nanoparticles Conjugated Somatostatin Analog for Suppression and Bioimaging Breast CancerNCT04138342Unknown statusBreast cancer, skin cancer, and skin diseases
3Electrochemical Biosensor Based on Lectin-functionalized Nitrogen, Sulfur-doped Graphene Quantum Dot Decorated Gold Nanoparticles for Breast Cancer Diagnosis: From Academic Research to Clinical TranslationNCT07034248Not yet recruitingElectrochemically sensing probBreast cancer diagnosis
4Quantum Molecular Resonance Effects on Patients With Dry Eye DiseaseNCT05469932Unknown statusDry-eye syndromes
5Clinical Trials of Photoelectrochemical Immunosensor for Early Diagnosis of Acute Myocardial InfarctionNCT04390490Unknown statusAcute myocardial infarction
6A Novel Fluorescent Ductal Needle for Localization and Sampling of High-risk Breast Micro LesionsNCT06994416Not yet recruitingMammary tumorNipple discharge
7Assessing the Safety and Efficacy of FSD-F2R6-A-CP in Volunteers in an Induced State of Alcohol IntoxicationNCT06505239CompletedAcute alcohol intoxication
8Diabetes Autoimmunity Withdrawn in New Onset and In Established PatientsNCT03895437Active, not recruitingDiabetes mellitus, type 1
9Diabetes Autoimmunity Withdrawn in Established Patients (DAY)NCT03794960WithdrawnDiabetes mellitus, type 1
10Diabetes Autoimmunity Withdrawn in New Onset Patients (DAWN)NCT03794973WithdrawnDiabetes mellitus, type 1

3.3 Single-virus tracking

Viral infection is a complex and dynamic process involving specific receptor binding, cellular entry (often via endocytosis or membrane fusion), intracellular transport, and eventual release of the viral genome at appropriate sites for replication (Marsh and Helenius, 2006). Understanding these mechanisms of viruses is an important way to prevent and treat viral diseases and develop antiviral drugs. SVT has emerged as a crucial technique to follow individual viruses, visualize their transport behaviors, dissect their dynamic interactions with the host cells, and reveal the detailed insights into infection dynamics (Wang et al., 2021; Li et al., 2018). A key advantage of SVT is its ability to monitor these processes directly and dynamically over extended periods. Compared with traditional organic dyes, the excellent brightness and superior photostability of QDs enable them to be tracked for extended periods of time with low laser intensity, making them particularly favorable for acquiring time-series images or z-stacks for 3D reconstructions (Dahan et al., 2003; Grütter et al., 2006). In 2008, QDs were first successfully utilized to specifically label the envelope of viruses without significant effect on the infectivity of the virus, thereby allowing the uptake mechanism to be analyzed in detail (Joo et al., 2008). This was considered a watershed moment for SVT, with increasing technologies and methods being used for real-time tracking of viruses.

QDs have high brightness, which enables labeling a virus with sufficient brightness using very few QDs or even just one QD. Moreover, QDs hold the potential to facilitate the conjugation of a virus with a variety of labeling strategies because of the abundant surface ligands. As shown in Figure 8, many strategies, such as biotin–streptavidin interaction, direct chemical reaction, and peptide tag-mediated labeling have been developed to label virus with fluorescence by QDs-based single-virus tracking (QSVT). For instance, Hong et al. (2015) devised a convenient hydrazine-aldehyde-based strategy to label the influenza A virus (IAV) by conjugating 4-formylbenzoate-modified QDs to 6-hydrazinonicotinate acetone hydrazone-modified viral surface, achieving high selectivity, stable conjugation, and a labeling efficiency of 92%–93% without compromising infectivity. Building on surface labeling, the coupling of QDs to the viral ribonucleoprotein (vRNP) complexes inside IAV was developed, where vRNP complexes were central to every aspect of the IAV life cycle. In this study, as shown in Figure 9, green QDs-labeled nucleoprotein antibodies were transferred into H1N1 to achieve labeling of vRNP complexes with QDs, resulting in a two-color QD-labeled IAV, which could maintain 93% infectivity (Hong et al., 2018). Recently, the team of Dai-wen Pang (Du et al., 2024; Fu et al., 2024) further used QSTV to comprehensively visualize the role of the actin cytoskeleton in IAV entry and quantitatively dissected the triple roles of dynactin in dynein-driven transport. The results showed three different pathways for IAV to reach dynein along microtubules (MTs), namely, the virus (1) was driven by myosin VI to move along actin filaments to reach MTs (AF); (2) was propelled by actin tails assembled by an Arp2/3-dependent mechanism to reach MTs; and (3) directly reached MTs without experiencing actin-related movement (Du et al., 2024). After the entry of virus, virus-carrying vesicles bound to dynein and dynactin before being delivered to MTs. The attachment of dynein to the vesicles was dependent on dynactin and its subunits p150 Glued and Arp1 (Fu et al., 2024). Wen et al. (2014) proved a host cell-assisted strategy to label the nucleocapsid of real enveloped viruses with QDs. Briefly, VP39-AP was coupled with biotin and biotinylated nucleocapsid during the virus replication process, the virus was assembled, and it was finally budded to form the recombinant baculovirus (RBV). SA-QDs were subsequently used to site-specifically label the nucleocapsid of RBV based on the close interaction between biotin and streptavidin, monitored by tracking single-QDs-RBV in real-time. Zhang et al. (2020) reported a general method to mildly and readily label enveloped viruses, where lipid–biotin conjugates were used to recognize and mark viral lipid membranes and SA-QDs were used to light enveloped viruses, such as JEV, porcine reproductive and respiratory syndrome virus, and influenza A virus. Enveloped viruses were labeled in 2 h with specificity and efficiency up to 99% and 98%, respectively, and key protein-mutated in JEV did not affect the virus intracellular trafficking. These findings indicated that the streptavidin system was developed as a method for site-specifically labeling viral particles with QDs for single-virus tracking and provided important insights into the cell’s endocytic transport mechanism.

Strategies for labeling a virus with QDs in QSVT experiments. Reproduced with permission from Wang et al. (2021).
Figure 8. Strategies for labeling a virus with QDs in QSVT experiments. Reproduced with permission from Wang et al. (2021).
Schematic diagram of dual-labeling the vRNP complexes and the envelope of IAV with QDs. Reproduced with permission from Hong et al. (2018).
Figure 9. Schematic diagram of dual-labeling the vRNP complexes and the envelope of IAV with QDs. Reproduced with permission from Hong et al. (2018).

Packaging QDs into the internal components of viruses, such as DNA or RNA, and protein complexes is optimal for monitoring late infection events, enabling enhanced understanding of viral infection mechanisms. However, these approaches lack targeting and specificity. The clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system utilizes CRISPR RNA to accurately direct foreign nucleic acid recognition and targeting, which provides a potential strategy to label internal viral components with QDs’ specificity, reliability, and commonality (Yang et al., 2020a; Huang et al., 2023; Thuma et al., 2023). Yang et al. (2020a) firstly utilized a CRISPR imaging system to label PRV nucleic acids with QDs. As shown in Figure 10, biotinylated dCas9 protein and a gRNA against the US2 gene of PRV were designed and prepared in vitro. Then, dCas9-Bio/gRNAUS2 complexes and SA-QDs were transfected into HEK293T cells to form PRV-QD, followed by infection with PRV. Vero and HeLa cells were used to monitor the processes of PRV-QDs in real-time, including PRV-QDs adsorption, cytoplasmic transport along microtubules, and nuclear entry, indicating that this approach can be used for long-term SVT (Yang et al., 2020a; Yang et al., 2020b). Ma et al. (2024) utilized the CRISPR/Cas13 system and a bio-orthogonal metabolic method to label JEV genome and envelopes with different-colored QDs in situ. The combination of this procedure with STV aided in visualizing JEV uncoating and genome release in real-time near the endoplasmic reticulum of live cells. Therefore, QDSV is an exquisitely selective and powerful approach to study how viruses internalize in host cells dynamically and release their genome for viral replication and assembly, ensuring the completion of viral life cycles.

Schematic of SA-QD packaging into PRV during viral assembly for a CRISPR/Cas9-based imaging system. Reproduced with permission from Yang et al. (2020a).
Figure 10. Schematic of SA-QD packaging into PRV during viral assembly for a CRISPR/Cas9-based imaging system. Reproduced with permission from Yang et al. (2020a).

4 Biosafety of quantum dots

QDs can participate in cell imaging, drug-targeted therapy, and virus tracking, which can greatly improve the current medical status and provide targeted medical diagnosis and treatment. It is likely to become a core nanomaterial in the research of biomedical materials and has gained wide attention from researchers around the world. However, the toxicity of QDs, such as immunotoxicity, hepatotoxicity, nephrotoxicity, and respiratory toxicity, among others, still is the main factor that limits their applications. The toxicity mechanisms of QDs can be summed up as the following three points: (1) the core of QDs interact with the medium to degrade and release heavy metal ions such as Cd2+; (2) increased intracellular oxidative stress by producing ROS and inducing apoptosis; (3) non-specific adsorption to the surface of the cell, binding with the protein, destroying the structure, and affecting the normal function of the cell. The toxicity of QDs is a complex process, including the interaction with the body, cells, and molecules (Campalani and Monbaliu, 2025). The toxicity of QDs depend on multiple physicochemical factors, including the chemical composition, particle size, different surface modifications, exposure route, time and administration of QDs, and even the environmental condition (Wang and Tang, 2018; Lin and Chen, 2023). Therefore, scientists are making great efforts to solve this problem in order to use them safely for subsequent bioconjugation with proteins, peptides, or other chemical moieties.

4.1 Toxicity mechanisms

Before exploring the factors influencing the QDs’ toxicity in detail, it is essential to understand the primary mechanisms underlying their cytotoxic effects, which generally follow three interconnected pathways, namely, degradation-mediated release of toxic ions, generation of reactive oxygen species (ROS), and direct interaction with cellular membranes and intracellular components. First, the core of conventional QDs can interact with the medium to degrade and release heavy metal ions such as Cd2+ and Ag+ (Fan et al., 2023). Traditional QDs, including CdSe, CdTe, or CdS, contain cadmium—a heavy metal known for its potential cytotoxicity, genotoxicity, and carcinogenicity. Under physiological conditions, multiple factors including pH, ionic strength, and enzymatic activity can destabilize QDs, including surface degradation or corrosion of the inorganic core, leading to the leaching of Cd2+ ions (Sabarees, 2026; Katendra et al., 2026). Once released Cd2+ ions disrupt mitochondrial function by binding to sulfhydryl groups in key mitochondrial proteins, leading to oxidative stress and functional impairment. The rate and extent of ion release are highly dependent on environmental conditions: acidic environments (e.g., endosomes and lysosomes, pH 5.0) significantly accelerate Cd2+ release compared to neutral environments with pH (6.5) and pH (9.0), while high ionic strength promotes QD aggregation and alters the surface reactivity, thereby affecting degradation kinetics (Paydary, 2018; Mohammadpour and Molaabasi, 2023). Physiological concentrations of proteins and enzymes can bind to QD surfaces, either stabilizing them through corona formation or accelerating degradation via ligand displacement or enzymatic attack. Second, semiconductor QDs, particularly those containing heavy metals, can undergo photo-induced electron transfer upon exposure to light, leading to the production of ROS, such as superoxide, hydroxyl radicals, and singlet oxygen (Chen P. et al., 2026). This process occurs when photoexcited electrons or holes migrate to the QDs’ surface and react with molecular oxygen or water, respectively, and the oxidative stress thus caused can damage cellular components such as lipids, proteins, and DNA, ultimately triggering apoptosis or necrosis (Jomova et al., 2023; Zhao et al., 2023). Several factors influence ROS generation, including the core composition (e.g., CdTe produces more ROS than CdSe or CdS due to its narrower bandgap) and surface coating, (e.g., ZnS shells reduce ROS by confining excitons) (Chen Y. et al., 2026; Wang Z. et al., 2026). Importantly, ROS-mediated toxicity can occur even in the absence of heavy metal release, as demonstrated by carbon-based QDs (Chen P. et al., 2026; Famutimi et al., 2025). Third, another potential cause of QD toxicity is their direct interaction with cellular components. Some studies have indicated that QDs aggregate on the cell surface by binding to cell membrane receptors and are subsequently internalized via receptor-mediated or clathrin-mediated endocytosis (Zhang et al., 2011; Saulite et al., 2017). This interaction can lead to cell membrane damage, structural alterations in membrane proteins, and disruptions in the transport of substances across the membrane. Once internalized, QDs may accumulate in endolysosomal compartments, where the acidic pH can further promote degradation and ion release, creating a positive feedback loop that exacerbates toxicity (Wang Q. et al., 2026; Guha and Ghosh, 2022). Moreover, surface charge critically influences these membrane interactions: positively charged QDs tend to disrupt membrane integrity more severely than neutral or negatively charged ones, leading to increased cytotoxicity and hemolysis (Jiang et al., 2024; Niveria et al., 2023). In summary, the toxicity of QDs arises from a complex interplay of ion leaching, ROS generation, and direct membrane interaction mechanisms that are not mutually exclusive but often operate synergistically depending on the physicochemical properties of the QDs and their environmental context. A mechanistic understanding of these pathways is essential for designing safer QDs and accurately predicting their in vivo biosafety.

4.2 Factors that influence toxicity of quantum dots

4.2.1 Chemical composition

The fundamental factor of QDs’ toxicity is their composition. By far, the most commonly used quantum dots are Cd-based QDs, such as CdSe (cadmium selenide). Cd2+ has been identified as a carcinogen by the International Cancer Research Center and is recognized as a toxic heavy metal, which accumulates among the mesh endometrial system, such as the liver, spleen, lung, and kidney, and exhibits various immune responses and tissue damage. Winiarska-Mieczan and Kwiecień (2016) reported that more than 60% of the Cd2+ administered to rats accumulates in the liver. The relationship between the distribution percentage of Cd in the studied organs can be presented as liver > kidneys > brain > lungs > heart > spleen, and the liver is a major target of Cd injury. Latest research has indicated that the main mechanism of liver damage caused by Cd2+ in vitro is the binding of sulfhydryl groups in key mitochondrial proteins, leading to functional inactivation of these proteins, leading to oxidative stress, DNA impairment, mitochondrial dysfunction, autophagy induction, inflammatory cell infiltration, and fibrosis (Zhang Y. et al., 2023; Sun et al., 2023; Liu et al., 2023). Simultaneously, a layer of semiconductor shell was usually coated on the surface of QDs to reduce the leakage of Cd2+ and the formation of free ions, thus reducing the toxicity. To address this problem, some non-Cd QDs, such as InP/ZnS (Brunetti et al., 2013), ZnSe/ZnS (Nie et al., 2022), CQDs (Chung et al., 2021), and CuInS2/ZnS (Lim et al., 2023), have recently been developed. Of course, surface modifications, such as different surface functional groups (e.g., COOH, NH2, or OH) or surface charge on QDs, affect their biological behavior and toxic effects (Zheng et al., 2021).

4.2.2 Particle size

The distribution and metabolism of QDs varied with the type, dose, particle size, and surface coating. Previously, Huang et al. (2019) found that there was a size-dependent recognition in QDs, where the smaller QDs tended to accumulate in human breast carcinoma cells and caused significant toxicity. Consistently, it has been confirmed that smaller QDs have stronger toxic effects on the immune system as they are more likely to pass through immune cells (Bi et al., 2023). However, unlike in vitro cultured cells, researchers pointed out that the biodegradation and excretion of QDs in organs and tissues was related to the clearance time and the size of QDs. Su et al. (2011) pointed out that biodistribution of QDs was size-dependent. The QDs initially accumulated in the liver, QDs with larger sizes accumulated more quickly in the spleen, and the smaller QDs were absorbed by the kidney more easily. As is known, the glomerular filtration barrier has a “size cut-off” criterion, where the smaller QDs are rapidly excreted through the kidneys. Meanwhile, the QDs larger 6 nm–8 nm accumulate in the body and take a long time to clear (Du et al., 2017). Ge et al. (2017) systematically studied the biodistribution and clearance of the ultra-small Ag2Se QDs (<3 nm) in mice. The results showed that Ag2Se QDs could be cleared out at 168 h even at the high injection dosage of 150 mg/kg, and the blood circulation half-life was 0.25 h. Moreover, there are no abnormal pathological changes in the heart, liver, spleen, lung, kidney, and brain of the mice.

4.2.3 Different surface modifications

Surface function group modification of QDs is an important factor for their biological effects. Since the majority of QDs are composed of toxic substances, shells or macromolecules are often coated on the surface in order to reduce the biotoxicity. In addition, researchers hope that the QDs could be eliminated from the body over time, rather than being broken down or accumulated in the organs for a long time. Zheng et al. (2021) compared the in vivo toxicity of CdSe/ZnS QDs with -COOH and -NH2 modification using zebrafish embryos. They found that the two QDs mainly attached to the embryo membrane and the eyes, yolk, and pericardium of zebrafish larva and led to a decrease in embryo movement, survival rate, and hatching rate and an increase in cardiac malformation and dysfunction. Moreover, the carboxyl QDs are more toxic, possibly due to the higher affinity and greater release, to embryos and larvae. Li L. et al. (2020) systematically evaluated the effects of different surface modifications on the biodistribution and toxicity of InP QDs. In this research study, three kinds of InP/ZnS QDs with different surface modifications, hQDs (QDs-OH), aQDs (QDs-NH2), and cQDs (QDs-COOH), were analyzed for the biodistribution and in vivo toxicity of InP/ZnS QDs. Biodistribution of the three QDs was determined through cryosection fluorescence microscopy and ICP-MS analysis. These types of InP/ZnS QDs were rapidly distributed in the major organs of mice, mainly in the liver and spleen, and lasted for 28 days, and the results of H&E staining showed that no obvious histopathological abnormalities were observed in the main organs. No abnormal behavior, weight change, or organ index were observed during the whole observation period. These results provided a better understanding of the effects of the surface chemistry on the toxicity of QDs at the animal level and also facilitate the synthesis of safer QDs in biomedical applications.

5 Conclusions and perspective

5.1 Conclusion

This review article is based on the prospective and application of quantum dots in biomedical. A brief summary about the types of quantum dots, optical properties, as well as synthesis and characterization methods. Subsequently, applications of quantum dots in the biomedical field, such as cell imaging, drug delivery were discussed and with examples were covered. A particular emphasis focal on roles/applications for QDs-based single-virus tracking, which offered a powerful tool to monitor the dynamic behaviors, infection mechanisms of viruses. Finally, the toxicity mechanisms of quantum dots are discussed based on their chemical composition, particle size, and surface modifications.

Quantum dots are a new type of inorganic nanocarriers composed of heavy metal or inorganic core material coated with shell. Based on their core composition, QDs can be classified into 12 main categories: I B-VI A, I B-VII A, II B-VI A, III A-V A, IV A-VI A, IV A, V A, I B-III A-VI A, P dots, TMDCs, MXene, and Perovskite. The name quantum dots itself indicates its quantum confinement, optical properties and high surface-to-volume ratio. QDs can be synthesized through various methods, including colloidal synthesis, electrochemical synthesis, bio-templated synthesis, and biosynthesis. Each method is associated with certain advantages and disadvantages. Characterization of QDs can be done by spectro-scopic, microscopic, dynamic light scattering, electrical techniques and so on. Functionalization or surface modification of QDs made them to meet specific biomedical applications. Recent research about application of QDs in biomedical summarized here, there are still several major roadblocks. Here, we particularly discussed the QSTV technology. The tacking of the virus infection process not only needs biological labels with excellent performance but also requires the establishment of the efficient, specific, fixed-point, and quantitative in situ labeling methods according to the structure of the virus and the characteristics of the dynamic infection process, which is crucial to acquiring more accurate information by QSVT. So far, monitoring virus assembly and egress with QSVT remains a challenge. Most of the current SVT studies are carried out at the cellular level, which cannot provide the most authentic and reliable information for understanding the viral infection mechanisms. Thus, it is urgent to develop new labeling methods and imaging methodologies to probe the viral journey in live tissues or in vivo. With decades of development of QSVT in virological research, new strategies for virus labeling and cutting-edge imaging instrumentation and the establishment of suitable data analysis methods will be development to uncover unrevealed mechanisms of virus infection.

5.2 Future prospect

As toxicity concerned in biological field is the major issue with quantum dots; in future attempts would be made to minimize this toxicity with improved pharmacological response. Development of non-toxic QDs or functionalizing QDs to target specific organs or tissues may lower systemic toxicity. Information about the intracellular delivery of quantum dots is yet to be investigated because its bio distribution, metabolism, excretion, under the disease mode is not clear. Quantum dots thus have great future in medical field and is still a long process.

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Footnotes

Edited by: Kumud Malika Tripathi, Indian Institute of Petroleum and Energy (IIPE), India

Reviewed by: Jaya Dwivedi, Banasthali University, India

Himanshu Asati, Indian Institute of Technology Jodhpur, India

Statements

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by grants from the Scientific and Technological Research Project of Henan Province (No.242102110051 and No.262102310400) and the Natural Science Foundation of Henan Province (No.242300421583).

Author contributions

JW: Writing – original draft, Writing – review and editing, Funding acquisition. YQ: Funding acquisition, Writing – review and editing. MX: Funding acquisition, Writing – review and editing.

References

  1. Abdellatif A. A., Younis M. A., Alsharidah M., Al Rugaie O., Tawfeek H. M. (2022). Biomedical applications of quantum dots: overview, challenges, and clinical potential. Int. J. Nanomedicine 17, 1951 – 1970. doi:10.2147/ijn.s357980
  2. Abu N., Chinnathambi S., Kumar M., Etezadi F., Bakhori N. M., Zubir Z. A. (2023). Development of biomass waste-based carbon quantum dots and their potential application as non-toxic bioimaging agents. RSC Adv. 13, 28230 – 28249. doi:10.1039/d3ra05840a
  3. Ahmad I., Khan A., Rehman A., Zahid M., Khalid J., Saleem S. (2025). Blinking effect in quantum dots, its suppression mechanism, and applications in medical imaging and biosensing: a review. AVS Quantum Sci. 7, 021101. doi:10.1116/5.0244906
  4. Ai Y., Liu X., Yang B., Li Q., Liu S. (2022). Lead sulfide quantum dot assembly with biocompatible mechanical property and tunable hydrophilicity. Mater. Sci. Semicond. Process. 140, 106374. doi:10.1016/j.mssp.2021.106374
  5. Ai Y., Shang J., Wu G., Liu X., Liu S. (2024). “ Dual-Functionalities of DMSA for fine-tunable photoluminescence of PbS synthesized efficiently on the bio-templates,” in 2024 21st China International Forum on Solid State Lighting & 2024 10th International Forum on Wide Bandgap Semiconductors (SSLCHINA: IFWS). Piscataway, NJ: IEEE, 470 – 473. doi:10.1109/SSLCHINAIFWS64644.2024.10835308
  6. Ali S. A., Saichand T., Shingote T., Harshitha B., Babu S. S., Velyutham R. (2025). “ Synergizing carbon quantum dots for biomedical Imaging, targeted drug delivery, and photodynamic therapy,” in Carbon Quantum Dots from Natural Sources. CRC Press, 165 – 194.
  7. Arezki Y., Delalande F., Schaeffer-Reiss C., Cianférani S., Rapp M., Lebeau L. (2022). Surface charge influences protein corona, cell uptake and biological effects of carbon dots. Nanoscale 14, 14695 – 14710. doi:10.1039/d2nr03611h
  8. Bagalkot V., Zhang L., Levy-Nissenbaum E., Jon S., Kantoff P. W., Langer R. (2007). Quantum dot-aptamer conjugates for synchronous cancer imaging, therapy, and sensing of drug delivery based on bi-fluorescence resonance energy transfer. Nano Lett. 7, 3065 – 3070. doi:10.1021/nl071546n
  9. Bai Y., Hao M., Ding S., Chen P., Wang L. (2022). Surface chemistry engineering of perovskite quantum dots: strategies, applications, and perspectives. Adv. Mater. 34, 2105958. doi:10.1002/adma.202105958
  10. Bao W., Ma H., Wang N., He Z. (2019). pH‐sensitive carbon quantum dots− doxorubicin nanoparticles for tumor cellular targeted drug delivery. Polym. Adv. Technol. 30, 2664 – 2673. doi:10.1002/pat.4696
  11. Barbalinardo M., Chiarini F., Teti G., Paganelli F., Mercadelli E., Bartoletti A. (2025). A Surface charge overrides protein corona formation in determining the cytotoxicity. Cellular Uptake, Biodistribution Silver Nanoparticles 8, 5032 – 5043. doi:10.1021/acsabm.5c00392
  12. Barriera E. A. C., Bailón-Ruiz S. J. (2020). Fabrication, characterization, and nanotoxicity of water stable quantum dots. MRS Adv. 5, 2231 – 2239. doi:10.1557/adv.2020.260
  13. Bechu A., Liao J., Huang C., Ahn C., McKeague M., Ghoshal S. (2021). Cadmium-containing quantum dots used in electronic displays: implications for toxicity and environmental transformations. ACS Appl. Nano Mater. 4, 8417 – 8428. doi:10.1021/acsanm.1c01659
  14. Bi J., Mo C., Li S., Huang M., Lin Y., Yuan P. (2023). Immunotoxicity of metal and metal oxide nanoparticles: from toxic mechanisms to metabolism and outcomes. Biomater. Sci. 11, 4151 – 4183. doi:10.1039/d3bm00271c
  15. Bilan R., Fleury F., Nabiev I., Sukhanova A. (2015). Quantum dot surface chemistry and functionalization for cell targeting and imaging. Bioconjug. Chem. 26, 609 – 624. doi:10.1021/acs.bioconjchem.5b00069
  16. Bilardo R., Traldi F., Vdovchenko A., Resmini M. (2022). Influence of surface chemistry and morphology of nanoparticles on protein corona formation. WIREs Nanomed. Nanobiotechnol. 14, e1788. doi:10.1002/wnan.1788
  17. Bin Nasser Sarbaland F., Kobayashi M., Tanaka D., Fujita R., Furuya M. (2025). Redefining quantum dot synthesis with additive-manufactured microfluidics. A Rev. 8, 1 – 32. doi:10.3390/j8020018
  18. Birdoğan S., Karabulut M. (2021). Comparison of the effects of different ionic liquid-gels on the efficiencies of the PbSe, PbS and PbTe quantum dot sensitized solar. Cells 111, 110603. doi:10.1016/j.optmat.2020.110603
  19. Boldt K., Bruns O. T., Gaponik N., Eychmüller A. (2006). Comparative examination of the stability of semiconductor quantum dots in various biochemical buffers. J. Phys. Chem. B 110, 1959 – 1963. doi:10.1021/jp056371p
  20. Borovaya M., Pirko Y., Krupodorova T., Naumenko A., Blume Y., Yemets A. J. B. (2015). Biosynthesis of cadmium sulphide quantum dots by using Pleurotus ostreatus (Jacq.) P. Kumm. Biotechnol. Biotechnol. Equip. 29, 1156 – 1163. doi:10.1080/13102818.2015.1064264
  21. Bruchez M. Jr, Moronne M., Gin P., Weiss S. (1998). Semiconductor nanocrystals as fluorescent biological labels. Science 281, 2013 – 2016.
  22. Brunetti V., Chibli H., Fiammengo R., Galeone A., Malvindi M. A., Vecchio G. (2013). InP/ZnS as a safer alternative to CdSe/ZnS core/shell quantum dots. Vitro Vivo Toxicity Assess. 5, 307 – 317. doi:10.1039/c2nr33024e
  23. Brus L. E. (1984). Electron–electron and electron‐hole interactions in small semiconductor crystallites: the size dependence of the lowest excited electronic state. J. Chem. Phys. 80, 4403 – 4409. doi:10.1063/1.447218
  24. Campalani C., Monbaliu J.-C. M. (2025). Towards sustainable quantum dots: regulatory framework, toxicity and emerging strategies. Mater. Sci. Eng. R 163, 100940. doi:10.1016/j.mser.2025.100940
  25. Chakravarthy K. V., Davidson B. A., Helinski J. D., Ding H., Law W. C., Yong K. T. (2011). Doxorubicin-conjugated quantum dots to target alveolar macrophages and inflammation. Nanomedicine 7, 88 – 96. doi:10.1016/j.nano.2010.09.001
  26. Chan W. C., Nie S. (1998). Quantum dot bioconjugates for ultrasensitive nonisotopic detection. Sci. 281, 2016 – 2018. doi:10.1126/science.281.5385.2016
  27. Chan W. C., Maxwell D. J., Gao X., Bailey R. E., Han M., Nie S. (2002). Luminescent quantum dots for multiplexed biological detection and imaging. Curr. Opin. Biotechnol. 13, 40 – 46. doi:10.1016/s0958-1669(02)00282-3
  28. Chen G. H., Chen P. H., Lin C. T., Jang T. W., Yang P., Chen H. S. (2023). Enhanced photostability of core/shell quantum dots under intense blue light irradiation through positive photoaging mechanism. ACS Appl Mater Interfaces 15, 52795 – 52805.
  29. Chen L. L., Zhao L., Wang Z. G., Liu S. L., Pang D. W. (2022). Near‐infrared‐II quantum dots for in vivo imaging and cancer therapy. Small 18, 2104567. doi:10.1002/smll.202104567
  30. Chen Y., Chen T., Qin Z., Xie Z., Liang M., Li Y. (2023). Rapid synthesis of AgInS2 quantum dots by microwave assisted-hydrothermal method and its application in white light emitting diodes. J. Alloys Compd. 930, 167389. doi:10.1016/j.jallcom.2022.167389
  31. Chen Y.-C., Chen H.-H., Lin H.-H., Huang C.-C., Chen K.-F., Peng Y.-P. (2024). Hepatotoxicity evaluations of different surface charged carbon quantum dots in vivo and in vitro. Colloids Surf B Biointerfaces 234, 113760. doi:10.1016/j.colsurfb.2024.113760
  32. Chen P., He L.-G., Zhai H., Yan X., Luo K.-L., Yuan H.-Q. (2026a). Carbon dots in generation of reactive oxygen species for antibacterial therapy. Adv. Challenges 62, 6046 – 6065. doi:10.1039/d5cc07289a
  33. Chen Y., Gonçalves J. M., Villa K. (2026b). Photocatalytic Micro/Nanomotors functioning in the near‐infrared window for biomedical applications. Adv. Sci. (Weinh). 13, e22483. doi:10.1002/advs.202522483
  34. Chouhan L., Ito S., Thomas E. M., Takano Y., Ghimire S., Miyasaka H. (2021). Real-Time blinking suppression of perovskite quantum dots by halide vacancy filling. ACS Nano 15, 2831 – 2838. doi:10.1021/acsnano.0c08802
  35. Chukwuocha E. O., Onyeaju M. C., Harry T. S. T. (2012). Theoretical studies on the effect of confinement on quantum dots using the brus equation. World J. Conden. Matter Phys. 2, 96 – 100. doi:10.4236/wjcmp.2012.22017
  36. Chung C.-Y., Chen Y.-J., Kang C.-H., Lin H.-Y., Huang C.-C., Hsu P.-H. (2021). Toxic or not toxic, that is the carbon quantum dot’s question: a comprehensive evaluation with zebrafish embryo. Eleutheroembryo, Adult Models 13, 1598. doi:10.3390/polym13101598
  37. Cichy B., Rich R., Olejniczak A., Gryczynski Z., Strek W. (2016). Two blinking mechanisms in highly confined AgInS 2 and AgInS 2/ZnS quantum dots evaluated by single particle spectroscopy. Nanoscale 8, 4151 – 4159. doi:10.1039/c5nr07992f
  38. Clarke S., Pinaud F., Beutel O., You C., Piehler J., Dahan M. (2010). Covalent monofunctionalization of peptide-coated quantum dots for single-molecule assays. Nano Lett. 10, 2147 – 2154. doi:10.1021/nl100825n
  39. Cockins L., Miyahara Y., Bennett S. D., Clerk A. A., Studenikin S., Poole P. (2010). Energy levels of few-electron quantum dots imaged and characterized by atomic force microscopy. Proc. Natl. Acad. Sci. U. S. A. 107, 9496 – 9501. doi:10.1073/pnas.0912716107
  40. Coones R. T., Kestens V., Minelli C. (2025). A comparison of hydrodynamic diameter results from MADLS and DLS measurements for nanoparticle reference materials. J. Nanopart. Res. 27, 170. doi:10.1007/s11051-025-06284-4
  41. Cooper J. K., Franco A. M., Gul S., Corrado C., Zhang J. Z. (2011). Characterization of primary amine capped CdSe, ZnSe, and ZnS quantum dots by FT-IR: determination of surface bonding interaction and identification of selective desorption. Langmuir 27, 8486 – 8493. doi:10.1021/la201273x
  42. Dahan M., Levi S., Luccardini C., Rostaing P., Riveau B., Triller A. (2003). Diffusion dynamics of glycine receptors revealed by single-quantum dot tracking. Sci. (1979). 302, 442 – 445. doi:10.1126/science.1088525
  43. Damian‐Buda A. I., Boccaccini A. R. (2026). Shedding light on the cellular uptake mechanisms of bioactive glass nanoparticles as controlled intracellular delivery platforms: a review of the recent literature. Adv. Healthc. Mater. 15, e02754. doi:10.1002/adhm.202502754
  44. Deng Z., Cao L., Tang F., Zou B. (2005). A new route to zinc-blende CdSe nanocrystals: mechanism and synthesis. J. Phys. Chem. B 109, 16671 – 16675. doi:10.1021/jp052484x
  45. Dhandapani E., Duraisamy N., Raj R. M. (2022). Green synthesis of carbon quantum dots from food waste. Mater. Today Proc. 51, 1696 – 1700. doi:10.1016/j.matpr.2020.10.025
  46. Ding Y., Liu J., Zhu Y., Nie S., Shi J., Wang W. (2017). Free inert gas protection, low temperature, non-injection synthesis of CdS and doped quantum dots for efficient white light-emitting diodes. J. Mater. Chem. C Mater. 5, 3276 – 3282. doi:10.1039/c7tc00207f
  47. Dong C., Irudayaraj J. (2012). Hydrodynamic size-dependent cellular uptake of aqueous QDs probed by fluorescence correlation spectroscopy. J. Phys. Chem. B 116, 12125 – 12132. doi:10.1021/jp305563p
  48. Du B., Jiang X., Das A., Zhou Q., Yu M., Jin R. (2017). Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime. Nat. Nanotechnol. 12, 1096 – 1102. doi:10.1038/nnano.2017.170
  49. Du L., Hou Y.-N., Fu D.-D., Li J., Ao J., Ma A.-X. (2024). Revealing different pathways for influenza A virus to reach microtubules after endocytosis by quantum dot-based single-virus tracking. ACS Nano 18, 23090 – 23103. doi:10.1021/acsnano.4c05261
  50. Dua S., Kumar P., Pani B., Kaur A., Khanna M., Bhatt G. (2023). Stability of carbon quantum dots: a critical review. RSC Adv. 13, 13845 – 13861. doi:10.1039/d2ra07180k
  51. Đukić-Ćosić D., Baralić K., Javorac D., Djordjevic A. B., Bulat Z. (2020). An overview of molecular mechanisms in cadmium toxicity. Curr. Opin. Toxicol. 19, 56 – 62. doi:10.1016/j.cotox.2019.12.002
  52. Dumbgen K. C., Leemans J., De Roo V., Minjauw M., Detavernier C., Hens Z. (2023). Surface chemistry of InP quantum dots, amine–halide co-passivation, and binding of Z-type ligands. Chem. Mater. 35, 1037 – 1046. doi:10.1021/acs.chemmater.2c02960
  53. Ekimov A. I., Efros A. L., Onushchenko A. A. (1993). Quantum size effect in semiconductor microcrystals. Solid State Commun. 56, 921 – 924. doi:10.1016/s0038-1098(85)80025-9
  54. Fadlelmula M. M., Mazinani B., Subramanian V. (2024). Towards personalized microfluidics: 3D printing of high-performance micropumps by control and optimization of fabrication-induced surface roughness. Addit. Manuf. 94, 104468. doi:10.1016/j.addma.2024.104468
  55. Famutimi O. G., Masha S., Maluleke R., Ncapayi V., Lebepe T. C., Mgedle N. (2025). Assessment of antioxidant potential of carbon-based nanomaterials from different sources. Antioxidants (Basel). 14, 1227. doi:10.3390/antiox14101227
  56. Fan K., Xu P., Li Z., Shao M., Duan X. (2023). Layered double hydroxides: next promising materials for energy storage and conversion. Next Mater. 1, 100040. doi:10.1016/j.nxmate.2023.100040
  57. Feng T., Ai X., An G., Yang P., Zhao Y. (2016a). Charge-convertible carbon dots for imaging-guided drug delivery with enhanced in vivo cancer therapeutic efficiency. ACS Nano 10, 4410 – 4420. doi:10.1021/acsnano.6b00043
  58. Feng T., Ai X., An G., Yang P., Zhao Y. (2016b). Correction to charge-convertible carbon dots for imaging-guided drug delivery with enhanced in vivo cancer therapeutic efficiency. ACS Nano 10, 5587. doi:10.1021/acsnano.6b02794
  59. Feng D., Zhang G., Li Y. (2024). Semiconductor quantum dots: synthesis, properties and applications. Nanomater. (Basel). 14, 1825. doi:10.3390/nano14221825
  60. Fountaine T. J., Wincovitch S. M., Geho D. H., Garfield S. H., Pittaluga S. (2006). Multispectral imaging of clinically relevant cellular targets in tonsil and lymphoid tissue using semiconductor quantum dots. Mod. Pathol. 19, 1181 – 1191. doi:10.1038/modpathol.3800628
  61. Freitas D. V., Passos S. G., Dias J. M., Mansur A., Carvalho S. M., Mansur H. (2017). Toward greener electrochemical synthesis of composition-tunable luminescent CdX-based (X= Te, Se, S) quantum dots for bioimaging cancer cells. Sensors.Actuators B: Chem. 250, 233 – 243. doi:10.1016/j.snb.2017.04.185
  62. Fröhlich E. (2012). The role of surface charge in cellular uptake and cytotoxicity of medical nanoparticles. Int. J. Nanomedicine 7, 5577 – 5591. doi:10.2147/IJN.S36111
  63. Fu D.-D., Zhang L.-J., Tang B., Du L., Li J., Ao J. (2024). Quantitatively dissecting triple roles of dynactin in dynein-driven transport of influenza virus by quantum dot-based single-virus tracking. ACS Nano 18, 25893 – 25905. doi:10.1021/acsnano.4c10564
  64. Fu S., Zhu X., Huang F., Chen X. (2025). Anti-PEG antibodies and their biological impact on PEGylated drugs: challenges and strategies for optimization. Pharmaceutics 17, 1074. doi:10.3390/pharmaceutics17081074
  65. Gallagher M. J., Buchman J. T., Qiu T. A., Zhi B., Lyons T. Y., Landy K. M. (2018). Release, detection and toxicity of fragments generated during artificial accelerated weathering of CdSe/ZnS and CdSe quantum dot polymer composites. Environ. Sci. Nano 5, 1694 – 1710. doi:10.1039/c8en00249e
  66. Ge X.-L., Zhang Z.-L., Xie Z.-X., Cui R., Pang D.-W. (2017). Revealing the biodistribution and clearance of Ag 2 Se near-infrared quantum dots in mice. New J. Chem. 41, 12721 – 12725. doi:10.1039/c7nj02126g
  67. Georgeous J., AlSawaftah N., Abuwatfa W. H., Husseini G. A. (2024). Review of gold nanoparticles: synthesis, properties, shapes, cellular uptake, targeting, release mechanisms and applications in drug delivery and therapy. Pharmaceutics 16, 1332. doi:10.3390/pharmaceutics16101332
  68. Ghosh S., Mandal S., Mukherjee S., De C. K., Samanta T., Mandal M. (2021). Near-unity photoluminescence quantum yield and highly suppressed blinking in a toxic-metal-free quantum dot. J. Phys. Chem. Lett. 12, 1426 – 1431. doi:10.1021/acs.jpclett.0c03519
  69. Gnanasekaran L., Hemamalini R., Ravichandran K. (2015). Synthesis and characterization of TiO2 quantum dots for photocatalytic application. J. Saudi Chem. Soc. 19, 589 – 594. doi:10.1016/j.jscs.2015.05.002
  70. Grütter P., Bachir A. I., Durisic N., Wiseman P. W., Hebert B. (2006). Characterization of blinking dynamics in quantum dot ensembles using image correlation spectroscopy. J. Appl. Phys. 99, 064503. doi:10.1063/1.2175470
  71. Guha A., Ghosh D. (2022). “A toxicologic review of quantum dots: recent insights and future directions,” in Application of Quantum Dots in Biology and Medicine: Recent Advances. Cham, Switzerland: Springer, 67 – 90.
  72. Gui R., Jin H., Wang Z., Li J. (2018). Black phosphorus quantum dots: synthesis, properties, functionalized modification and applications. Chem. Soc. Rev. 47, 6795 – 6823. doi:10.1039/c8cs00387d
  73. Han Z., Sarkar S., Smith A. M. (2020). Zwitterion and oligo (ethylene glycol) synergy minimizes nonspecific binding of compact quantum dots. ACS Nano 14, 3227 – 3241. doi:10.1021/acsnano.9b08658
  74. Hardman R. (2005). A toxicologic review of quantum dots: toxicity depends on physicochemical and environmental factors. Environ. Health Perspect. 114, 165 – 172. doi:10.1289/ehp.8284
  75. Holder C. F., Schaak R. E. (2019). Tutorial on powder X-ray diffraction for characterizing nanoscale materials. ACS nano. 13, 7359 – 7365.
  76. Hong Z. Y., Lv C., Liu A. A., Liu S. L., Sun E. Z., Zhang Z. L. (2015). Clicking hydrazine and aldehyde: the way to labeling of viruses with quantum dots. ACS Nano 9, 11750 – 11760. doi:10.1021/acsnano.5b03256
  77. Hong Z. Y., Zhang Z. L., Tang B., Ao J., Wang C., Yu C. (2018). Equipping inner central components of influenza A virus with quantum dots. Anal. Chem. 90, 14020 – 14028. doi:10.1021/acs.analchem.8b03995
  78. Hosseinpour-Mashkani S. S., Sobhani-Nasab A. (2017). Investigation the effect of temperature and polymeric capping agents on the size and photocatalytic properties of NdVO 4 nanoparticles. J. Mater. Sci. Mater. Electron. 28, 16459 – 16466. doi:10.1007/s10854-017-7557-3
  79. Hu W.-Q., Fang M., Zhao H.-L., Yan S.-G., Yuan J.-P., Peng C.-W. (2014). Tumor invasion unit in gastric cancer revealed by QDs-based in situ molecular imaging and multispectral analysis. Biomaterials 35, 4125 – 4132. doi:10.1016/j.biomaterials.2014.01.059
  80. Hu M., Li X., You Z., Cai R., Chen C. (2024). Physiological barriers and strategies of lipid‐based nanoparticles for nucleic acid drug delivery. Adv. Mater. 36, 2303266. doi:10.1002/adma.202303266
  81. Huang B., De Smedt S. C., De Vos W. H., Braeckmans K. (2025). Light-triggered nanocarriers for nucleic acid delivery. Drug Deliv 32, 2502346.
  82. Huang G., Wang L., Zhang X. (2019). Involvement of ABC transporters in the efflux and toxicity of MPA‐COOH‐CdTe quantum dots. J. Biochem. Mol. Toxicol. 33, e22343. doi:10.1002/jbt.22343
  83. Huang S., Dai R., Zhang Z., Zhang H., Zhang M., Li Z. (2023). CRISPR/Cas-Based techniques for live-cell imaging and bioanalysis. Int. J. Mol. Sci. 24, 13447. doi:10.3390/ijms241713447
  84. Isaacs M. A., Davies-Jones J., Davies P. R., Guan S., Lee R., Morgan D. J. (2021). Advanced XPS characterization: XPS-based multi-technique analyses for comprehensive understanding of. Functional Materials 5, 7931 – 7963. doi:10.1039/d1qm00969a
  85. Ishaque P. I., Aslam A., Ali M. R., Khan M. A. Z., Shakeel A., Ghani S. F. (2025). Convergence at the nanoscale: transformative advances in drug delivery, vaccinology, and biomedical diagnostics. Sch. Acad. J. Pharm. 6, 128 – 162. doi:10.36347/sajp.2025.v14i06.004
  86. Islam S. N., Naqvi S. M. A., Gorain M., Roy G., Kundu G. C., Ahmad A. (2025). Sustainable synthesis of nitrogen-embedded Cu2S quantum dots for in vitro and. Vivo Breast Cancer Manag. 8, 410 – 419. doi:10.1021/acsabm.4c01378
  87. Jacques S. L. (2013). Optical properties of biological tissues. A Review 58, R37 – R61. doi:10.1088/0031-9155/58/11/R37
  88. Jednorski A. (2023). High Conjugation Efficiency Cdpbs Near-Infrared, Direct-Staining Molecular Probe Toward Intraoperative Breast Cancer Margin Assessment. Philadelphia, PA: Drexel University.
  89. Jiang P.-L., Hong Y.-Y., Yang L., Lin H.-J., Huang C.-C., Chen Y.-H. (2024). Comprehensive evaluation of the nephrotoxicity of carbon quantum dots: effects of the surface charge. Chemosphere 367, 143604. doi:10.1016/j.chemosphere.2024.143604
  90. Jin Y.-R., Liu Y., Jiang F.-L. (2021). Positive sorption behaviors in the ligand exchanges for water-soluble quantum dots and a strategy for specific targeting. ACS Appl. Mater. Interfaces 13, 51746 – 51758. doi:10.1021/acsami.1c15022
  91. Johansson K., Cowdery R. D., O'neil M., Rehm J. M., Mclendon G., Marchetti A. P. (1993). Comparative semiconductor photophysics of II‐VI (CdS) and I VII (AgBr) quantum dots. Isr. J. Chem. 33, 67 – 70. doi:10.1002/ijch.199300011
  92. Jomova K., Raptova R., Alomar S. Y., Alwasel S. H., Nepovimova E., Kuca K. (2023). Reactive oxygen species, toxicity, oxidative stress, and antioxidants: chronic diseases and aging. Arch. Toxicol. 97, 2499 – 2574. doi:10.1007/s00204-023-03562-9
  93. Joo K.-I., Lei Y., Lee C.-L., Lo J., Xie J., Hamm-Alvarez S. F. (2008). Site-specific labeling of enveloped viruses with quantum dots for single virus tracking. ACS Nano 2, 1553 – 1562. doi:10.1021/nn8002136
  94. Katendra N. K., Chandel S. C., Kumar D. K., Verma V. S. V., Mandle N. M. (2026). Quantum dots in materia medica: emerging tools for bioimaging and targeted drug delivery. Indian J. Pharmac. Chem. Anal. Tech. 2, 45 – 66. doi:10.64062/ijpcat.vol2.issue1.5
  95. Kayanuma Y. (1988). Quantum-size effects of interacting electrons and holes in semiconductor microcrystals with spherical shape. Phys. Rev. B Condens. Matter 38, 9797 – 9805. doi:10.1103/physrevb.38.9797
  96. Khosla A., Wani I. A., Lone M. N. (2025). Synthesis, and B. Applications, biomedical application of quantum dots. Metallic, Magnetic, Carbon-Based Nanomat. Synthesis Biom. App. 17, 236 – 269. doi:10.1002/9781119870685.ch4
  97. Kim J., Hwang D. W., Jung H. S., Kim K. W., Pham X.-H., Lee S.-H. (2022). High-quantum yield alloy-typed core/shell CdSeZnS/ZnS quantum dots for bio-applications. J. Nanobiotechnol. 20, 22. doi:10.1186/s12951-021-01227-2
  98. Knežević N. Ž., Ruiz-Hernández E., Hennink W. E., Vallet-Regí M. (2013). Magnetic mesoporous silica-based core/shell nanoparticles for biomedical applications. RSC Adv. 3, 9584 – 9593. doi:10.1039/c3ra23127e
  99. Krishnaswamy K., Pandian P. J. P. (2022). A novel carbon quantum dots and its applications in drug delivery system–a review. Pharmacophore 13, 62 – 71. doi:10.51847/xvyp9hw9fg
  100. Kumar R., Kulkarni A., Nagesha D. K., Sridhar S. (2012). In vitro evaluation of theranostic polymeric micelles for imaging and drug delivery in cancer. Theranostics 2, 714 – 722. doi:10.7150/thno.3927
  101. Kumar A., Patel D. D., Banerjee J., Sharma M., Bhatia D., Banerjee S. (2025). Next‐generation cancer theragnostic: applications of carbon quantum dots. ChemNanoMat 11, e202500061. doi:10.1002/cnma.202500061
  102. Kunachowicz D., Kłosowska K., Sobczak N., Kepinska M. (2024). Applicability of quantum dots in breast cancer diagnostic and therapeutic modalities—a state-of-the-art review. Nanomater. (Basel). 14, 1424. doi:10.3390/nano14171424
  103. Le N., Zhang M., Kim K. (2022). Quantum dots and their interaction with biological systems. Int. J. Mol. Sci. 23, 10763. doi:10.3390/ijms231810763
  104. Li J., Huang P. (2018). Effects of CdTe quantum dots on the content of cytochrome P450 in rat liver. Chinese J. Indust. Hygiene Occup. Diseases. 36, 174 – 178. doi:10.3760/cma.j.issn.1001-9391.2018.03.004
  105. Li S., Peng Z., Dallman J., Baker J., Othman A. M., Blackwelder P. L. (2016a). Crossing the blood-brain-barrier with transferrin conjugated carbon dots: a zebrafish model study. Colloids Surfaces. B, Biointerfaces 145, 251 – 256. doi:10.1016/j.colsurfb.2016.05.007
  106. Li S., Amat D., Peng Z., Vanni S., Raskin S., De Angulo G. (2016b). Transferrin conjugated nontoxic carbon dots for doxorubicin delivery to target pediatric brain tumor cells. Nanoscale 8, 16662 – 16669. doi:10.1039/c6nr05055g
  107. Li Q., Yin W., Li W., Zhang Z., Zhang X., Zhang X. E. (2018). Encapsulating quantum dots within HIV-1 virions through site-specific decoration of the matrix protein enables single virus tracking in live primary macrophages. Nano Lett. 18, 7457 – 7468. doi:10.1021/acs.nanolett.8b02800
  108. Li L., Chen Y., Xu G., Liu D., Yang Z., Chen T. (2020a). In vivo comparison of the biodistribution and toxicity of InP/ZnS quantum dots with different surface modifications. Int. J. Nanomedicine 15, 1951 – 1965. doi:10.2147/IJN.S241332
  109. Li Q., Li X., Zhao C. (2020b). Strategies to obtain encapsulation and controlled release of small hydrophilic molecules. Front. Bioeng. Biotechnol. 8, 437. doi:10.3389/fbioe.2020.00437
  110. Lim L. J., Zhao X., Tan Z. K. (2023). Non‐Toxic CuInS2/ZnS colloidal quantum dots for near‐infrared light‐emitting diodes. Adv. Mater. 35, 2301887. doi:10.1002/adma.202301887
  111. Lin X., Chen T. (2023). A review of in vivo toxicity of quantum dots in animal models. Int. J. Nanomedicine 18, 8143 – 8168. doi:10.2147/ijn.s434842
  112. Liu Q., Li H., Xia Q., Liu Y., Xiao K. (2015). Role of surface charge in determining the biological effects of CdSe/ZnS quantum dots. Int. J. Nanomedicine 10, 7073 – 7088. doi:10.2147/IJN.S94543
  113. Liu Q., Ding X., Pang Y., Cao Y., Lei J., Wu J. (2022). New insights into the safety assessment of quantum dots: potential release pathways, environmental transformations. Health Risks. 9, 3277 – 3311. doi:10.1039/d2en00252c
  114. Liu C., Li H. J., Duan W. X., Duan Y., Yu Q., Zhang T. (2023). MCU upregulation overactivates mitophagy by promoting VDAC1 dimerization and ubiquitination in the hepatotoxicity of cadmium. Adv. Sci. (Weinh). 10, 2203869. doi:10.1002/advs.202203869
  115. Liu Y.-Y., Sun Y.-Y., Guo Y., Chen L.-L., Guo J.-H., Wang H. (2025a). Charge affects the intracellular fate and clearance dynamics of CdSe/ZnS quantum dots in macrophages. Nanomater. (Basel). 15, 1189. doi:10.3390/nano15151189
  116. Liu M., Wang Y., Yang Y., Qian X., Luo X. (2025b). Organelle-Targeted photo-triggered delivery of Acetylperoxyl radicals for redox homeostasis modulation. Anal. Chem. 97, 5653 – 5660. doi:10.1021/acs.analchem.4c06435
  117. Lu M., Zhang W., Gai Y., Yang T., Ye P., Yang G. (2014). Folate–PEG functionalized silica CdTe quantum dots as fluorescent probes for cancer cell imaging. New J. Chem. 38, 4519 – 4526. doi:10.1039/c4nj00416g
  118. Lu X., Hou X., Tang H., Yi X., Wang J. (2022). A high-quality CdSe/CdS/ZnS quantum-dot-based FRET aptasensor for the simultaneous detection of two different alzheimer’s disease core. Biomarkers 12, 4031. doi:10.3390/nano12224031
  119. Ma A.-X., Yu C., Zhang M.-Y., Ao J., Liu H.-Y., Zhang M.-Q. (2024). One-Step dual-color labeling of viral envelope and intraviral genome with quantum dots harnessing. Virus Infect. 24, 2544 – 2552. doi:10.1021/acs.nanolett.3c04600
  120. Mandal G., Darragh M., Andrewá Wang Y., Heyes C. D. (2013). Cadmium-free quantum dots as time-gated bioimaging probes in highly-autofluorescent human breast cancer cells. Chem Commun (Camb) 49, 624 – 626.
  121. Manikandan A., Chen Y.-Z., Shen C.-C., Sher C.-W., Kuo H.-C., Chueh Y.-L. (2019). A critical review on two-dimensional quantum dots (2D QDs): from synthesis toward applications in energy and optoelectronics. Prog. Quantum Electron. 68, 100226. doi:10.1016/j.pquantelec.2019.100226
  122. Marsh M., Helenius A. (2006). Virus entry: open sesame. Cell 124, 729 – 740. doi:10.1016/j.cell.2006.02.007
  123. Mattoussi H., Palui G., Na H. B. (2012). Luminescent quantum dots as platforms for probing in vitro and in vivo biological processes. Adv. Drug Deliv. Rev. 64, 138 – 166. doi:10.1016/j.addr.2011.09.011
  124. Merkoçi A., Marcolino-Junior L. H., Marín S., Fatibello-Filho O., Alegret S. (2007). Detection of cadmium sulphide nanoparticles by using screen-printed electrodes and ahandheld device. Nanotechnology 18, 035502. doi:10.1088/0957-4484/18/3/035502
  125. Mi C., Wang Y., Zhang J., Huang H., Xu L., Wang S. (2011). Biosynthesis and characterization of CdS quantum dots in genetically engineered Escherichia coli. J. Biotechnol. 153, 125 – 132. doi:10.1016/j.jbiotec.2011.03.014
  126. Mishra L., Kumari L., Sharma Y., Chahar K., Khare S., Patel P. (2025). “ PEGylated nanocarriers for gene therapy,” in Pegylated Nanocarriers in Medicine and Pharmacy. Cham, Switzerland: Springer, 239 – 273.
  127. Mohammadpour Z. M., Molaabasi E. M. (2023). Application of quantum dots to in vitro and vivo pH detection 22, 175 – 196.
  128. Monopoli M. P., Berg C., Salvati A., Dawson K. A. (2020). Biomolecular Coronas Provide the Biological Identity of Nanosized Materials. New York, NY: Jenny Stanford Publishing. 205 – 229.
  129. Morris-Cohen A. J., Vasilenko V., Amin V. A., Reuter M. G., Weiss E. A. (2012). Model for adsorption of ligands to colloidal quantum dots with concentration-dependent surface structure. ACS Nano 6, 557 – 565. doi:10.1021/nn203950s
  130. Murray C., Norris D. J., Bawendi M. G. (1993). Synthesis and characterization of nearly monodisperse CdE (E= sulfur, selenium, tellurium) semiconductor nanocrystallites. J. Am. Chem. Soc. 115, 8706 – 8715. doi:10.1021/ja00072a025
  131. Nabil M., Megahed F. (2024). Quantum dot nanomaterials: preparation, characterization, advanced bio-imaging and therapeutic applications. J. Fluoresc. 34, 2467 – 2484. doi:10.1007/s10895-023-03472-0
  132. Nie C., Lin X., Zhao G., Wu K. (2022). Low‐Toxicity ZnSe/ZnS quantum dots as potent photoreductants and triplet sensitizers for organic transformations. Angew. Chem. Int. Ed. Engl. 134, e202213065. doi:10.1002/ange.202213065
  133. Nithyaja B., Vishnu K., Mathew S., Radhakrishnan P., Nampoori V. P. (2012). Studies on CdS nanoparticles prepared in DNA and bovine serum albumin based biotemplates. J. Appl. Phys. 112, 064704. doi:10.1063/1.4752750
  134. Niveria K., Singh P., Yadav M., Verma A. K. (2023). Quantum dot (QD)-induced toxicity and biocompatibility, handbook of II-VI semiconductor-based sensors and radiation detectors. Cham, Switzerland: Springer International Publishing 1, 181 – 211.
  135. Noorizadeh H. J. C., Letters P. (2025). A review on the role of quantum dots in targeted drug delivery: advances, functionalization, and applications in nanomedicine. Chem. Pharm. Lett. 1, 53 – 86. doi:10.22034/cpl.2025.545829.1005
  136. Oglah M. H., Hasan A. A., Mahmood W. I. (2025). Quantum confinement Bohr radius effects of quantum dots using Brus mathematical model. AIP Conf. Proc. 3162, 020007. doi:10.1063/5.0241782
  137. Ortega-Liebana M. C., Sanchez-Martin R. M. (2025). Nanomedicine basics. Washington, DC: American Chemical Society.
  138. Panja A., Patra P. (2023). A review on Quantum Dots (QDs) and their biomedical applications. 6, 1. doi:10.1051/fopen/2022020
  139. Pareek A., Kumar D., Pareek A., Gupta M. M. (2025). Advancing cancer therapy with quantum dots and other nanostructures: a review of drug delivery innovations. Applications, Challenges 17, 878. doi:10.3390/cancers17050878
  140. Park E., Ryu J., Choi Y., Hwang K.-J., Song R. (2013). Photochemical properties and shape evolution of CdSe QDs in a non-injection reaction. Nanotechnology 24, 145601. doi:10.1088/0957-4484/24/14/145601
  141. Paydary P. (2018). Degradation of Quantum Dots in Aqueous Environments. Boston, MA: Northeastern University.
  142. Peng Z. A., Peng X. (2001). Formation of high-quality CdTe, CdSe, and CdS nanocrystals using CdO as precursor. J. Am. Chem. Soc. 123, 183 – 184. doi:10.1021/ja003633m
  143. Peng C.-W., Liu X.-L., Chen C., Liu X., Yang X.-Q., Pang D.-W. (2011). Patterns of cancer invasion revealed by QDs-based quantitative multiplexed imaging of tumor microenvironment. Biomaterials 32, 2907 – 2917. doi:10.1016/j.biomaterials.2010.12.053
  144. Peng J., Gao W., Gupta B. K., Liu Z., Romero-Aburto R., Ge L. (2012). Graphene quantum dots derived from carbon fibers. Nano Lett. 12, 844 – 849. doi:10.1021/nl2038979
  145. Peng Z., Miyanji E. H., Zhou Y., Pardo J., Hettiarachchi S. D., Li S. (2017). Carbon dots: promising biomaterials for bone-specific imaging and drug delivery. Nanoscale 9, 17533 – 17543. doi:10.1039/c7nr05731h
  146. Peng Y., Yang Z., Sun H., Li J., Lan X., Liu S. (2024). Nanomaterials in medicine: understanding cellular uptake, localization, and retention for enhanced disease diagnosis and therapy. Aging Dis. 16, 168. doi:10.14336/ad.2024.0206-1
  147. Pham X.-H., Park S.-M., Ham K.-M., Kyeong S., Son B. S., Kim J. (2021). Synthesis and application of silica-coated quantum dots in biomedicine. Int. J. Mol. Sci. 22, 10116. doi:10.3390/ijms221810116
  148. Phillips D. J., Gibson M. I. J. A., Signaling R. (2014). Redox-sensitive materials for drug delivery: targeting the correct intracellular environment, tuning release rates, and appropriate predictive systems. Antioxid. Redox Signal. 21, 786 – 803. doi:10.1089/ars.2013.5728
  149. Pillarisetti S., Maya S., Sathianarayanan S., Jayakumar R. J. C., Biointerfaces S. B. (2017). Tunable pH and redox-responsive drug release from curcumin conjugated γ-polyglutamic acid nanoparticles in cancer microenvironment. Colloids Surf. B Biointerfaces 159, 809 – 819. doi:10.1016/j.colsurfb.2017.08.057
  150. Pourmadadi M., Tajiki A., Abdouss M., Mohammadi A. B., Kharaba Z., Rahdar A. (2024). Novel carbon quantum dots incorporated polyacrylic acid/polyethylene glycol pH-sensitive nanoplatform for drug delivery. Inorg. Chem. Commun. 159, 111814. doi:10.1016/j.inoche.2023.111814
  151. Pu Y., Cai F., Wang D., Wang J.-X., Chen J.-F. (2018). Colloidal synthesis of semiconductor quantum dots toward large-scale production. A Review 57, 1790 – 1802. doi:10.1021/acs.iecr.7b04836
  152. Qi J., Zhang P., Zhang T., Zhang R., Zhang Q., Wang J. (2024). Metal-doped carbon dots for biomedical applications: from design to implementation. Heliyon 10, e32133. doi:10.1016/j.heliyon.2024.e32133
  153. Qiu C., Xia F., Zhang J., Shi Q., Meng Y., Wang C. (2023). Advanced strategies for overcomingendosomal/lysosomal barrier in nanodrug delivery. Res. 6, 0148. doi:10.34133/research.0148
  154. Rafieerad A., Yan W., Sequiera G. L., Sareen N., Abu‐El‐Rub E., Moudgil M. (2019). Application of Ti3C2 MXene quantum dots for immunomodulation and regenerative medicine. Adv. Healthc. Mater. 8, 1900569. doi:10.1002/adhm.201900569
  155. Raja D., Sundaramurthy D. (2021). Facile synthesis of fluorescent carbon quantum dots from Betel leafs (Piper betle) for Fe3+ sensing. Mater. Today Proc. 34, 488 – 492. doi:10.1016/j.matpr.2020.03.096
  156. Rath S., Sarangi S., Sahu S. N. (2008). XPS studies of DNA–cation-interacted self-assembled HgTe quantum dots formed underelectrodeposition and their resultant biomolecular recognition application. Nanotechnology 19, 115606. doi:10.1088/0957-4484/19/11/115606
  157. Reena V., Bhagyasree G., Shilpa T., Aswati Nair R., Misha H., Nithyaja B. (2024). Photocatalytic, antibacterial, cytotoxic and bioimaging applications of fluorescent CdS nanoparticles prepared. DNA Biotemplate 34, 437 – 448. doi:10.1007/s10895-023-03292-2
  158. Ribeiro R. T., Dias J. M., Pereira G. A., Freitas D. V., Monteiro M., Cabral Filho P. E. (2013). Electrochemical synthetic route for preparation of CdTe quantum-dots stabilized by positively or negatively charged ligands. Green Chem. 15, 1061 – 1066. doi:10.1039/c3gc36990k
  159. Roberts R. L., Fine R. E., Sandra A. (1993). Receptor-mediated endocytosis of transferrin at the blood-brain barrier. J. Cell Science 104 (Pt 2), 521 – 532. doi:10.1242/jcs.104.2.521
  160. Saad M. A., Sakr M. A., Teleb N. H., Sami A. S., Abd-Elkader O. H., Wang Z. (2026). Functionalized silicene quantum dots as high-performance nanocarriers for anticancer. Drug Deliv. 214, 208649. doi:10.1016/j.micrna.2026.208649
  161. Sabarees G. Optimizing design and exploring the dual potential of carbon quantum dots in environmental sensing and biomedical theranostics. Nano Biomed. Eng. 18, 100021. doi:10.1016/j.nbe.2025.100021
  162. Saikia M., Hazarika A., Roy K., Khare P., Dihingia A., Konwar R. (2023). Waste-derived high-yield biocompatible fluorescent carbon quantum dots for biological and nanofertiliser applications. J. Environ. Chem. Eng. 11, 111344. doi:10.1016/j.jece.2023.111344
  163. Saulite L., Dapkute D., Pleiko K., Popena I., Steponkiene S., Rotomskis R. (2017). Nano-engineered skin mesenchymal stem cells: potential vehicles for tumour-targeted quantum-dot delivery. Beilstein J. Nanotechnol. 8, 1218 – 1230. doi:10.3762/bjnano.8.123
  164. Shi J., Sun W., Utzat H., Farahvash A., Gao F. Y., Zhang Z. (2021). All-optical fluorescence blinking control in quantum dots with ultrafast mid-infrared pulses. Nat. Nanotechnol. 16, 1355 – 1361. doi:10.1038/s41565-021-01016-w
  165. Singh H., Balusamy S. R., Sukweenadhi J., Shrivastav A., Mohanprasanth A., Saravanan M. (2026). Engineering combination nanomedicines to overcome cancer resistance. RSC Adv. 16, 5128 – 5167. doi:10.1039/d5ra08728g
  166. Sobhanan J., Rival J. V., Anas A., Shibu E. S., Takano Y., Biju V. (2023). Luminescent quantum dots: synthesis, optical properties, bioimaging and toxicity. Adv. Drug Deliv. Rev. 197. 114830. doi:10.1016/j.addr.2023.114830
  167. Stan M. S., Memet I., Sima C., Popescu T., Teodorescu V. S., Hermenean A. (2014). Si/SiO2 quantum dots cause cytotoxicity in lung cells through redox homeostasis imbalance. Chem. Biol. Interact. 220, 102 – 115. doi:10.1016/j.cbi.2014.06.020
  168. Steinegger K. M., Jiang M., Link F., Winkeljann B., Merkel O. M. (2026). Proton sponge or membrane fusion? endosomal escape of sirna polyplexes illuminated by molecular dynamics simulations. BioRxiv. doi:10.64898/2026.03.13.711661
  169. Su Y., Peng F., Jiang Z., Zhong Y., Lu Y., Jiang X. (2011). In vivo distribution, pharmacokinetics, and toxicity of aqueous synthesized cadmium-containing quantum dots. Biomaterials 32, 5855 – 5862. doi:10.1016/j.biomaterials.2011.04.063
  170. Sukhanova A., Ramos-Gomes F., Chames P., Sokolov P., Baty D., Alves F. (2021). Multiphoton deep-tissue imaging of micrometastases and disseminated cancer cells using conjugates of quantum dots and single-domain antibodies. New York, NY: Springer 2350, 105 – 123. doi:10.1007/978-1-0716-1593-5_8
  171. Sun J., Qu H., Ali W., Chen Y., Wang T., Ma Y. (2023). Co-exposure to cadmium and microplastics promotes liver fibrosis through the hemichannels-ATP-P2X7 pathway. Chemosphere 344, 140372. doi:10.1016/j.chemosphere.2023.140372
  172. Sweeney E., Ward T. H., Gray N., Womack C., Jayson G., Hughes A. (2008). Quantitative multiplexed quantum dot immunohistochemistry. Biochem. Biophys. Res. Commun. 374, 181 – 186. doi:10.1016/j.bbrc.2008.06.127
  173. Thomas E. M., Ghimire S., Kohara R., Anil A. N., Yuyama K.-i., Takano Y. (2018). Blinking suppression in highly excited CdSe/ZnS quantum dots by electron transfer under large positive Gibbs (free). Energy Change 12, 9060 – 9069. doi:10.1021/acsnano.8b03010
  174. Thuma J., Chung Y. C., Tu L. C. (2023). Advances and challenges in CRISPR-based real-time imaging of dynamic genome organization. Front. Mol. Biosci. 10, 1173545. doi:10.3389/fmolb.2023.1173545
  175. Torchynska T., Diaz Cano A., Dybiec M., Ostapenko S., Morales Rodrigez M., Jiménez‐Sandoval S. (2007). Scattering and SEM study of bio‐conjugated core‐shell CdSe/ZnS quantum dots. Phys. Status Solidi 4, 241 – 243. doi:10.1002/pssc.200673249
  176. Valappil M. O., Anil A., Shaijumon M., Pillai V. K., Alwarappan S. (2017). A single‐step electrochemical synthesis of luminescent WS2 quantum dots. Chem. East. 23, 9144 – 9148. doi:10.1002/chem.201701277
  177. Van Sark W., Frederix P. T. M., Van den Heuvel D., Bol A., Van Lingen J., de Mello Donega C. (2002). Time-resolved fluorescence spectroscopy study on the photophysical behavior of quantum dots. J. Fluoresc. 12, 69 – 76. doi:10.1023/a:1015315304336
  178. Verma M., Chan Y.-H., Saha S., Liu M.-H. (2020). Recent developments in semiconducting polymer dots for analytical detection and NIR-II fluorescence imaging. ACS Appl. Bio Mater. 4, 2142 – 2159. doi:10.1021/acsabm.0c01185
  179. Virieux H., Le Troedec M., Cros-Gagneux A., Ojo W.-S., Delpech F., Nayral C. (2012). InP/ZnS nanocrystals: coupling NMR and XPS for fine surface and interface description. J. Am. Chem. Soc. 134, 19701 – 19708. doi:10.1021/ja307124m
  180. Wang Y., Tang M. (2018). Review of in vitro toxicological research of quantum dot and potentially involved mechanisms. Sci. Total Environ. 625, 940 – 962. doi:10.1016/j.scitotenv.2017.12.334
  181. Wang Z.-G., Liu S.-L., Pang D.-W. (2021). Quantum dots: a promising fluorescent label for probing virus trafficking. Acc. Chem. Res. 54, 2991 – 3002. doi:10.1021/acs.accounts.1c00276
  182. Wang X., Li H., Chen C., Liang Z. (2025a). Understanding of endo/lysosomal escape of nanomaterials in biomedical application. Smart Mol. 3, e20240017. doi:10.1002/smo.20240017
  183. Wang Y., Shi L., Zou C., Liu Z., Wang J. (2025b). Structural modification strategies for ferritin nanoparticles and their applications in biomedicine: a narrative review. Nanoscale 17, 17428 – 17442. doi:10.1039/d5nr01369k
  184. Wang Z., Gao S., Xu S., Sun L., Liu Y., Zhang J. (2026a). Photostability of CdSe quantum dots under visible light irradiation: effects of surface ligands. Solvents, BHT Antioxid. 50, 6544 – 6553. doi:10.1039/d6nj00713a
  185. Wang Q., Guo Z., Chen Z., Wang C., Yang Y., Shi Q. (2026b). pH-Responsive Materials for Therapy and Precision Biomedical Imaging. Chem. Biomed. Imaging. doi:10.1021/cbmi.5c00279
  186. Weiss E. A. (2013). Organic molecules as tools to control the growth, surface structure, and redox activity of colloidal quantum dots. Acc. Chem. Res. 46, 2607 – 2615. doi:10.1021/ar400078u
  187. Wen L., Lin Y., Zheng Z. H., Zhang Z. L., Zhang L. J., Wang L. Y. (2014). Labeling the nucleocapsid of enveloped baculovirus with quantum dots for single-virus tracking. Biomaterials 35, 2295 – 2301. doi:10.1016/j.biomaterials.2013.11.069
  188. Wiley D. T., Webster P., Gale A., Davis M. E. (2013). Transcytosis and brain uptake of transferrin-containing nanoparticles by tuning avidity to transferrin receptor. Proc. Natl. Acad. Sci. U. S. A. 110, 8662 – 8667. doi:10.1073/pnas.1307152110
  189. Winiarska-Mieczan A., Kwiecień M. (2016). The effect of exposure to Cd and Pb in the form of a drinking water or feed on the accumulation and distribution of these metals in the organs of growing Wistar rats. Biol. Trace Elem. Res. 169, 230 – 236. doi:10.1007/s12011-015-0414-4
  190. Wu J.-K., Tian Z.-Q., Zhang Z.-L., Liu A.-A., Tang B., Zhang L.-J. (2016). Purification of quantum dot-based bioprobes via high-performance size exclusion chromatography. Talanta 159, 64 – 73. doi:10.1016/j.talanta.2016.05.078
  191. Xiao K., Li Y., Luo J., Lee J. S., Xiao W., Gonik A. M. (2011). The effect of surface charge on in vivo biodistribution of PEG-oligocholic acid based micellar nanoparticles. Biomaterials 32, 3435 – 3446. doi:10.1016/j.biomaterials.2011.01.021
  192. Xie M., Tao C.-L., Zhang Z., Liu H., Wan S., Nie Y. (2022). Nonblinking colloidal quantum dots via efficient multiexciton emission. J. Phys. Chem. Lett. 13, 2371 – 2378. doi:10.1021/acs.jpclett.2c00378
  193. Xing X., Yang Y., Zou T., Wang Z., Wang Z., Zhao R. (2019). Thioglycolic acid-capped ZnSe quantum dots as nanoprobe for cobalt (II) and iron (III) via measurement of grey level, UV-vis spectra dynamic light scattering. Mikrochim Acta 186, 444. doi:10.1007/s00604-019-3561-z
  194. Yang Y. B., Tang Y. D., Hu Y., Yu F., Xiong J. Y., Sun M. X. (2020a). Single virus tracking with quantum dots packaged into enveloped viruses using CRISPR. Nano Lett. 20, 1417 – 1427. doi:10.1021/acs.nanolett.9b05103
  195. Yang Y. B., Tang Y. D., Hu Y., Yu F., Xiong J. Y., Sun M. X. (2020b). Correction to single virus tracking with quantum dots packaged into enveloped viruses using CRISPR. Nano Lett. 20, 2931. doi:10.1021/acs.nanolett.0c00854
  196. Yang C., Zhang G., Li J., Chen R., Qin C., Hu J. (2025). Mechanisms and suppression of quantum dot blinking. Laser Phot. Rev. 19, 2402269. doi:10.1002/lpor.202402269
  197. Yezhelyev M. V., Qi L., O'Regan R. M., Nie S., Gao X. (2008). Proton-sponge coated quantum dots for siRNA delivery and intracellular imaging. J. Am. Chem. Soc. 130, 9006 – 9012. doi:10.1021/ja800086u
  198. Yin W., Liu X., Zhang X., Gao X., Colvin V. L., Zhang Y. (2020). Synthesis of tungsten disulfide and molybdenum disulfide quantum dots and their applications. Chem. Mater. 32, 4409 – 4424. doi:10.1021/acs.chemmater.0c01441
  199. Younis M. R., He G., Lin J., Huang P. (2020). Recent advances on graphene quantum dots for bioimaging applications. Front. Chem. 8, 424. doi:10.3389/fchem.2020.00424
  200. Yu W. W., Peng X. (2002). Formation of high‐quality CdS and other II–VI semiconductor nanocrystals in noncoordinating solvents: tunable reactivity of monomers. Angew. Chem. Int. Ed. Engl. 41, 2368 – 2371. doi:10.1002/1521-3773(20020703)41:13<2368::AID-ANIE2368>3.0.CO;2-G
  201. Yuan Y., Zhang Z., Hou W., Qin W., Meng Z., Wu C. (2020). In vivo dynamic cell tracking with long-wavelength excitable and near-infrared fluorescent polymer dots. Biomaterials 254, 120139. doi:10.1016/j.biomaterials.2020.120139
  202. Zhang L. W., Bäumer W., Monteiro-Riviere N. A. (2011). Cellular uptake mechanisms and toxicity of quantum dots in dendritic cells. Nanomedicine (Lond) 6, 777 – 791. doi:10.2217/nnm.11.73
  203. Zhang W., Zhang H., Feng Y., Zhong X. (2012). Scalable single-step noninjection synthesis of high-quality core/shell quantum dots with emission tunable from violet to near infrared. ACS Nano 6, 11066 – 11073. doi:10.1021/nn304765k
  204. Zhang J., Wang J., Yan T., Peng Y., Xu D., Deng D. (2017). InP/ZnSe/ZnS quantum dots with strong dual emissions: visible excitonic emission and near-infrared surface defect emission and their application in in vitro and in vivo bioimaging. J. Mater. Chem. B 5, 8152 – 8160. doi:10.1039/c7tb02324c
  205. Zhang M., Yue J., Cui R., Ma Z., Wan H., Wang F. (2018). Bright quantum dots emitting at∼ 1,600 nm in the NIR-IIb window for deep tissue fluorescence imaging. Proc. Natl. Acad. Sci. U. S. A. 115, 6590 – 6595. doi:10.1073/pnas.1806153115
  206. Zhang L. J., Wang S., Xia L., Lv C., Tang H. W., Liang Z. (2020). Lipid-Specific labeling of enveloped viruses with quantum dots for single-virus tracking. mBio 11, 10 – 1128. doi:10.1128/mBio.00135-20
  207. Zhang Y., Liang R., Chen Y., Wang Y., Li X., Wang S. (2023). Safety, HSF1 protects cells from cadmium toxicity by governing proteome integrity. Ecotoxicol. Environ. Saf. 266, 115571. doi:10.1016/j.ecoenv.2023.115571
  208. Zhang J., Zhang S., Zhang Y., Al‐Hartomy O. A. (2023). Colloidal quantum dots: synthesis, composition, structure, and emerging optoelectronic applications. Laser Phot. Rev. 17, 2200551, doi:10.1002/lpor.202200551
  209. Zhang J., Huang Y., Shen W., Zeng Y., Miao Y., Feng N. (2025). Effects of surface charge of inhaled liposomes on drug efficacy and biocompatibility. Pharmaceutics 17, 329. doi:10.3390/pharmaceutics17030329
  210. Zhao Y., Ye X., Xiong Z., Ihsan A., Ares I., Martínez M. (2023). Cancer metabolism: the role of ROS in DNA damage and induction of apoptosis in cancer cells. Metabolites 13, 796. doi:10.3390/metabo13070796
  211. Zhao Z., Otsuka A., Nakamura N., Tatsumi T., Nakatsui K., Tsuzukiishi T. (2025). 64Cu-chelated InP/ZnSe/ZnS QDs as PET/fluorescence dual-modal probe for tumor imaging. Sci. Technol. Adv. Mater. 26, 2463317. doi:10.1080/14686996.2025.2463317
  212. Zhao Y., Liu C., Zhang X., Gu T., Wang Y., Zuo T. (2026). Mechanistic and strategic insights into how lipid nanoparticles interact with membrane-based biological barriers. ACS Nano 20, 8971 – 9006. doi:10.1021/acsnano.5c21857
  213. Zheng N., Yan J., Qian W., Song C., Zuo Z., He C. (2021). Comparison of developmental toxicity of different surface modified CdSe/ZnS QDs in zebrafish embryos. J. Environ. Sci. 100, 240 – 249. doi:10.1016/j.jes.2020.07.019

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Wang, J., et al. (2026). Quantum dots for biomedical innovation: overview, applications, and biosafety. Frontiers in Nanotechnology, Volume 8. https://doi.org/
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Copyright © 2026 Wang, Qi and Xu.

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*Correspondence: JuCai Wang

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