Original Research
Frontiers in Environmental Chemistry ·
Volume 7 - 2026 | https://doi.org/10.3389/fenvc.2026.1912040
Mineral-dependent and calcium-inhibited adsorption of radium-226 onto quartz and kaolinite in a natural sand substrate
- C. L. Proulx1,2*corresponding author
- C. Cadieux3
- D. R. Knaack3
- D. Fortin1
- R. R. Goulet1,3
- 1Department of Earth and Environmental Sciences, University of Ottawa, Ottawa, ON, Canada
- 2Kilgour & Associates Ltd., Ottawa, ON, Canada
- 3Canmet-MINING, Natural Resources Canada, Ottawa, ON, Canada
Abstract
Radium-226 (226Ra) is mobilized following the disturbance of ore bodies containing uranium-238. The availability of radium-226 to aquatic organisms is governed by its aqueous speciation and sorption to mineral substrates. This study evaluated the influence of mineral phases, calcium (Ca) concentration, and organic matter content on the partitioning of 226 Ra over 48 h. Tests were conducted across three nominal 226 Ra activity concentrations (1, 5, and 50 Bq L -1) and four Ca levels (0.9, 7, 35, and 70 mg L -1) representative of freshwater systems both affected and unaffected by metal-mining effluent. Under solution-only conditions, dissolved 226 Ra remained stable, indicating that Ca concentration alone did not influence 226 Ra solubility. The addition of natural sand resulted in rapid removal of dissolved 226 Ra from solution, reaching up to 86% after 48 h depending on 226 Ra and Ca concentrations. Overall, removal decreased significantly with increasing Ca concentration, suggesting that Ca 2+ reduced 226 Ra 2+ adsorption, consistent with competition between 226 Ra 2+ and Ca 2+ for sorption sites. The presence of organic matter in the form of algal cells produced a small but consistent additional removal of 226 Ra (∼6%), indicating that interactions between 226 Ra and organic matter were limited relative to mineral processes. Mineral-specific experiments demonstrated that 226 Ra sorption was strongly mineral-dependent, with extensive sorption onto kaolinite (96% ± 2% within 6h; K d = 49–62 L kg -1) and minimal sorption onto quartz (10% ± 9% at 48h, K d = 0–0.55 L kg -1). These findings demonstrate that 226 Ra partitioning in sandy aquatic environments is governed primarily by the presence of reactive clay minerals rather than quartz or organic matter, and by aqueous Ca concentration. Under the controlled laboratory conditions of this study, these findings provide insight into the factors governing 226 Ra mobility and bioavailability in sandy sediments where clay content and water chemistry strongly influence the fate of 226 Ra.
Keywords
1 Introduction
Radium-226 (226Ra) is a decay product of the uranium-238 (238U) series and is a radionuclide of environmental concern due to its long half-life (1,600 years), high specific activity (3.7 × 1010 Bq g-1), and potential for accumulation in aquatic food chains because of its chemical similarity to Ca2+, an essential element for aquatic organisms (Jeffree, 1988; Jeffree and Simpson, 1986; 1984).
Mining activities can mobilize 226Ra by exposing excavated rock containing 238U or through milling of ore, which produces tailings containing U-series radionuclides. The leaching of 226Ra from mine tailings therefore represents an important pathway for the release of 226Ra to aquatic environments (Chellam and Clifford, 2002; Martin et al., 2003). Radium-226 may also be discharged in treated mining effluents not only from uranium mining and milling operations but from any mining activities involving ore bodies containing 238U (Proulx et al., 2025). Activity concentrations in mining effluent can reach up to 6,940 mBq L-1 or 188 pg L-1 (Proulx et al., 2025).
In natural surface waters, 226Ra occurs primarily as a divalent cation (226Ra2+) at background activity concentrations ranging between 0.5 and 20 mBq L-1 (Fesenko et al., 2014; Proulx et al., 2025). Its aqueous speciation influences mobility, solubility, and potential availability to aquatic organisms. While 226Ra2+ may form aqueous complexes with ligands such as nitrate, chloride, and iodate under appropriate chemical conditions (Ames et al., 1983), its behaviour in freshwater is also strongly influence by co-precipitation with sulfate and carbonate minerals, particularly barite (BaSO4(s)) owing to the close similarity in ionic radius and charge between 226Ra2+ and Ba2+(Langmuir and Riese, 1985; Zhang et al., 2014).
In addition to aqueous speciation and mineral precipitation, sorption is a dominant process controlling the environmental fate of dissolved 226Ra (Langmuir and Riese, 1985). Sorption refers to the interaction of an element with the surface of a solid, including suspended particles and bottom sediments (Beneš et al., 1984; Beneš and Strejc, 1986; Landa and Reid, 1983), and encompasses both surface adsorption and absorption into porous solids, while desorption refers to the reverse process (Riese, 1982). Radium-226 adsorption over a range of physical and chemical parameters is relatively well studied for common rock-forming minerals including quartz (Beneš et al., 1984), muscovite and albite (Beneš and Strejc, 1986) and clay minerals such as kaolinite, montmorillonite, bentonite and smectite (Beneš et al., 1985; Reinoso-Maset and Ly, 2016; Robin et al., 2017; Tachi et al., 2001). Laboratory experiments have demonstrated that 226Ra adsorption to quartz and kaolinite is very rapid, with the majority of the Ra2+ being adsorbed within 10 min (Beneš et al., 1984). Adsorption affinity differs substantially among mineral groups and is strongly influenced by mineral composition and cation-exchange capacity (CEC), with clay minerals generally exhibiting a greater affinity for 226Ra than quartz and other silicates (Ames et al., 1983; Beneš and Strejc, 1986; Robin et al., 2017). Because of its large ionic radius, the interaction of 226Ra with mineral surfaces is expected to be increasingly electrostatic or ionic relative to lighter alkaline earth metals (Langmuir and Riese, 1985). This conceptual understanding provides the mechanistic basis for representing 226Ra partitioning between aqueous and solid phases using cation-exchange and surface complexation models (Riese, 1982).
Beyond quartz and aluminosilicate minerals, Fe-(hydr)oxide phases including both poorly crystalline (amorphous) and crystalline minerals are also important sorbents for dissolved 226Ra (Chellam and Clifford, 2002; Nirdosh et al., 1990; Thiry and Van Hees, 2008). Laboratory experiments have demonstrated that 226Ra adsorption to Fe-(hydr)oxide is rapid, with most Ra2+ removed from solution within 10 min (Beneš et al., 1984). Iron (hydr)oxides commonly occur in freshwater environments as surface coatings on mineral particles and can play an important role in controlling 226Ra mobility even at low concentrations through electrostatic outer-sphere complexation with surface hydroxyl groups (Beneš et al., 1984; Chautard et al., 2020). Experimental studies of 226Ra sorption to Fe (hydr)oxides have focused primarily on minerals such as goethite and ferrihydrite (Ames et al., 1983; Sajih et al., 2014), as well as Fe-(hydr)oxide (Beneš et al., 1984). Consistent with these findings, Liu and Hendry (2011) reported that 226Ra associated with precipitates formed during neutralization of uranium mill raffinate was dominated by sorption to amorphous and crystalline Fe-(hydr)oxide phases.
The extent of 226Ra sorption depends not only on mineralogy but also on surrounding water chemistry. Radium-226 adsorption to quartz, kaolinite, Fe- and Mn-(hyr)oxides increases with increasing pH (Nirdosh et al., 1990; Robin et al., 2017; Thiry and Van Hees, 2008) and with decreasing liquid-to-solid ratio (Beneš et al., 1984). The presence of other cations (e.g., Ca2+, Ba2+, Mn2+) can also influence Ra2+ adsorption through competitive ion exchange (Brown et al., 2019; Robin et al., 2017). However, the immobilisation of 226Ra through, for example, sorption onto Fe- and Mn-(hydr)oxides and its co-precipitation with BaSO4 is potentially reversible under changing geochemical conditions. Beneš et al. (1984) demonstrated that 226Ra adsorbed onto quartz via ion exchange in the electrical double layer can desorb as pH decreases. Similarly, adsorption of 226Ra is reversible from ferrihydrite and goethite (Sajih et al., 2014), and 226Ra can be quantitatively desorbed from kaolinite (Beneš et al., 1985) and quartz (Beneš et al., 1984), although desorption is more limited from minerals such as montmorillonite (Beneš et al., 1985) and certain hydrated metal oxides (Nirdosh et al., 1990).
Although numerous laboratory studies have quantified 226Ra sorption to individual mineral phases, comparatively few have examined the combined influence of mineralogy, Ca concentration, and organic matter under condition representative of freshwater toxicity testing or sandy aquatic sediments. Consequently, the relative important of quartz, clay minerals, competing Ca, and organic matter in controlling dissolved 226Ra remains poorly constrained. Proulx (2026) reported a 90% reduction in 226Ra activity concentrations during laboratory exposure experiments with freshwater fingernail clams, Sphaerium striatinum, with test solutions renewed every 48 h, indicating that this loss occurred within that interval. In these experiments, clams burrowed within a sand substrate and were fed algal cells, suggesting that the observed reduction in dissolved 226Ra may have results from sorption of 226Ra2+ onto either mineral phases present in the sand substrate or onto organic matter. Because the experiments were conducted in reconstituted soft water containing calcium, competitive interactions between Ca2+ and 226Ra2+ may also have influence adsorption processes. To investigate this hypothesis, the mineralogical composition of the sand substrate was first characterized to identify phases most likely to act as sorbents for 226Ra. This characterization guided the selection of quartz and kaolinite as representative mineral phases for further adsorption experiments.
The objectives of this study were to identify the mechanisms contributing to the loss of dissolved 226Ra observed during the fingernail clam exposure experiments. Specifically, the objectives were to: (1) evaluate the extent to which the sand substrate alone can remove dissolved 226Ra from solution in the absence of fingernail clams; (2) assess the influence of organic matter, represented by algal cells, on the removal of dissolved 226Ra from solution; (3) determine the effect of varying Ca2+ concentrations on 226Ra adsorption under conditions where competitive ion-exchange is expected to occur; and (4) compare the relative affinity of 226Ra for key mineral components of the substrate through batch sorption experiments using quartz and kaolinite. Understanding and predicting the mobility of trace radionuclides such as 226Ra is important for assessing the potential environmental impacts of uranium mine tailings and effluent on surrounding aquatic systems, as well as for broader applications such as water resource protection.
2 Materials and methods
2.1 Experimental solutions
Base stock solutions were prepared with reconstructed soft water (RSW) following the methodology of Clesceri (1998). The Ca content of the RSW solution (i.e., 7 mg L-1) was modified by removing or adding calcium sulfate dihydrate to obtain three other base stock solutions with low (0.7 mg L-1), moderate (35 mg L-1) and high (70 mg L-1) Ca concentrations (Supplementary Table S1). The target calcium concentrations were selected based on levels observed downstream of uranium mines and mills (Goulet et al., 2015). To confirm target Ca concentrations in the base stock solutions, along with concentrations of other major ions, a single water sample was collected. Samples were filtered using a 0.45 µm mesh syringe filters (Acrodisc HT Tuffryn Membrane, PALL New York) and sterile 20 mL luer-lock tip polyethylene-polypropylene syringe (Fisher Scientific), collected into pre-labelled polypropylene centrifuge tubes (15mL, Fisherbrand™), and preserved by acidifying them to 1% HNO3 (trace metal grade). Dissolved Ca, Fe, Mg, Mn, K, and Na were analyzed at the CanmetMINING Analytical Laboratory (Ottawa, ON, Canada) using inductively coupled plasma optical emission spectrometry (ICP-OES, Synchronous Vertical Dual View, Agilent Technologies). Concentration of chloride (Cl) and sulfate anions was measured using ion chromatography (ICS, Dionex Inuvion IC System, ThermoFisher). Dissolved organic carbon (DOC) and inorganic carbon (DIC) content were measured using a total organic carbon analyzer (TOC-L, Shimadzu). Quality assurance/quality control by the CanmetMINING Analytical Laboratory included the collection of duplicates, spikes, and blanks. The Ca content of the stock solutions was confirmed to be 0.9 mg L-1 (low Ca), 35 mg L-1 (moderate Ca) and 70 mg L-1 (high Ca).
The stock solutions were dosed with 226Ra to achieve nominal concentrations of 1, 5 and 50 Bq L-1. Calibrated pipettes (Sartorious micropipetter) were used to dose the stock solutions with the appropriate aliquot from a 5 mL stock solution of radium chloride (RaCl2) with an activity of 8 kBq (Stuart Hunt and Associates Ltd., Edmonton, AB, Canada). Water samples were collected from the stock solutions to confirm nominal concentrations of dissolved 226Ra. Samples were filtered using a 0.45 µm mesh syringe filters (Acrodisc HT Tuffryn Membrane, PALL New York) and sterile 20 mL luer-lock tip polyethylene-polypropylene syringe (Fisher Scientific), collected into pre-labelled polypropylene centrifuge tubes (15mL, Fisherbrand™), and preserved by acidifying them to 1% HNO3 (trace metal grade). Sample masses were recorded using an electronic balance (AUW120, Shimadzu Corporation, Kyoto, Japan) with an accuracy of ±0.006 g to allow 226Ra activity to be expressed on a mass-normalized basis (Bq g-1). Sample vials were sealed with parafilm and refrigerated until shipment to the Canadian Nuclear Laboratories (CNL, Chalk River, ON, Canada) for analysis of 226Ra by alpha spectrometry (detection limit = 0.0005 Bq L-1) using the method outlined in Guérin et al. (2023). Activity concentrations were reported by CNL in millibecquerel per Gram of sample (mBq g-1) and reported herein in becquerels per litre of water (Bq L-1). The minimum detectable activity (MDA) ranged from 0.0002 to 0.0005 Bq, which was several orders of magnitude below measured concentrations.
2.2 Inorganic substrates
The inorganic substrate chosen for the adsorption experiments consisted of fine aquarium sand (CaribSea Inc. Super Naturals Premium Aquarium Substrate, color: Marine Sand/Moonlight Sand). This sand substrate was used previously in 226Ra toxicity experiments involving fingernail clams (Proulx, 2026). The sand substrate was characterized to determine its mineralogical composition and to identify potential adsorption sites for 226Ra. The approximate mineralogical composition and grain textures of an untreated sand sample were examined using back-scattered electron (BSE) imaging and energy-dispersive X-ray (EDX) spectroscopy on a TESCAN Mira3 field-emission gun scanning electron microscope (FEG-SEM) at the Geological Survey of Canada (Ottawa, Ontario). The data were collected using a 10 kV (BSE images) or 20 kV (EDX spectra) accelerating voltage. The substrates chosen for the batch sorption experiments consisted of natural kaolinite (Al2O3 2SiO2 2H2O, Sigma-Aldrich, Product Number 03584) and trace metal grade white quartz (≥99.995% SiO2, Sigma-Aldrich, Product Number 204358). The particle size distribution of the substrates was estimated from optical microscope images by calculating the equivalent circular diameter (ECD) of algorithmically segmented particles from three areas of each subsample dispersed on a high-contrast background.
2.3 Geochemical modelling
2.3.1 Radium-226 speciation
Aqueous speciation was modelled for each stock solution using available thermodynamic data for dissolved 226Ra species (Table 1). Speciation of 226Ra was performed using the PHREEQC Interactive software (version 3.7.3) with the WATEQ4F thermodynamic database (Ball and Nordstrom, 1991). PHREEQC is a widely used geochemical modelling program for calculating aqueous speciation, reaction-path, and transport (Parkhurst and Appelo, 1999). While PHREEQC was used to evaluate inorganic aqueous speciation, the Windemere Humic Acid Model (WHAM version 7.0, Tipping (1994)) was additionally applied to assess potential complexation of 226Ra with dissolved organic matter (i.e., humic and fulvic acids ratio of 3:1). Stability constants provided in Table 1 were integrated into WHAM’s default thermodynamic database. Because stability constants for 26Ra complexes with fulvic and humic substances are not available in the WHAM database, stability constants for barium (Ba2+) were used as a proxy. Stability constants were assumed as log K of 1.3 and 0.97 for humic and fulvic acids, respectively (Tipping, 1994). This substitution is commonly applied because Ba2+ and 226Ra2+ are both alkaline earth metals exhibiting similar chemical behaviour, occurring predominantly as divalent cations in aqueous systems, having comparable ionic radii (Ba2+ 142 p.m.; Ra2+ 148 p.m.), and similar electronegativities (Brown et al., 2022).
TABLE 1. Thermodynamic data used in speciation modelling.
| Reaction | Stability constant (log K) | References |
|---|---|---|
| Ra2+ + OH− = RaOH+ | 0.57 ± 0.23 | (Brown et al., 2022) |
| Ra2+ + SO4 2-= RaSO4 | 2.61 ± 0.33 | (Brown et al., 2022) |
| Ra2+ + CO3 2- = RaCO3 | 2.53 ± 0.14 | (Brown et al., 2022) |
| Ra2+ + HCO3 = RaHCO3 + | 2.89 | (Beneš et al., 1982) |
| Ra2+ + Cl− = RaCl+ | −0.32 ± 0.23 | (Brown et al., 2022) |
2.3.2 Cation exchange and surface complexation models
Interactions between 226Ra and the mineral phases were modelled using both: (1) a cation exchange model for kaolinite and (2) a surface complexation model (SCM) for quartz, to account for different mechanisms by which 26Ra may partition to mineral surfaces. Cation exchange modelling was applied to kaolinite using the EXCHANGE formalism in PHREEQC, which represents reversible electrostatic exchange of aqueous cations with negatively charged surface sites. This approach is appropriate for clay minerals such as kaolinite due to their permanent structural charge arising from isomorphic substitution within the crystal lattice, which gives rise to measurable CEC (Kumm and Gier, 2024). Exchange reactions were modelled under equilibrium conditions, allowing 226Ra2+ and competing cations (i.e., Ca, Mg, Na, and K) to partition between solution and exchange sites. Because an exchange selectivity constant for 226Ra is not widely available in standard thermodynamic databases, including WATEQ4F, the exchange reaction for 226Ra2+ was assigned the same equilibrium constant as Ba2+.
B a 2 + + 2 X − = B a X 2 , log K = 0.91
R a 2 + + 2 X − = R a X 2 , log K = 0.91
The total number of exchange sites (mol) was calculated from the reported CEC and the experimental solid mass according to Equation 1:where CEC is expressed in meq 100 g-1 and m *solid* is the mass of solid (g). The factor of 100 converts the CEC to the mass of solid used, and division by 1,000 converts milliequivalents to moles of charge.
n e x c h a n g e = C E C * m s o l i d 100 * 1 1000 (1)
Surface complexation modelling was also performed in PHREEQC using the SURFACE formalism to represent sorption of 226Ra to pH-dependent mineral surface functional groups. Surface complexation models describe sorption as the formation of chemical complexes between aqueous species and reactive surface groups, which are governed by acid–base and metal-binding equilibria (Dzombak and Morel, 1990; Stumm and Morgan, 1996). Surface protonation and deprotonation reactions are represented as: where ≡ S denotes a generic surface functional group involved in reactions between aqueous species and mineral surface (e.g., Kitamura et al., 1999; Nair et al., 2014; Rakshit et al., 2015; Szymanek et al., 2021). For quartz, these groups correspond primarily to silanol (≡ Si-OH), while for kaolinite they include aluminol (≡ Al-OH) and silanol sites (Angove et al., 1997). Surface complexation was simulated using a diffuse double layer (DDL) SCM. The approach was selected to maintain consistency with the literature-derived surface complexation constants, which were developed using the same DDL electrostatic formulation. Surface complexation constants were defined following literature parameterizations (Supplementary Table S2, Supplementary Material). Because surface complexation constants for 226Ra are not widely available in thermodynamic databases, constants for other alkaline earth metals (e.g., Ca2+, Sr2+, Ba2+) were used as proxies, reflecting their similar geochemical behaviour. This approach is consistent with the use of alkaline earth analogues to represent Ra2+ in geochemical modelling due to similarities in ionic radius, charge, and aqueous speciation (Serra-Ventura et al., 2025).
≡ S O H + H + = ≡ S O H 2 +
≡ S O H = ≡ S O − + H +
For the quartz substrate, specific surface area (SSA, m2 g-1) was estimated from measured ECDs, assuming spherical particles following standard geometric relationships between particle size and surface area (Stumm and Morgan, 1996), per Equation 2:where ρ is particle density (kg m-3), obtained from the literature (Rühlmann et al., 2006), and d is particle diameter (m) derived from ECDs. This calculation assumes smooth, non-porous spherical particles and therefore represents an estimate of external surface area only. The number of surface sites was then calculated using Equation 3:where D are surface site densities, assigned based on literature values for mineral surface functional groups, and N *A* is Avogadro’s number.
S S A = 6 ρ d (2)
n s i t e s = S S A * D * 10 18 N A (3)
For both exchange and surface complexation simulations, mineral phases were first equilibrated with the experimental solution composition in the absence of 226Ra to establish initial exchange or surface site occupancy. Radium-226 was then introduced at the experimental concentration of 50 Bq L-1, and equilibrium partitioning between solution and solid phases was calculated. This sequential approach ensured mass-balanced simulation of 226Ra uptake.
2.4 Adsorption experiments
Adsorption test methods, modified from Nautilus Environmental (2021), aimed to quantify effects imparted by Ca concentrations, the sand substrate, and the addition of organic matter on measured dissolved 226Ra activity concentrations over 48 h. Four experiments were conducted, one for each of the Ca concentrations (0.9, 7, 35, 70 mg L-1), each with the three 226Ra activities (1, 5 and 50 Bq L-1), for a total of 12 treatment groups (i.e., 226Ra x Ca combinations). The design used a tiered approach (see Supplementary Figure S1) to assess the influence of the various components; solution only, solution + sand, and solution + sand + organic matter. Each series had 3 replicates, for a total of 108 test vessels across the 4 experiments. Experimental conditions, including the 48-h test duration, sand-to-water ratio, substrate, organic matter amendment, and test vessel configuration, were selected to replicate those used in the previous 226Ra toxicity experiments with fingernail clams (Proulx, 2026), thereby allowing the mechanisms responsible for the observed loss of dissolved 226Ra to be investigate under comparable exposure conditions. Sand substrates (described above) were rinsed three times with ultrapure water (18 MΩ cm) prior to the tests. The organic matter consisted of an algae mixture of 1 mL Instant Algae Shellfish Diet 1800 and 100 μL instant Algae Nano Diet 3,600 in 9 mL RSW, modified from (Salerno et al., 2018). Test vessels consisted of 800 mL plastic Nalgene beakers each containing 300 mL of solution. When added as a component, beakers also contained 150 g of sand and 300 μL of organic matter. Beakers were wrapped in black plastic to minimize light penetration and were loosely covered with parafilm to reduce evaporation.
In situ water quality parameters (water temperature (°C), dissolved oxygen (DO, %), pH, and specific conductivity (µS cm-1)) were monitored daily using Hach meters (Hach HQ40 d pH/D.O., and HQ14 d conductivity) for a subsample (∼20 mL) which was collected from a randomly selected beaker, for each 226Ra x Ca treatment. Water subsamples were also collected from the water column of 1 of the 3 replicates, chosen at random, from each of the 12 treatments at hours 1, 3, 6, 9, 12, 24, and 48. Dissolved 226Ra activity concentrations were measured, following the same procedures as described above (see Section 2.1). Measurements of 226Ra in stock solution represented concentrations at time 0 h.
Given that dissolved 226Ra concentrations are expected to decline over the 48 h period, exposure concentrations were summarized using a time-weighted average (TWA). The TWA accounts for the variation in instantaneous concentration over time and provides a more representative estimate of exposure than nominal or single-time-point measurements when concentrations change during the test period (Belgers et al., 2011). The TWA was calculated using the trapezoidal integration method, which assumes a linear change in concentration between successive sampling times. For each experimental treatment, the area under the concentration-time curve was calculated and divided by the total elapsed time per Equation 4:where C *i* and C *i+1* are the measured dissolved 226Ra concentrations at sampling times t *i* and t *i+1* respectively, and t *n* -t *0* represents the total exposure duration of 48 h (Belgers et al., 2011). This approach integrates concentration over time and normalizes by the exposure period, yielding an average concentration that reflects temporal changes in dissolved 226Ra. Time-weighted averages (TWA) were calculated separately for each combination of experimental replicate, treatment concentration, and experimental condition.
T W A = ∑ i = 0 n − 1 C i + C i + 1 / 2 t i + 1 − t i t n − t 0 (4)
2.5 Batch sorption experiment
Batch sorption experiments were conducted to determine whether quartz and kaolinite provide binding sites for 226Ra. A substrates-to-solution ratio of 47 g per 94 mL in 250 mL plastic Nalgene beakers was selected to match the proportions used in the adsorption experiments and the proportions in the previously conducted toxicity tests using S. striatinum (Proulx, 2026). This ratio was intended to reproduce the laboratory exposure conditions rather than to simulate a field-equivalent sediment-to-water ratio in natural environments. Although mixing is commonly used in sorption experiments to ensure transport of ions to adsorption sites is not rate-limiting, the water column was intentionally left unmixed in the present study to replicate the undisturbed conditions used in the adsorption and toxicity experiments. Batch sorption experiments were conducted in triplicates for each of three initial 226Ra activity concentrations (1, 5 and 50 Bq L-1 prepared in standard RSW). Subsamples were carefully collected from the water column of each replicate using a sterile 20 mL luer-lock tip polyethylene-polypropylene syringe (Fisher Scientific) to measure dissolved 226Ra (as described above) after 6, 12, 24 and 48 h.
2.6 Adsorption parameters and kinetic model
The fraction of solute adsorbed (fsorbed), or percent of dissolved 226Ra removed from solution, was calculated using Equation 5 (Nair et al., 2014; Raghav and Kumar, 2018):were C *0* is the initial concentration at t = 0 and C *t* is the measured concentration at time t. The activity concentration associated with the solid phase at equilibrium (C *s*), which is equivalent to the equilibrium sorbed concentration (q *e*) used in adsorption isotherm analyses, was calculated by mass balance according to Equation 6 (e.g., Abin-Bazaine et al., 2022):where C *e* is the equilibrium concentration at t = 48, V is the solution volume (L), and m is the dry mass of sorbent (kg). The partitioning of 226Ra between the aqueous phase and solid surfaces was quantified, under test conditions, by calculating distribution coefficients (K *d*). The distribution coefficient for a radionuclide is defined as the ratio of the activity concentration associated with the solid phase at equilibrium (Cs, Bq·kg-1 dry mass) to the dissolved equilibrium activity concentration in solution (C *e*, Bq·L-1), as shown in Equation 7 (e.g., Goulet et al., 2022).
f s o r b e d = C 0 − C t C 0 (5)
C s = C 0 − C e * V m (6)
K d = C s C e (7)
Higher K *d* value indicates greater partitioning to the solid phase, whereas lower K *d* values indicate weaker adsorption and greater mobility in the aqueous phase. Distribution coefficients were calculated using 226Ra concentrations measured at the end of the adsorption experiments (48 h), corresponding to equilibrium, or near-equilibrium, conditions.
Finally, time-dependent changes in dissolved 226Ra concentrations (Equation 8) were described using first-order kinetic models in which concentration-time data were fit using an exponential approach to equilibrium model of the form per Equation 5 (e.g., Kajjumba et al., 2019; Liu and Shen, 2008):were k is the first-order rate constant. Rate constants (k) and associated standard errors (SE) were obtained by nonlinear least-squares regression. Large k values indicate faster removal of 226Ra from the water column, and faster equilibrium.
C t = C e + C 0 − C e e − k t (8)
2.7 Statistical analyses
The response variable used to assess the influence of sand and organic matter on 226Ra adsorption was the fraction 226Ra adsorbed, calculated for all sampling time points in both the adsorption experiments and the batch sorption experiments. To evaluate whether the loss of 226Ra from solution differed between Series A and B (i.e., the influence of sand) or between Series B and C (i.e., the influence of organic matter) in the absorption experiments, percent removal was compared using paired Wilcoxon signed-rank tests across matched experimental conditions (226Ra concentration, Ca concentration, and time). Agreement between series were further examined using Bland–Altman analysis, which assesses agreement between paired measurements (Bland and Atlman, 1986), with bias calculated as the mean paired difference and limits of agreement defined as bias ±1.96 standard deviations (SD).
The response variables used to assess the influence of Ca concentration on 226Ra adsorption were the sorbed activity (C *s*), distribution coefficients (K *d*), and first-order rate constant (k). Rate constants (k) were derived from first-order kinetic model fits, whereas sorbed activity (C *s*) and distribution coefficients (K *d*) were calculated from measured aqueous concentrations at 48 h. Statistical analyses of C *s*, K *d*, and k were conducted using data from treatments containing a solid phase only. Response variables were analysed using linear models including Ca concentration and nominal 226Ra activity as fixed factors. Given the observed non-linear response of these parameters to Ca, Ca was modelled using a second-order polynomial term. Interaction terms between Ca and 226Ra activity were included to assess whether the effect of Ca varied with 226Ra activity. Model significance was evaluated using analysis of variance (ANOVA).
The response variable used to assess the influence of the different mineral substrates (i.e., kaolinite and quartz) on 226Ra adsorption was the percent 226Ra removed from solution, calculated for all sampling time points in the batch sorption experiments. Differences in percent removal between mineral substrates were evaluated using a two-way ANOVA with substrate and time as fixed factors. Estimated marginal means were used to quantify differences between substrates and to evaluate contrasts at each sampling time. Finally, to assess whether sorption had stabilized by the end of the batch sorption experiments, paired sorbed 226Ra activity measured at 24 and 48 h was compared separately for quartz and kaolinite using Wilcoxon signed-rank tests. All statistical analyses were performed using the R software environment and associated base packages (R 4.6.1, R Core Team, 2026). For all statistical analyses, the level of statistical significance (alpha) was set at 0.05.
3 Results
3.1 Stock solution chemistry
Measured 226Ra activity concentrations for the stock solutions are outlined in Table 2. Measured dissolved 226Ra activities ranged from 0.68 to 1.16 Bq L-1 (mean ± SD = 0.93 ± 0.2), 3.8–5.8 Bq L-1 (4.8 ± 0.7), and 40–50 Bq L-1 (46 ± 4.3) for the nominal 1, 5 and 50 Bq L-1 treatments, respectively. Measured activities in the moderate Ca treatment were consistently lower than the nominal targets and the corresponding activities in the other Ca treatments. Analytical uncertainties were generally within ± 4%–15% depending on activity level. Major ion concentrations for stock solutions are outlined in Supplementary Table S3 (Supplementary Material). Measured Ca was 0.9 mg L-1, 7.1 mg L-1, 35.6 mg L-1, and 72.3 mg L-1in the low, RSW, moderate and high Ca treatments, respectively. Other water chemistry parameters were consistent among treatments, with mean ± SD of measured dissolved water chemistry variables across all 12 stock solutions (one sample per stock solution) was as follows: Cl 2.0 ± 0 mg L-1, Fe 0.15 ± 0.1 mg L-1,, K 1.3 ± 0.1 mg L-1, Mg 6.4 ± 0.1 mg L-1, Na 18 ± 0.1 mg L-1, Mn 0.03 ± 0.005 mg L-1, SO4 34 ± 0.1 mg L-1, DOC 19 mg L-1 (RSW only) and DIC 8.6 ± 1.6 mg L-1.
TABLE 2. Measured activity of 226Ra in stock solutions with varying Ca concentrations.
| Nominal (Bq L-1) | Measured activity (Bq L-1) ± Measurement uncertainty | |||
|---|---|---|---|---|
| low Ca (0.9 mg L-1) | RSW (7 mg L-1) | moderate Ca (35 mg L-1) | high Ca (70 mg L-1) | |
| 1 | 1.08 ± 0.05 | 0.79 ± 0.04 | 0.68 ± 0.04 | 1.16 ± 0.06 |
| 5 | 5.4 ± 0.2 | 4.8 ± 0.7 | 3.8 ± 0.2 | 5.1 ± 0.2 |
| 50 | 46 ± 2 | 50 ± 3 | 40 ± 2 | 48 ± 2 |
3.2 Radium-226 speciation
PHREEQC modelling indicated that 226Ra speciation was consistent across the range of tested 226Ra x Ca concentrations (Figure 1), with approximately 70% of total dissolved 226Ra occurring as free 226Ra2+ and the remaining fraction occurring as RaHCO3 + (∼20%), RaSO4 (∼6%) Move RaCl+ with other species in the next sentence and no need for less than 1%. Complexes with carbonate (RaCO3) or hydroxide (RaOH+) were not predicted under the experimental conditions. The relative distribution among aqueous species remained unchanged across the range of nominal 226Ra activities (1–50 Bq L-1) and calcium concentrations (0.9–70 mg L-1), indicating that variations in experimental conditions did not alter aqueous 226Ra speciation (Figure 1). WHAM modelling indicated negligible (<0.001%) interaction between 226Ra and fulvic or humic acids under the experimental water chemistry conditions.

3.3 Sand characterization
The sand substrate was well sorted, with a mean grain size of 219 μm, and the dominant mineral was confirmed to be quartz (SiO2). Textural features (i.e., microfracture and pitting, Figure 2) were typically filled with a clay mineral. The EDX analysis of the clay-rich zones confirmed the presence of aluminosilicate with a high aluminum (Al) and low potassium (K) and magnesium (Mg) contents, consistent with kaolinite (Al2Si2O5(OH)4). Other minor impurities were also visible (e.g., ilmenite, zircon, and monazite). There was no visual or geochemical evidence of significant Fe or Mn (hydr)oxides (Supplementary Table S4, Supplementary Material). The geochemical results confirmed the presence of Fe (0.034%) in the sand; however, it appeared to be associated with ilmenite (FeTiO3; Ti 0.037%), large grains of which were identified by EDX, and not Fe coatings. The Mn concentration (<0.010%) was low compared to the Al concentration (0.124%) and may be associated with other minor unidentified clays in the microfractures.

3.4 Geochemical models
The mineral properties used in the exchange and surface complexation models, including measured particle sizes, literature-derived parameters (e.g., CEC, particle density, site density), and calculated values (e.g., specific surface area and total site concentrations), are provided in Section S1 of the Supplementary Material. Both the kaolinite and quartz substrates exhibited relatively uniform particle sizes, with mean ECDs of 14 ± 7 µm (n = 300) for kaolinite and 188 ± 40 µm (n = 146) for quartz.
Exchange modelling predicted strong partitioning of 226Ra to kaolinite, with approximately 95% of the added 226Ra associated with exchange sites and only 5% remaining in solution under the simulated conditions. Although 226Ra exhibited a strong affinity for kaolinite relative to its initial concentration, exchange-site occupancy remained dominated by Ca2+ and Mg2+ because of their substantially greater abundance.
The SCM using the DDL approach predicted substantially weaker sorption of 226Ra to quartz. Approximately 27% of the added 226Ra was associated with the quartz surface, while approximately 72% remained in solution. Quartz surface speciation was likewise dominated by Ca-bearing surface complexes and unoccupied surface sites, with 226Ra occupying only a trace fraction of the available surface sites.
3.5 Tiered adsorption experiments
3.5.1 Supporting water quality
During the adsorption experiments, water quality conditions remained stable across treatments (Supplementary Table S6, Supplementary Material). Temperature was between 21 °C and 22 °C, dissolved oxygen remained high (91%–96% saturation), and pH was circumneutral in all treatments (generally 7.0–7.3), with a slight decrease observed in the low-calcium treatment (6.8–7.2). Specific conductivity reflected the intended calcium gradient, increasing from the low Ca and RSW treatments (∼128–182 μS cm-1), to the moderate Ca (∼309–337 μS cm-1) and high Ca (∼486–523 μS cm-1) treatments, with only minor fluctuations within each treatment.
3.5.2 Stability of dissolved 226Ra
Stability of 226Ra in the solution-only treatments remained stable over the 48-h exposure period across all 226Ra and Ca combinations (Figure 3). Measured activity concentrations showed no decline, indicating negligible loss of 226Ra from solution in the absence of solid substrates or organic matter. Across the three nominal 226Ra treatments (1, 5, 50 Bq L-1), observed concentrations ranged from 0.75 to 0.86 Bq L-1, 4.1–4.8 Bq L-1, and 40–50 Bq L-1in RSW (Ca = 7 mg L-1). Similar results were observed for the calcium modified treatments, with variability within each treatment generally ≤10%, which was within analytical uncertainty (±4%–15%). The TWA activity concentrations for solution only treatments were estimated to range from 0.8 to 1.2, 3.7–5.5, and 33–52 Bq L-1 for the 1, 5, and 50 Bq L-1 nominal treatments, respectively (Figure 4). These values reflect the biologically relevant exposure, by integrating temporal changes in 226Ra over the 48 h.


3.5.3 Effect of mineral substrate on 226Ra activity concentrations
In the low Ca (0.9 mg L-1) and RSW (7 mg L-1) treatments the addition of natural sand resulted in rapid removal of dissolved 226Ra from solution, with 46% and 25% of dissolved 226Ra removed within the first hour, increasing to 49% and 43% by 9 h, respectively. Thereafter, removal increased more gradually toward apparent equilibrium. By 48 h, total 226Ra removal reached 83% in the low Ca (0.9 mg L-1) treatment and 75% in the RSW (7 mg L-1) treatment. A comparable pattern was observed under moderate and high Ca concentrations (Figure 3). In the moderate Ca treatment (35 mg L-1), 29% of dissolved 226Ra was removed within the first hour, increasing to 61% by 48 h. In the high Ca treatment (70 mg L-1), 9% of dissolved 226Ra was removed within the first hour, increasing to 58% by 48 h. The TWA activity concentrations for the sand only treatment were estimated to range from 0.4 to 0.7, 1.3–2.8, and 13–41 Bq L-1 for the 1, 5, and 50 Bq L-1 nominal treatments, respectively (Figure 4).
The addition of sand resulted in a rapid and significant reduction in dissolved 226Ra concentrations relative to solution-only controls (Wilcoxon signed-rank test, p < 0.001; Figure 3). Relative to solution-only controls, the addition of sand increased 226Ra removal from solution by a median of 38.4% across matched experimental conditions. This effect was significant overall and within all 226Ra and Ca treatments tested, with median paired differences ranging from 20.7% to 46.2% 226Ra concentrations and from 25.1% to 49.1% among Ca concentrations.
3.5.4 Effect of organic matter on 226Ra activity concentrations
The addition of organic matter (solution + sand + organic matter) resulted in a small but consistent additional reduction in dissolved 226Ra concentrations relative to sand-only treatment (Wilcoxon signed-rank test, p < 0.001; Figure 3). Across all matched experimental conditions, median removal increased from 40% in Series B to 46% in Series C at 9 h and from 60% to 70% by 48 h. Similar patterns were observed across calcium treatments. In the low Ca (0.9 mg L-1) treatment, 39% of dissolved 226Ra was removed within the first hour when exposed to sand and organic matter compared with 46% when exposed to sand only, increasing to 80% and 83% by 48 h, respectively. In the RSW (7 mg L-1) treatment, 31% of dissolved 226Ra was removed within the first hour when exposed to sand and organic mater compared with 25% when exposed to sand only, increasing to 74% and 75% by 48 h. In the moderate Ca treatment (35 mg L-1), removal increased from 29% when exposed to sand only to 50% when exposed to sand and organic matter by 48 h. Similarly, in the high Ca treatment (70 mg L-1), removal increased from 58% when exposed to sand only to 60% when exposed to sand and organic matter by 48 h. Overall, the presence of organic matter increased 226Ra removal by a median of approximately 6% across matched experimental conditions. The TWA activity concentrations when exposed to sand and organic matter were estimated to range from 0.4 to 0.7, 1.3–2.5, and 14–26 Bq L-1 for the 1, 5, and 50 Bq L-1 nominal treatments, respectively (Figure 4).
3.5.5 Effect of calcium on 226Ra activity concentrations
The mass of 226Ra sorbed to the solid phase at equilibrium (C *s*) was estimated when exposed to sand only and when exposed to sand and organic matter by mass balance using aqueous concentrations measured at 48 h (Table 3). Estimated C *s* values ranged from 0.73 to 85 Bq kg-1 when exposed to sand only and from 0.55 to 84 Bq kg-1 when exposed to sand and organic matter, depending on 226Ra activity and Ca concentration (Table 3). The quadratic model indicated that C *s* was strongly dependent on nominal 226 Ra (F 1,20 = 75.7, p < 0.001), whereas Ca concentration (p = 0.68), and the Ca x 226Ra interaction (p = 0.59) were not significant. At the lowest nominal 226Ra concentration, sorbed activity generally decreased with increasing Ca concentration; however, at higher nominal 226Ra concentrations the response was non-monotonic. Although C *s* varied among Ca treatments, no consistent directional trend with increasing Ca concentration was evident.
TABLE 3. Estimated sorption parameters for 226Ra in adsorption experiments, including initial (C *0*) and equilibrium (C *e*) aqueous activities, fraction sorbed (fsorbed), equilibrium solid-phase activity (C *s*), distribution coefficients (Kd), and first-order rate constants (k, reported in h-1 with associated standard errors (SE)) for Series B (solution + sand) and Series C (solution + sand + organic matter) across Ca treatments (0.9–70 mg L-1) and nominal 226Ra activities (1, 5, 50 Bq L-1).
| Calcium treatment | Series | V | m | C *0* | C *e* | fsorbed | C *s* | K *d* | k | SE (k) |
|---|---|---|---|---|---|---|---|---|---|---|
| (L) | (g) | (Bq L-1) | (Bq L-1) | (%) | (Bq L-1) | (L kg-1) | (h-1) | (h-1) | ||
| Nominal 226Ra = 1 Bq L-1 | ||||||||||
| 0.9 mg L-1 | B | 0.3 | 0.15 | 1.08 | 0.17 | 0.84 | 1.82 | 1,050.7 | 0.13 | 0.15 |
| C | 0.3 | 0.15 | 1.08 | 0.20 | 0.82 | 1.76 | 8.9 | 0.06 | 0.05 | |
| 7 mg L-1 | B | 0.3 | 0.15 | 0.79 | 0.20 | 0.75 | 1.18 | 5.9 | 0.14 | 0.11 |
| C | 0.3 | 0.15 | 0.79 | 0.21 | 0.73 | 1.15 | 5.4 | 0.06 | 0.04 | |
| 35 mg L-1 | B | 0.3 | 0.15 | 0.68 | 0.31 | 0.54 | 0.73 | 2.3 | 0.06 | 0.08 |
| C | 0.3 | 0.15 | 0.68 | 0.40 | 0.41 | 0.55 | 1.4 | 0.18 | 0.08 | |
| 70 mg L-1 | B | 0.3 | 0.15 | 1.16 | 0.48 | 0.58 | 1.36 | 2.8 | 0.13 | 0.03 |
| C | 0.3 | 0.15 | 1.16 | 0.42 | 0.64 | 1.48 | 3.6 | 0.46 | 0.30 | |
| Nominal 226Ra = 5 Bq L-1 | ||||||||||
| 0.9 mg L-1 | B | 0.3 | 0.15 | 5.4 | 2.16 | 0.60 | 6.48 | 3.0 | 0.83 | 0.34 |
| C | 0.3 | 0.15 | 5.4 | 1.42 | 0.74 | 7.96 | 5.6 | 1.01 | 0.44 | |
| 7 mg L-1 | B | 0.3 | 0.15 | 4.8 | 0.70 | 0.86 | 8.23 | 11.8 | 0.89 | 0.34 |
| C | 0.3 | 0.15 | 4.8 | 0.69 | 0.86 | 8.24 | 12.0 | 0.61 | 0.19 | |
| 35 mg L-1 | B | 0.3 | 0.15 | 3.9 | 1.36 | 0.65 | 5.05 | 3.7 | 0.09 | 0.07 |
| C | 0.3 | 0.15 | 3.9 | 0.87 | 0.78 | 6.02 | 6.9 | 0.04 | 0.03 | |
| 70 mg L-1 | B | 0.3 | 0.15 | 5.1 | 2.97 | 0.42 | 4.26 | 1.4 | 0.33 | 0.15 |
| C | 0.3 | 0.15 | 5.1 | 2.47 | 0.52 | 5.26 | 2.1 | 0.39 | 0.13 | |
| Nominal 226Ra = 50 Bq L-1 | ||||||||||
| 0.9 mg L-1 | B | 0.3 | 0.15 | 46 | 40.55 | 0.12 | 10.91 | 0.3 | 0.87 | 1.76 |
| C | 0.3 | 0.15 | 46 | 14.34 | 0.69 | 63.33 | 4.4 | 0.87 | 0.47 | |
| 7 mg L-1 | B | 0.3 | 0.15 | 50 | 7.28 | 0.85 | 85.43 | 11.7 | 0.19 | 0.05 |
| C | 0.3 | 0.15 | 50 | 7.99 | 0.84 | 84.03 | 10.5 | 0.16 | 0.05 | |
| 35 mg L-1 | B | 0.3 | 0.15 | 40 | 15.52 | 0.61 | 48.95 | 3.2 | 0.09 | 0.04 |
| C | 0.3 | 0.15 | 40 | 15.99 | 0.60 | 48.02 | 3.0 | 0.06 | 0.03 | |
| 70 mg L-1 | B | 0.3 | 0.15 | 48 | 36.79 | 0.23 | 22.42 | 0.6 | 0.07 | 0.02 |
| C | 0.3 | 0.15 | 48 | 20.82 | 0.57 | 54.37 | 2.6 | 0.19 | 0.08 |
Volume (V) and mass (g, dry weight).
Distribution coefficients (K *d*), calculated from aqueous concentrations at 48 h, ranged from 0.3 to 11.8 L kg-1 when exposed to sand only and 0.6–12.0 L kg-1 when exposed to sand and organic matter (Table 3). The quadratic model indicated that Ca had a significant non-linear effect on K *d* (F2,18 = 4.72, p = 0.023), whereas 226Ra concentration (p = 0.61) and the Ca x 226Ra interaction (p = 0.87) were not significant. Overall, K *d* tended to be lower at higher Ca concentrations, although the relationship was non-linear, with the clearest reduction observed at the lowest nominal 226Ra concentration.
Time-dependent changes in dissolved 226Ra were modelled using first-order kinetics to obtain comparative rate constants (k) when exposed to sand only and when exposed to sand and organic matter. Model fits captured the rapid initial removal phase followed by slower asymptotic behaviour (Supplementary Figure S2). Estimated rate constants (k) ranged from 0.06 to 0.89 when exposed to sand only, and 0.04 to 1.01 when exposed to sand and organic matter (Table 3). The quadratic model indicated that Ca had a significant non-linear effect on k (F 2,18 = 5.11, p = 0.018), whereas 226Ra concentration (p = 0.98) and the Ca x 226Ra interaction (p = 0.50) were not significant. Sorption was generally rapid at low Ca, slowed substantially at 35 mg L-1 Ca, and increased again at 70 mg L-1 Ca, although remained slower than at the low Ca concentration.
3.6 Radium-226 sorption to quartz and kaolinite
The results of the batch sorption experiment demonstrated that 226Ra2+ sorption differed significantly between quartz and kaolinite substrates (Figure 5; Table 4). Differences in percent removal between substrates were highly significant across all sampling times (two-way ANOVA, substrate effect: p < 0.001), with estimated marginal mean differences ranging from 83.6% to 86.8% between kaolinite and quartz at 6–48 h (p < 0.001 for all pairwise contrasts). In treatments containing kaolinite, dissolved 226Ra2+ concentrations declined rapidly within the first 6 h, with sorption exceeding 90% across all three 226Ra treatments (mean ± SD = 96 ± 2%). Specifically, 226Ra2+ removal at 6 h was on average 95%, 98%, and 97% for initial nominal concentrations of 1, 5, and 50 Bq L-1, respectively. Following this rapid initial removal, dissolved 226Ra2+ concentrations remained stable, suggesting that equilibrium or near-equilibrium conditions were reached rapidly for kaolinite treatments. Consistent with this observation, there was no significant difference in sorbed 226Ra activity between paired 24 and 48 h for either kaolinite (Wilcoxon signed-rank, p = 0.313) or quartz (Wilcoxon signed-rank, p = 0.773).

TABLE 4. Estimated sorption parameters for 226Ra in batch sorption tests, including initial (C *0*) and equilibrium (C *e*) aqueous activities, fraction sorbed (fsorbed), equilibrium solid-phase activity (C *s*), and distribution coefficients (Kd) at nominal 226Ra activities (1, 5, 50 Bq L-1).
| Nominal 226Ra | Substrate | V | m | C *0* | C *e* | fsorbed | C *s* | K *d* |
|---|---|---|---|---|---|---|---|---|
| (L) | (g) | (Bq L-1) | (Bq L-1) | (%) | (Bq L-1) | L kg-1 | ||
| 1 Bq L-1 | Kaolinite | 0.094 | 0.047 | 0.81 | 0.03 | 0.96 | 1.56 | 50.93 |
| Quartz | 0.83 | −0.02 | −0.04 | −0.03 | ||||
| 5 Bq L-1 | Kaolinite | 0.094 | 0.047 | 4.81 | 0.11 | 0.98 | 9.40 | 49.33 |
| Quartz | 3.77 | 0.22 | 2.07 | 0.55 | ||||
| 50 Bq L-1 | Kaolinite | 0.094 | 0.047 | 50.32 | 1.61 | 0.97 | 97.42 | 62.01 |
| Quartz | 45.14 | 0.10 | 10.36 | 0.23 |
Mean K *d* values for kaolinite were 51, 49 and 62 L kg-1 for the nominal 1, 5, and 50 Bq L-1 treatments, respectively. In contrast, 226Ra sorption to quartz was minimal (K *d* < 0.6 L kg-1) and showed limited temporal progression. Within the first 6 h, there was minimal sorption (11% ± 6%). At 12 h, 226Ra removal remained low (0%–17%), with little change observed at 24 h (2%–21%). By 48 h, 226Ra removal remained low (0%–25%), with mean sorption 0%, 22%, and 10% for initial nominal concentrations of 1, 5, and 50 Bq L-1, respectively.
4 Discussion
The objective of this study was to determine the main sorbing phases controlling dissolved 226Ra2+ activity concentrations in sandy aquatic environments and to evaluate the influence of calcium and organic matter on 226Ra partitioning. The results demonstrate that 226Ra2+ removal from solution under the experimental conditions of this study was governed primarily by interactions with kaolinite contained within the sand substrate, followed by organic matter and quartz, which exerted minimal influence.
4.1 Limited interaction between 226Ra and organic matter
The addition of particulate organic matter (algal cells) produced a small but consistent additional removal of 226Ra. Despite the fact that the organic matter amendment represented only a minor fraction of the total system volume (300 µL in 300 mL), the observed increase in 226Ra removal (∼6%) was statistically significant. However, the magnitude of this effect remained small relative to the much larger influence of kaolinites and calcium concentration on 226Ra partitioning under the oxic, circumneutral conditions examine in this study. This interpretation is consistent with WHAM speciation modelling, which indicated negligible interaction between 226Ra and fulvic or humic acids under the experimental conditions. These findings are also consistent with previous studies demonstrating weak association between 226Ra2+ and organic phases compared to mineral substrates (Rachkova et al., 2010; Thiry and Van Hees, 2008). Thiry and Van Hees (2008) reported that 226Ra2+ exhibits low affinity for organic matter due to its large ionic radius, low hydrolysis tendency, and preference for inorganic sorption sites such as clays. Unlike multivalent transition metals, 226Ra2+ does not form strong surface complexes with functional groups commonly present in organic matter, such as carboxyl or phenolic sites, limiting its incorporation into organic matrices (Brown et al., 2022).
More broadly, field observations further support the limited role of organic matter in directly controlling 226Ra mobility. Organic matter in surface tailings or sediments can enhance biological oxygen demands and promote reducing conditions (Imafidon et al., 2025; Martin et al., 2003; Xu and Tsang, 2022). Under such conditions, Fe3+-reducing microorganisms can dissolve Fe-(hydr)oxides and release associated 226Ra (Landa et al., 1991; Stackelberg et al., 2018; Martin et al., 2003; Kartick, 2015), while sulfate-reducing bacteria may promote dissolution of Ra-BaSO4 minerals (Fedorak et al., 1986; Landa et al., 1991; McCready et al., 1980). While 226Ra sorbed to clay minerals (e.g., kaolinite) and quartz is not sensitive to redox conditions, reducing environments may indirectly increase 226Ra mobility through the reductive dissolution of Fe-(hydr)oxides, which are known to strongly sorb 226Ra (Chellam and Clifford, 2002; Nirdosh et al., 1990; Thiry and Van Hees, 2008). Similarly, 226Ra incorporation into sulfate minerals (e.g., Ra–BaSO4) may also be mobilized under reducing conditions (Martin et al., 2003). Consequently, under the oxic, circumneutral conditions examined in this study, the direct influence of organic matter on 226Ra partitioning was limited.
4.2 Mineralogical control on 226Ra2+ sorption in sandy substrates
The addition of sand resulted in rapid and statistically significant removal of dissolved 226Ra2+ from solution, with 75%–85% removal observed after 48 h under low-calcium conditions. However, subsequent mineral-specific experiments demonstrated that this sorption was attributable almost entirely to kaolinite rather than quartz, the dominant component of the sand used in this experiment. The mineral-specific experiments also indicated that sorption had stabilized by 48 h, indicating that the calculated distribution coefficients (K *d*) correspond to near-equilibrium partitioning under the experimental conditions. Sorption of 226Ra2+ to kaolinite was rapid and extensive (>90% removal), with distribution coefficients ranging from 38 to 49 L kg-1, whereas sorption to quartz was negligible (Kd < 0.6 L kg-1). These experimental observations were consistent with model predictions. Exchange modelling for kaolinite predicted approximately 94% sorption of 226Ra, in good agreement with the observed removal of 95%–98%, supporting the importance of cation exchange processes. In contrast, the SCM for quartz predicted ∼38% sorption, which was higher than the observed range (0%–25%), but still correctly indicated substantially weaker interaction relative to kaolinite. The overprediction for quartz likely reflects uncertainties associated with the simplified SCM parameterization, including the use of literature-derived surface properties, estimated specific surface area, and surrogate equilibrium constants for 226Ra. Together, these results confirm that the presence of reactive clay minerals such as kaolinites within an otherwise quartz-dominated substrate can dominate 226Ra partitioning.
The strong affinity of kaolinite for 226Ra is consistent with previous laboratory studies reporting enhanced adsorption of 226Ra2+ to clay minerals relative to quartz and other framework silicates (Beneš et al., 1985; Reinoso-Maset and Ly, 2016; Robin et al., 2017). Clay minerals possess higher surface area, permanent negative structural charge arising from isomorphic substitution, and greater cation exchange capacity than quartz (Davis and Kent, 1990), facilitating sorption of divalent cations such as 226Ra2+. In contrast, quartz exhibits limited sorption capacity due to its low surface charge density and absence of permanent charge sites, particularly at circumneutral pH (Stumm and Morgan, 1996). The relatively consistent K *d* values observed across the tested 226Ra concentration range suggest that sorption sites were not saturated under the experimental conditions, consistent with partitioning controlled by ion-exchange processes at trace concentrations. These findings highlight the importance of mineralogical composition in controlling 226Ra mobility under the experimental conditions examined in this study.
4.3 Influence of calcium on 226Ra2+ sorption kinetics and partitioning
Calcium concentration exerted a significant influence on both 226Ra partitioning (K *d*) and sorption kinetics (k), whereas no significant effect was observed for the mass of 226Ra sorbed to the solid phase (C *s*). Distribution coefficients generally decreased with increasing Ca concentration, particularly at the lowest 26Ra loading, indicating competitive inhibition of 226Ra sorption by Ca2+. The absence of a significant effect on C *s* suggests that calcium primarily influenced the partitioning of 226Ra between the aqueous and solid phases rather than the total amount sorbed under the experimental conditions. This behaviour is consistent with the chemical similarity between Ca2+ and Ra2+, both of which are alkaline earth metals with similar ionic radii and sorption mechanisms (Langmuir and Riese, 1985; Riese, 1982). Competition for sorption sites on kaolinite and other mineral surfaces reduces the availability of binding sites for Ra2+, resulting in lower sorbed fractions and greater persistence of 226Ra in solution.
The influence of calcium on sorption kinetics was non-linear, with intermediate Ca concentrations producing slower apparent sorption rates compared to both low and high Ca treatments. The partial recovery in sorption rates at 70 mg L-1 Ca relative to 35 mg L-1 Ca was unexpected and suggests that additional processes may influence 226Ra sorption under increasing calcium concentrations. One possible explanation is that increased ionic strength associated with higher calcium concentrations may compress the electrical double layer, facilitating faster transport of 226Ra to mineral surfaces. However, competition between Ca2+ and Ra2+ for sorption sites ultimately limits the extent of 226Ra partitioning to mineral surfaces. Because these processes were not directly evaluated in the present study, the mechanism responsible for the observed non-linear kinetic response remains uncertain and warrants further investigation. Nevertheless, the overall influence of calcium observed here is consistent with previous studies demonstrating that major cations such as Ca2+ play an important role in controlling 226Ra sorption and mobility in natural waters (Beneš et al., 1985; 1984; Langmuir and Riese, 1985).
4.4 Implications for 226Ra mobility and availability to aquatic organisms in sandy environments
The results of this study have implications for predicting 226Ra mobility and availability to aquatic organisms inhabiting sandy substrates. The presence of reactive clay minerals such as kaolinite is likely to substantially reduce dissolved 226Ra concentrations, thereby potentially reducing dissolved exposure and the bioavailable fraction to aquatic organisms. Conversely, environments dominated by quartz-rich sands with low clay content may exhibit limited sorption capacity, potentially resulting in greater 226Ra mobility and dissolved concentrations. These findings are particularly relevant when studying 226Ra toxicity to benthic invertebrates such as fingernail clams (Sphaeriidae), which inhabit sandy and fine-grained substrates and are primarily exposed to 226Ra via overlying water, with additional exposure from interstitial water in sediments and through sediment ingestion (Proulx, 2026; Wiramanaden et al., 2015). Greater partitioning of 226Ra to sediments would be expected to reduce uptake from the overlying water column. However, uptake through sediment ingestion or contact with sediment-bound particles may also contribute to overall exposure, particularly in 226Ra-impacted environments such as uranium mine tailings and downstream aquatic systems (Goulet et al., 2022).
One limitation of the application of our study to natural sandy sediments is that Fe- and Mn-(hydr)oxide phases were largely absent from our experimental substrate. These minerals are recognized as important sorbents for 226Ra because of their high surface area and strong affinity for divalent cations. Previous studies have identified Fe-(hydr)oxides as important sinks for 226Ra in sediments and uranium mine tailings (Landa and Reid, 1983; Liu and Hendry, 2011). Accordingly, natural sediments containing both clay minerals and Fe- and Mn-(hydr)oxide phases would be expected to exhibit greater 226Ra sorption than the sandy substrate evaluated in the present study. However, in natural systems, accumulation of organic matter increases biological oxygen demand and creates reducing conditions. Under such conditions, Fe3+-reducing microorganisms can dissolve Fe-(hydr)oxides and release associated 226Ra (Landa et al., 1991; Stackelberg et al., 2018; Martin et al., 2003; Kartick, 2015), while sulfate-reducing bacteria may promote dissolution of Ra-BaSO4 minerals (Fedorak et al., 1986; Landa et al., 1991; McCready et al., 1980). Under such reducing conditions, sorption to Fe-(hydr)oxides and Ra-BaSO4 may become less important, leaving clay minerals as the main retention mechanism of 226Ra in sandy sediments.
5 Conclusion
Overall, this study demonstrates that 226Ra partitioning under the experimental conditions examined was controlled primarily by mineralogical composition and aqueous geochemistry, particularly the presence of reactive clay minerals and competing major cations such as Ca. Organic matter played a limited direct role in 226Ra sorption under the oxic, circumneutral conditions of this study. Collectively, these findings improve our understanding of the factors controlling 226Ra partitioning in sandy substrates and provides a framework for predicting 226Ra mobility and potential availability to aquatic organisms in natural and contaminated aquatic environments.
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvc.2026.1912040/full#supplementary-material
Supplementary material Supplementary material at the source
Footnotes
Edited by: Roxana Suehring, Toronto Metropolitan University, Canada
Reviewed by: Chaoran Li, Nanjing Normal University, China
Noha Imam, National Institute of Oceanography and Fisheries (NIOF), Egypt
Statements
- Conflict of interest
Author CP was employed by Kilgour & Associates Ltd.
The remaining 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 research was conducted in collaboration with CanmetMINING (Natural Resources Canada, Ottawa, Canada) and Kilgour & Associates Ltd (Ottawa, Canada). Funding for this research was provided by the Natural Sciences and Engineering Research Council of Canada (grant number ALLRP 566677–21) with contributions from BHP Billiton Canada Inc., CAMECO Corp., Canadian Nuclear Laboratories, Canadian Nuclear Safety Commission, Denison Mines Corp., NexGen Energy Ltd., Orano Canada Inc., and the Saskatchewan Ministry of the Environment. Funding was also provided that the NRCan critical minerals funding program and an Impact Assessment Agency of Canada operating grant to RRG.
- Data availability
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
- Author contributions
CP: Methodology, Data curation, Writing – original draft, Visualization, Formal Analysis, Conceptualization. CC: Data curation, Methodology, Writing – review and editing. DK: Data curation, Methodology, Writing – review and editing. DF: Funding acquisition, Supervision, Writing – review and editing. RG: Funding acquisition, Supervision, Writing – review and editing, Methodology, Conceptualization, Resources.
References
- Abin-Bazaine A., Campos Trujillo A., Olmos-Marquez M. (2022). “ Adsorption isotherms: enlightenment of the phenomenon of adsorption,” in Wastewater Treatment. Editors Ince M., Kaplan Ince O. (London, United Kingdom: IntechOpen). doi:10.5772/intechopen.104260
- Ames L. L., McGarrah J. E., Walker B. A. (1983). Sorption of trace constituents from aqueous solutions onto secondary minerals. II. Radium. Clays Clay Min. 31, 335 – 342. doi:10.1346/CCMN.1983.0310502
- Angove M. J., Johnson B. B., Wells J. D. (1997). Adsorption of cadmium(II) on kaolinite. Colloids Surf. Physicochem. Eng. Asp. 126, 137 – 147. doi:10.1016/S0927-7757(96)03990-8
- Ball J. W., Nordstrom D. K. (1991). User’s Manual for WATEQ4F, with Revised Thermodynamic Data Base and Test Cases for Calculating Speciation of Major, Trace, and Redoc Elements in Natural Waters. Denver, Colorado: U.S. Geological Survey Open-File Report 91-183.
- Belgers J. D. M., Aalderink G. H., Arts G. H. P., Brock T. C. M. (2011). Can time-weighted average concentrations be used to assess the risks of metsulfuron-methyl to Myriophyllum spicatum under different time–variable exposure regimes. Chemosphere 85, 1017 – 1025. doi:10.1016/j.chemosphere.2011.07.025
- Beneš P., Strejc P. (1986). Interaction of radium with freshwater sediments and their mineral components: IV. Waste water and riverbed sediments. J. Radioanal. Nucl. Chem. Artic. 99, 407 – 422. doi:10.1007/BF02037602
- Beneš P., Obdrzalek M., Cejchanova M. (1982). The physicochemical forms of traces of radium in aqueous solutions containing chlorides, sulfates and carbonates. Radiochem. Radioanal. Lett. 50, 227 – 241. Available online at:.
- Beneš P., Strejc P., Lukavec Z. (1984). Interaction of radium with freshwater sediments and their mineral components. I ferric hydroxide and quartz. J. Radioanal. Nucl. Chem. Artic. 82, 275 – 285. doi:10.1007/BF02037050
- Beneš P., Borovec Z., Strejc P. (1985). Interaction of radium with freshwater sediments and their mineral components: II. Kaolinite and montmorillonite. J. Radioanal. Nucl. Chem. Artic. 89, 339 – 351. doi:10.1007/BF02040598
- Bland J. M., Altman D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327, 307 – 310. doi:10.1016/S0140-6736(86)90837-8
- Brown P. L., Ekberg C., Matyskin A. V. (2019). On the solubility of radium and other alkaline Earth sulfate and carbonate phases at elevated temperature. Geochim. Cosmochim. Acta 255, 88 – 104. doi:10.1016/j.gca.2019.04.009
- Brown P. L., Matyskin A. V., Ekberg C. (2022). The aqueous chemistry of radium. Radiochim. Acta 110, 505 – 513. doi:10.1515/ract-2021-1141
- Chautard C., Beaucaire C., Gerard M., Roy R., Savoye S., Descostes M. (2020). Geochemical characterization of uranium mill tailings (bois noirs limouzat, France) highlighting the U and 226Ra retention. J. Environ. Radioact. 218, 106251. doi:10.1016/j.jenvrad.2020.106251
- Chellam S., Clifford D. A. (2002). Physical–chemical treatment of groundwater contaminated by leachate from surface disposal of uranium tailings. J. Environ. Eng. 128, 942 – 952. doi:10.1061/(ASCE)0733-9372(2002)128:10(942)
- Clesceri L. S. (1998). Standard Methods: For the Examination of Water and Wastewater (20. Ed). (No. 20 Ed.). American Public Health Association, American Water Works Association, and Water Pollution Control Federation.
- Davis J. A., Kent D. B. (1990). “ Surface complexation modeling in aqueous geochemistry,” in Mineral-Water Interface Geochemistry, Reviews in Mineralogy (Washington, DC: Mineralogical Society of America), 177 – 260.
- Dzombak D. A., Morel F. (1990). Surface Complexation Modeling: Hydrous Ferric Oxide. Wiley, New York: A Wiley-Interscience publication.
- Fedorak P. M., Westlake D. W., Anders C., Kratochvil B., Motkosky N., Anderson W. B. (1986). Microbial release of 226Ra2+ from (Ba,Ra)SO4 sludges from uranium mine wastes. Appl. Environ. Microbiol. 52, 262 – 268. doi:10.1128/aem.52.2.262-268.1986
- Fesenko S., Carvalho F., Martin P., Moore W. S., Yankovich T. (2014). “ Radium in the environment,” in The Environmental Behaviour of Radium: Revised Edition, 476 (Vienna: International Atomic Energy Agency), 282.
- Goulet R. R., Thompson P. A., Serben K. C., Eickhoff C. V. (2015). Impact of environmentally based chemical hardness on uranium speciation and toxicity in six aquatic species. Environ. Toxicol. Chem. 34, 562 – 574. doi:10.1002/etc.2834
- Goulet R. R., Newsome L., Vandenhove H., Keum D.-K., Horyna J., Kamboj S. (2022). Best practices for predictions of radionuclide activity concentrations and total absorbed dose rates to freshwater organisms exposed to uranium mining/milling. J. Environ. Radioact. 244–245, 106826. doi:10.1016/j.jenvrad.2022.106826
- Guérin N., Behm D., Leppinen J., Gagné A. (2023). Determination of 226Ra in environmental samples by alpha spectrometry: a new separation method based on the rapid co-precipitation of 226Ra with PbSO4. J. Radioanal. Nucl. Chem. 332, 4311 – 4323. doi:10.1007/s10967-023-09130-w
- Imafidon O., Akpojivi V. O., Okosun J. Z., Ediagbonya T. F. (2025). Redox chemistry of natural organic matter: a review of mechanisms, environmental applications, and implications for sustainable development. J. Water Process Eng. 77, 108566. doi:10.1016/j.jwpe.2025.108566
- Jeffree R. A. (1988). Patterns of accumulation of alkaline-earth metals in the tissue of the freshwater mussel Velesunio angasi (SOWERBY). Arch. Für Hydrobiol. 112, 67 – 90. doi:10.1127/archiv-hydrobiol/112/1988/67
- Jeffree R. A., Simpson R. D. (1984). Radium-226 is accumulated in calcium granules in the tissues of the freshwater mussel, velesunio angasi: support for a metabolic analogue hypothesis? Comp. Biochem. Physiol. A Physiol. 79, 61 – 72. doi:10.1016/0300-9629(84)90708-4
- Jeffree R. A., Simpson R. D. (1986). An experimental study of the uptake and loss of Ra-226 by the tissue of the tropical freshwater musselVelesunio angasi (sowerby) under varying Ca and Mg water concentrations. Hydrobiologia 139, 59 – 80. doi:10.1007/BF00770242
- Kajjumba G. W., Emik S., Öngen A., Özcan H. K., Aydın S. (2019). “ Modelling of adsorption kinetic processes—errors, theory and application,” in Advanced Sorption Process Applications. Editor Edebali S. (London United Kingdom: IntechOpen). doi:10.5772/intechopen.80495
- Kartick M. (2015). Geochemical and Mineralogical Assessment of Urnium Mine Tailings at Denison Mine, Elliot Lake, Ontario, Canada; Implications for Mobility of 226Ra. Toronto, Ontario: University of Toronto.
- Kitamura A., Fujiwara K., Yamamoto T., Nishikawa S., Moriyama H. (1999). Analysis of adsorption behavior of cations onto quartz surface by electrical double-layer model. J. Nucl. Sci. Technol. 36, 1167 – 1175. doi:10.1080/18811248.1999.9726312
- Kumm Z. A., Gier S. (2024). Cation exchange capacity- an alternative method to investigate the geological barrier for landfills? Appl. Clay Sci. 259, 107513. doi:10.1016/j.clay.2024.107513
- Landa E. R., Reid D. F. (1983). Sorption of radium-226 from oil-production brine by sediments and soils. Environ. Geol. 5, 1 – 8. doi:10.1007/BF02381293
- Landa E. R., Phillips E. J. P., Lovley D. R. (1991). Release of226Ra from uranium mill tailings by microbial Fe(III) reduction. Appl. Geochem. 6, 647 – 652. doi:10.1016/0883-2927(91)90075-Z
- Langmuir D., Riese A. C. (1985). The thermodynamic properties of radium. Geochim. Cosmochim. Acta 49, 1593 – 1601. doi:10.1016/0016-7037(85)90264-9
- Liu D. J., Hendry M. J. (2011). Controls on 226Ra during raffinate neutralization at the key Lake uranium mill, Saskatchewan, Canada. Appl. Geochem. 26, 2113 – 2120. doi:10.1016/j.apgeochem.2011.07.009
- Liu Y., Shen L. (2008). From langmuir kinetics to First- and second-order rate equations for adsorption. Langmuir 24, 11625 – 11630. doi:10.1021/la801839b
- Martin A. J., Crusius J., Jay McNee J., Yanful E. K. (2003). The mobility of radium-226 and trace metals in pre-oxidized subaqueous uranium mill tailings. Appl. Geochem. 18, 1095 – 1110. doi:10.1016/S0883-2927(02)00243-3
- McCready R. G. L., Bland C. J., Gonzales D. E. (1980). Preliminary studies on the chemical, physical, and biological stability of Ba/RaSO4 precipitates. Hydrometallurgy 5, 109 – 116. doi:10.1016/0304-386X(80)90032-8
- Nair S., Karimzadeh L., Merkel B. J. (2014). Surface complexation modeling of Uranium(VI) sorption on quartz in the presence and absence of alkaline Earth metals. Environ. Earth Sci. 71, 1737 – 1745. doi:10.1007/s12665-013-2579-5
- Nautilus Environmental (2021). The Fate of Rare Earth Elements in Aquatic Toxicity Tests: Solubility, Speciation and Bioaccumulation of Lanthanum, Neodymium, Yttrium and Cerium. Report Prepared for Natural Resources Canada. Burnaby, BC, Canada: Nautilus Environmental.
- Nirdosh I., Trembley W. B., Johnson C. R. (1990). Adsorption-desorption studies on the 226Ra-hydrated metal oxide systems. Hydrometallurgy 24, 237 – 248. doi:10.1016/0304-386X(90)90089-K
- Parkhurst D. L., Appelo C. A. J. (1999). User’s Guide to PHREEQC (Version 2) - A Computer Program for Speciation, bath-reaction, one-dimensional Transport, and Inverse Geochemical Calculations. Denver, Colorado: U.S. Geological Survey.
- Proulx C. L. (2026). Environmental Fate and Biological Effects of radium-226 in Freshwater Environments: Bioaccumulation and Toxicity in Fingernail Clams (Sphaeriidae). Phd Dissertation. ON, Canada: University of Ottawa.
- Proulx C. L., Kilgour B. W., Goulet R. R. (2025). Quantifying historical releases of radium-226 from Canadian mining operations to freshwaters. J. Environ. Radioact. 283, 107629. doi:10.1016/j.jenvrad.2025.107629
- R Core Team (2026). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. doi:10.32614/R.manuals
- Rachkova N. G., Shuktomova I. I., Taskaev A. I. (2010). The state of natural radionuclides of uranium, radium, and thorium in soils. Eurasian Soil Sci. 43, 651 – 658. doi:10.1134/S1064229310060050
- Raghav S., Kumar D. (2018). Adsorption equilibrium, kinetics, and thermodynamic studies of fluoride adsorbed by tetrametallic oxide adsorbent. J. Chem. Eng. Data 63, 1682 – 1697. doi:10.1021/acs.jced.8b00024
- Rakshit S., Sarkar D., Datta R. (2015). Surface complexation of antimony on kaolinite. Chemosphere 119, 349 – 354. doi:10.1016/j.chemosphere.2014.06.070
- Reinoso-Maset E., Ly J. (2016). Study of uranium(VI) and radium(II) sorption at trace level on kaolinite using a multisite ion exchange model. J. Environ. Radioact. 157, 136 – 148. doi:10.1016/j.jenvrad.2016.03.014
- Riese A. C. (1982). Adsorption of Radium and Thorium onto Quartz and Kaolinite. a Comparison of solution/surface Equilibria Models. Golden, Colorado: Colorado School of Mines.
- Robin V., Tertre E., Beaucaire C., Regnault O., Descostes M. (2017). Experimental data and assessment of predictive modeling for radium ion-exchange on beidellite, a swelling clay mineral with a tetrahedral charge. Appl. Geochem. 85, 1 – 9. doi:10.1016/j.apgeochem.2017.07.009
- Rühlmann J., Körschens M., Graefe J. (2006). A new approach to calculate the particle density of soils considering properties of the soil organic matter and the mineral matrix. Geoderma 130, 272 – 283. doi:10.1016/j.geoderma.2005.01.024
- Sajih M., Bryan N. D., Livens F. R., Vaughan D. J., Descostes M., Phrommavanh V. (2014). Adsorption of radium and barium on goethite and ferrihydrite: a kinetic and surface complexation modelling study. Geochim. Cosmochim. Acta 146, 150 – 163. doi:10.1016/j.gca.2014.10.008
- Salerno J., Gillis P. L., Bennett C. J., Sibley P. K., Prosser R. S. (2018). Investigation of clearance rate as an endpoint in toxicity testing with freshwater mussels (Unionidae). Ecotoxicol. Environ. Saf. 163, 165 – 171. doi:10.1016/j.ecoenv.2018.07.054
- Serra-Ventura J., Sabaté-Herrero G., Rigol A., Vidal M. (2025). Chemical analogues and probabilistic functions to derive distribution coefficients of radium in soils. J. Environ. Radioact. 289, 107769. doi:10.1016/j.jenvrad.2025.107769
- Stackelberg P. E., Szabo Z., Jurgens B. C. (2018). Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA. Appl. Geochem. 89, 34 – 48. doi:10.1016/j.apgeochem.2017.11.002
- Stumm W., Morgan J. J. (1996). Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters Wiley, New York: Environmental science and technology.
- Szymanek K., Charmas R., Piasecki W. (2021). Investigations of mechanism of Ca2+ adsorption on silica and alumina based on Ca-ISE monitoring, potentiometric titration, electrokinetic measurements and surface complexation modeling. Adsorption 27, 105 – 115. doi:10.1007/s10450-020-00280-x
- Tachi Y., Shibutani T., Sato H., Yui M. (2001). Experimental and modeling studies on sorption and diffusion of radium in bentonite. J. Contam. Hydrol. 47, 171 – 186. doi:10.1016/S0169-7722(00)00147-9
- Thiry Y., Van Hees M. (2008). Evolution of pH, organic matter and 226radium/calcium partitioning in U-mining debris following revegetation with pine trees. Sci. Total Environ. 393, 111 – 117. doi:10.1016/j.scitotenv.2007.12.020
- Tipping E. (1994). WHAMC—A chemical equilibrium model and computer code for waters, sediments, and soils incorporating a discrete site/electrostatic model of ion-binding by humic substances. Comput. Geosci. 20, 973 – 1023. doi:10.1016/0098-3004(94)90038-8
- Wiramanaden C. I. E., Orr P. L., Russel C. K. (2015). Assessment of radium-226 bioavailability and bioaccumulation downstream of decommissioned uranium operations, using the caged oligochaete (Lumbriculus variegatus). Environ. Toxicol. Chem. 34, 507 – 517. doi:10.1002/etc.2852
- Xu Z., Tsang D. C. W. (2022). Redox-induced transformation of potentially toxic elements with organic carbon in soil. Carbon Res. 1, 9. doi:10.1007/s44246-022-00010-8
- Zhang T., Gregory K., Hammack R. W., Vidic R. D. (2014). Co-precipitation of radium with barium and strontium sulfate and its impact on the fate of radium during treatment of produced water from unconventional gas extraction. Environ. Sci. Technol. 48, 4596 – 4603. doi:10.1021/es405168b
Citation
Proulx, C. L., et al. (2026). Mineral-dependent and calcium-inhibited adsorption of radium-226 onto quartz and kaolinite in a natural sand substrate. Frontiers in Environmental Chemistry, Volume 7. https://doi.org/
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- Accepted
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- 7 - 2026
Copyright
Copyright © 2026 Proulx, Cadieux, Knaack, Fortin and Goulet.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: C. L. Proulx
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