Review
Application of surface complexation modeling on adsorption of uranium at water-solid interface: A review

https://doi.org/10.1016/j.envpol.2021.116861Get rights and content

Highlights

  • The rationale of various surface complexation modeling (SCM) was briefly summarized.

  • Application of SCM on uranium sorption on various adsorbents was detailed reviewed.

  • Understanding the sorption mechanism of uranium at water-mineral interface.

  • Beneficial guidelines for the actual treatment of radionuclides in environment.

Abstract

Precise prediction of uranium adsorption at water-mineral interface is of great significance for the safe disposal of radionuclides in geologic environments. Surface complexation modeling (SCM) as a very useful tool has been extensively investigated for simulating adsorption behavior of metals/metalloids at water-mineral interface. Numerous studies concerning the fitting of uranium adsorption on various adsorbents using SCM are well documented, but the systematic and comprehensive review of uranium adsorption using various SCM is not available. In this review, we briefly summarized the rationale of SCM, including constant-capacitance-model (CCM), diffuse-layer-model (DLM), triple-layer-model (TLM); The recent progress in the application of SCM on the fitting of uranium adsorption towards metal (hydr)oxides, clay minerals and soil/sediments was reviewed in details. This review hopefully provides the beneficial guidelines for predicting the transport and fate of uranium in geologic environments beyond laboratory timescales.

Introduction

The pollution of uranium into subsurface environments is an increasingly concern associated with the natural activities and anthropogenic sources (e.g., the milling of uranium mine, post-processing of spent fuel and nuclear test), which exhibits the potential threats to eco-environmental diversity and human health (Burns et al., 2012; Hiess et al., 2012; Rosa et al., 2010). A understanding the transport and fate of uranium in subsurface environments, including hexavalent U (e.g., highly soluble and mobile U(VI)O22+ species) and tetravalent U (e.g., sparingly soluble U(IV)O2 species), is crucial for the remediation of uranium-contaminated sites (Fletcher et al., 2010). The effect of environmental factors (e.g., pH, Eh, Ca2+, CO32−, organic matter and microbes) on the transport and fate of uranium had been widely elucidated in recent years (Cumberland et al., 2016; Geckeis et al., 2013; Gorman-Lewis et al., 2008; Ishag et al., 2020). The transport and fate of uranium are strongly influenced by geochemical processes such as adsorption/desorption, precipitation/dissolution, accumulation/diffusion, mobilization/migration, oxidation/reduction. However, The prediction of transport and fate of uranium under the actual complicated environments remains unclear due to the geographical and temporal limitations (Hu et al., 2019; Langmuir, 1978; Mitchell et al., 2013). To solve these uncertainties and difficulties, the precise prediction of uranium adsorption at water-mineral interface beyond laboratory timescales is of great significance for the safe disposal of radionuclides in geologic environments.

Modeling refers to the simulation process of the real system using fundamental knowledge to achieve certain aims (Stumm et al., 1970). These empirical adsorption modeling (e.g., Langmuir (1918), Freundlich (1906), distribution coefficient (Kaplan et al., 1996)) can only describe the adsorption process under the simple experimental conditions, whereas the effect of various environmental factors (e.g., pH, ionic strength, competing ions, surface area, surface charge and potential of sorbent properties) on adsorption behavior can not explicitly simulated by these models (Stumm et al., 1970; Villalobos and Leckie, 2001). Surface complexation modeling (SCM) described the equilibrium of ion binding to complex reactive components of surface environments (Nano and Strathmann, 2008; Sposito, 1984), which is based on surface complexation (ion-binding) of adsorbed ion adjacent to the surface of adsorbent through the electrical double layer (EDL, specific electrostatic planes). SCM as a powerful tool has been widely used to simulate adsorption processes of various organics (Hwang and Lenhart, 2009; Ravat et al., 2000; Ruyter-Hooley et al., 2015), heavy metals (cadmium (Huang et al., 2015; Kantar et al., 2009; Kaulbach et al., 2005; Schaller et al., 2009), chromium(Han et al., 2006; Huang et al., 2016; Reich and Koretsky, 2011; Xie et al., 2015), copper (Gu and Evans, 2008; Gu et al., 2010; Peacock and Sherman, 2004; Swedlund et al., 2009; Xue et al., 2009), cobalt (Berka and Banyai, 2001; Bradbury and Baeyens, 2005b, 2011), mercury (Daughney et al., 2002; Lv et al., 2012; Mangold et al., 2014), nickel (Yang et al., 2015), lead (Ding et al., 2016; Dyer et al., 2003; Gu and Evans, 2007; Gu et al., 2010; Xue et al., 2009), zinc (Balistrieri et al., 2008; Dyer et al., 2004; Gu and Evans, 2007; Ha et al., 2010; Sitko et al., 2013; Swedlund et al., 2009)) and radionuclides (thorium (Bradbury and Baeyens, 2005a; Hu et al., 2017b; Pan et al., 2011; Xie and Powell, 2018), europium (Bradbury et al., 2005; Chen et al., 2014; Jin et al., 2014; Sun et al., 2012), strontium (Borrok and Fein, 2005; Chen et al., 2008; Gu and Fein, 2015; Hu et al., 2017a; Naveau et al., 2006; Nie et al., 2017), cesium (Fang et al., 2016)). Although the explosive growth in surface complexation modeling describing the adsorption behavior of uranium at water-solid interface has been widely investigated in the last several decades (Arai et al., 2006; Barnett et al., 2002; Ding et al., 2014; Guo et al., 2009b; Loganathan et al., 2009; Lu et al., 2017; Nair et al., 2014; Ordonez-Regil et al., 2003; Rotter et al., 2008; Sun et al., 2020; Guo et al., 2009b; Xie et al., 2016), the review concerning the application of SCM on uranium adsorption is not available (Cumberland et al., 2016; Wang and Giammar, 2013).

In this review, the fundamental rationale of SCM, including constant-capacitance- model (CCM), diffuse-layer-model (DLM), triple-layer-model (TLM), was firstly summarized; Then adsorption behaviors of uranium on various adsorbents (i.e., metal hydr/oxides, clay minerals and soil/sediments) using SCM was reviewed in details, which is of great importance for the precise prediction of transformation and fate uranium in actual aquifers. This review provides the guideline for designing cost-effective remediation technology and developing suitable materials for encapsulation and disposal of nuclear waste (Schindler et al., 1976).

Section snippets

Rationale of SCM

The criteria of SCM include: i) Adsorption occurs in specific surface coordination sites. The reaction of dissolved solute with specific surface functional groups forms surface complexes (ion pairs or coordinative complexes) in homogeneous solutions, which is analogous to complexation reactions; ii) adsorption reaction can be followed by mass law equation; iii) surface charge is caused by the adsorption (formation of surface complexes) reaction itself. The affinity of surface functional group

Fitting of uranium adsorption on iron (hydr)oxides

The surface of iron (hydr)oxides exhibits the unbalance of chemical force due to the different atomic radius of Fe and O moieties. This unbalance can be removed by chemisorbing water to form proton-bearing surface hydroxyl (SOH) groups. Thus, these surface hydroxyl groups can be used as proton donor and proton acceptor, which are named as amphoteric surface functional groups (James and Parks, 1982). Consequently, uranium adsorption on these iron (hydr)oxides is pH-dependent. SCM has been

Conclusions and perspectives

In summary, SCM has become an increasingly popular tool for describing ion adsorption at water-solid interface, featuring ion association reactions in solution as a representation of adsorption reaction. U(VI) adsorption on various adsorbents was highly dependent on water chemistry such as pH, ionic strength, atmospheric CO2 and microbes, whereas U(VI) adsorption can be satisfactorily fitted by a variety of surface complexation modeling (e.g., CCM, DLM and TLM) under continuous efforts of

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References (196)

  • M.H. Bradbury et al.

    Sorption of Eu(III)/Cm(III) on Ca-montmorillonite and Na-illite. Part 2: surface complexation modelling

    Geochem. Cosmochim. Acta

    (2005)
  • H.B. Bradl

    Adsorption of heavy metal ions on soils and soils constituents

    J. Colloid Interface Sci.

    (2004)
  • X. Cao et al.

    Modeling the risk of U(VI) migration through an engineered barrier system at a proposed Chinese high-level radioactive waste repository

    Sci. Total Environ.

    (2020)
  • J.G. Catalano et al.

    Uranyl adsorption onto montmorillonite: evaluation of binding sites and carbonate complexation

    Geochem. Cosmochim. Acta

    (2005)
  • C. Chen et al.

    Surface complexation modeling of Sr(II) and Eu(III) adsorption onto oxidized multiwall carbon nanotubes

    J. Colloid Interface Sci.

    (2008)
  • Z.Y. Chen et al.

    Surface complexation modeling of Eu(III) and phosphate on Na-bentonite: binary and ternary adsorption systems

    Chem. Eng. J.

    (2014)
  • C.J. Chisholm-Brause et al.

    Uranyl sorption by smectites: spectroscopic assessment of thermodynamic modeling

    J. Colloid Interface Sci.

    (2004)
  • S.A. Cumberland et al.

    Uranium mobility in organic matter-rich sediments: a review of geological and geochemical processes

    Earth Sci. Rev.

    (2016)
  • M.A. Dangelmayr et al.

    Uncertainty and variability in laboratory derived sorption parameters of sediments from a uranium in situ recovery site

    J. Contam. Hydrol.

    (2018)
  • J.A. Davis et al.

    Approaches to surface complexation modeling of uranium(VI) adsorption on aquifer sediments

    Geochem. Cosmochim. Acta

    (2004)
  • C.C. Ding et al.

    Competitive sorption of Pb(II), Cu(II) and Ni(II) on carbonaceous nanofibers: a spectroscopic and modeling approach

    J. Hazard Mater.

    (2016)
  • J.A. Dyer et al.

    Surface complexation modeling of zinc sorption onto ferrihydrite

    J. Colloid Interface Sci.

    (2004)
  • H. Fang et al.

    Environmental assessment of heavy metal transport and transformation in the Hangzhou Bay, China

    J. Hazard Mater.

    (2016)
  • P.M. Fox et al.

    The effect of calcium on aqueous uranium(VI) speciation and adsorption to ferrihydrite and quartz

    Geochem. Cosmochim. Acta

    (2006)
  • D. Gorman-Lewis et al.

    Review of uranyl mineral solubility measurements

    J. Chem. Therm.

    (2008)
  • D. Gu et al.

    Adsorption of metals onto graphene oxide: surface complexation modeling and linear free energy relationships

    Colloids Surf., A

    (2015)
  • X. Gu et al.

    Modelling the adsorption of Cd(II), Cu(II), Ni(II), Pb(II), and Zn(II) onto Fithian illite

    J. Colloid Interface Sci.

    (2007)
  • X. Gu et al.

    Surface complexation modelling of Cd(II), Cu(II), Ni(II), Pb(II) and Zn(II) adsorption onto kaolinite

    Geochem. Cosmochim. Acta

    (2008)
  • X. Gu et al.

    Modeling the adsorption of Cd (II), Cu (II), Ni (II), Pb (II) and Zn (II) onto montmorillonite

    Geochem. Cosmochim. Acta

    (2010)
  • H. Guo et al.

    Modeling and EXAFS investigation of U(VI) sequestration on Fe3O4/PCMs composites

    Chem. Eng. J.

    (2019)
  • Z. Guo et al.

    Sorption of U(VI) on goethite: effects of pH, ionic strength, phosphate, carbonate and fulvic acid

    Appl. Radiat. Isot.

    (2009)
  • J. Ha et al.

    Role of extracellular polymeric substances in metal ion complexation on Shewanella oneidensis: batch uptake, thermodynamic modeling, ATR-FTIR, and EXAFS study

    Geochem. Cosmochim. Acta

    (2010)
  • X. Han et al.

    Surface complexation mechanism and modeling in Cr(III) biosorption by a microalgal isolate, Chlorella miniata

    J. Colloid Interface Sci.

    (2006)
  • K.F. Hayes et al.

    Surface complexation models: an evaluation of model parameter estimation using FITEQL and oxide mineral titration data

    J. Colloid Interface Sci.

    (1991)
  • H. Hohl et al.

    Interaction of Pb2+ with hydrous γ-Al2O3

    J. Colloid Interface Sci.

    (1976)
  • B.W. Hu et al.

    Plasma-enhanced amidoxime/magnetic graphene oxide for efficient enrichment of U(VI) investigated by EXAFS and modelind techniques

    Chem. Eng. J.

    (2019)
  • B.W. Hu et al.

    New insights into Th(IV) speciation on sepiolite: evidence for EXAFS and modeling investigation

    Chem. Eng. J.

    (2017)
  • J.Y. Huang et al.

    The sorption of Cd(II) and U(VI) on sepiolite: a combined experimental and modeling studies

    J. Mol. Liq.

    (2015)
  • F. Huber et al.

    U(VI) removal kinetics in presence of synthetic magnetite nanoparticles

    Geochem. Cosmochim. Acta

    (2012)
  • Y.S. Hwang et al.

    Surface complexation modeling of dual-mode adsorption of organic acids: phthalic acid adsorption onto hematite

    J. Colloid Interface Sci.

    (2009)
  • A. Ishag et al.

    Environmental application of emerging zero-valent iron-based materials on removal of radionuclides from the wastewater: a review

    Environ. Res.

    (2020)
  • Q. Jin et al.

    The adsorption of Eu(III) and Am(III) on Beishan granite: XPS, EPMA, batch and modeling study

    Appl. Geochem.

    (2014)
  • C. Kantar et al.

    Modeling Cd(II) adsorption to heterogeneous subsurface soils in the presence of citric acid using a semi-empirical surface complexation approach

    J. Contam. Hydrol.

    (2009)
  • D. Arda et al.

    Surface complexation modelling of uranyl adsorption onto kaolinite based clay minerals using FITEQL 3.2

    Radiochim. Acta

    (2006)
  • S. Bachmaf et al.

    Sorption of uranium(VI) at the clay mineral–water interface

    Environ. Earth Sci.

    (2011)
  • M.O. Barnett et al.

    U(VI) adsorption to heterogeneous subsurface media: application of a surface complexation model

    Environ. Sci. Technol.

    (2002)
  • G. Bernhard et al.

    Uranyl(VI) carbonate complex formation: validation of the Ca2UO2(CO3)3(aq.) species

    Radiochim. Acta

    (2001)
  • C.M. Bethke

    Geochemical and Biogeochemical Reaction Modeling

    (2010)
  • L.B. Bhuiyan et al.

    Monte Carlo simulation for the double layer structure of an ionic liquid using a dimer model: a comparison with the density functional theory

    J. Phys. Chem. B

    (2012)
  • L.B. Bhuiyan et al.

    Planar electric double layer for a restricted primitive model electrolyte at low temperatures

    Langmuir

    (2006)
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