Modeling uranium(VI) adsorption onto montmorillonite under varying carbonate concentrations: A surface complexation model accounting for the spillover effect on surface potential
The prediction of U(VI) adsorption onto montmorillonite clay is confounded by the complexities of: (1) the montmorillonite structure in terms of adsorption sites on basal and edge surfaces, and the complex interactions between the electrical double layers at these surfaces, and (2) U(VI) solution sp...
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Veröffentlicht in: | Geochimica et cosmochimica acta 2018-01, Vol.220 (C), p.291-308 |
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description | The prediction of U(VI) adsorption onto montmorillonite clay is confounded by the complexities of: (1) the montmorillonite structure in terms of adsorption sites on basal and edge surfaces, and the complex interactions between the electrical double layers at these surfaces, and (2) U(VI) solution speciation, which can include cationic, anionic and neutral species. Previous U(VI)-montmorillonite adsorption and modeling studies have typically expanded classical surface complexation modeling approaches, initially developed for simple oxides, to include both cation exchange and surface complexation reactions. However, previous models have not taken into account the unique characteristics of electrostatic surface potentials that occur at montmorillonite edge sites, where the electrostatic surface potential of basal plane cation exchange sites influences the surface potential of neighboring edge sites (‘spillover’ effect).
A series of U(VI) – Na-montmorillonite batch adsorption experiments was conducted as a function of pH, with variable U(VI), Ca, and dissolved carbonate concentrations. Based on the experimental data, a new type of surface complexation model (SCM) was developed for montmorillonite, that specifically accounts for the spillover effect using the edge surface speciation model by Tournassat et al. (2016a). The SCM allows for a prediction of U(VI) adsorption under varying chemical conditions with a minimum number of fitting parameters, not only for our own experimental results, but also for a number of published data sets. The model agreed well with many of these datasets without introducing a second site type or including the formation of ternary U(VI)-carbonato surface complexes. The model predictions were greatly impacted by utilizing analytical measurements of dissolved inorganic carbon (DIC) concentrations in individual sample solutions rather than assuming solution equilibration with a specific partial pressure of CO2, even when the gas phase was laboratory air. Because of strong aqueous U(VI)-carbonate solution complexes, the measurement of DIC concentrations was even important for systems set up in the ‘absence’ of CO2, due to low levels of CO2 contamination during the experiment. |
doi_str_mv | 10.1016/j.gca.2017.09.049 |
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A series of U(VI) – Na-montmorillonite batch adsorption experiments was conducted as a function of pH, with variable U(VI), Ca, and dissolved carbonate concentrations. Based on the experimental data, a new type of surface complexation model (SCM) was developed for montmorillonite, that specifically accounts for the spillover effect using the edge surface speciation model by Tournassat et al. (2016a). The SCM allows for a prediction of U(VI) adsorption under varying chemical conditions with a minimum number of fitting parameters, not only for our own experimental results, but also for a number of published data sets. The model agreed well with many of these datasets without introducing a second site type or including the formation of ternary U(VI)-carbonato surface complexes. The model predictions were greatly impacted by utilizing analytical measurements of dissolved inorganic carbon (DIC) concentrations in individual sample solutions rather than assuming solution equilibration with a specific partial pressure of CO2, even when the gas phase was laboratory air. Because of strong aqueous U(VI)-carbonate solution complexes, the measurement of DIC concentrations was even important for systems set up in the ‘absence’ of CO2, due to low levels of CO2 contamination during the experiment.</description><identifier>ISSN: 0016-7037</identifier><identifier>EISSN: 1872-9533</identifier><identifier>DOI: 10.1016/j.gca.2017.09.049</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Adsorption ; Clay ; ENVIRONMENTAL SCIENCES ; GEOSCIENCES ; Montmorilonite ; Spillover ; Surface complexation modeling ; Uranium</subject><ispartof>Geochimica et cosmochimica acta, 2018-01, Vol.220 (C), p.291-308</ispartof><rights>2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a456t-73a5101fa3e70de6d799a33bbd184f1f949717eff688635b7595a9e2add7f59f3</citedby><cites>FETCH-LOGICAL-a456t-73a5101fa3e70de6d799a33bbd184f1f949717eff688635b7595a9e2add7f59f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.gca.2017.09.049$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1437748$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Tournassat, C.</creatorcontrib><creatorcontrib>Tinnacher, R.M.</creatorcontrib><creatorcontrib>Grangeon, S.</creatorcontrib><creatorcontrib>Davis, J.A.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><title>Modeling uranium(VI) adsorption onto montmorillonite under varying carbonate concentrations: A surface complexation model accounting for the spillover effect on surface potential</title><title>Geochimica et cosmochimica acta</title><description>The prediction of U(VI) adsorption onto montmorillonite clay is confounded by the complexities of: (1) the montmorillonite structure in terms of adsorption sites on basal and edge surfaces, and the complex interactions between the electrical double layers at these surfaces, and (2) U(VI) solution speciation, which can include cationic, anionic and neutral species. Previous U(VI)-montmorillonite adsorption and modeling studies have typically expanded classical surface complexation modeling approaches, initially developed for simple oxides, to include both cation exchange and surface complexation reactions. However, previous models have not taken into account the unique characteristics of electrostatic surface potentials that occur at montmorillonite edge sites, where the electrostatic surface potential of basal plane cation exchange sites influences the surface potential of neighboring edge sites (‘spillover’ effect).
A series of U(VI) – Na-montmorillonite batch adsorption experiments was conducted as a function of pH, with variable U(VI), Ca, and dissolved carbonate concentrations. Based on the experimental data, a new type of surface complexation model (SCM) was developed for montmorillonite, that specifically accounts for the spillover effect using the edge surface speciation model by Tournassat et al. (2016a). The SCM allows for a prediction of U(VI) adsorption under varying chemical conditions with a minimum number of fitting parameters, not only for our own experimental results, but also for a number of published data sets. The model agreed well with many of these datasets without introducing a second site type or including the formation of ternary U(VI)-carbonato surface complexes. The model predictions were greatly impacted by utilizing analytical measurements of dissolved inorganic carbon (DIC) concentrations in individual sample solutions rather than assuming solution equilibration with a specific partial pressure of CO2, even when the gas phase was laboratory air. Because of strong aqueous U(VI)-carbonate solution complexes, the measurement of DIC concentrations was even important for systems set up in the ‘absence’ of CO2, due to low levels of CO2 contamination during the experiment.</description><subject>Adsorption</subject><subject>Clay</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>GEOSCIENCES</subject><subject>Montmorilonite</subject><subject>Spillover</subject><subject>Surface complexation modeling</subject><subject>Uranium</subject><issn>0016-7037</issn><issn>1872-9533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kc2OFCEUhYnRxHb0AdwRV7qoEpqiKHQ1mejMJGPcqFtC8zNDpwoqQHXG1_IJvdjGpRtIuPd853IPQq8p6Smh4_tjf290vydU9ET2ZJBP0I5OYt9JzthTtCPQ1AnCxHP0opQjIURwTnbo15dk3RziPd6yjmFb3v64fYe1LSmvNaSIU6wJL3AuKYd5TjFUh7doXcYnnX82pdH5kKKGd5OicbFm3aTlA77EZctem1ZZ1tk9_ikADjyxNiZtsTaCTxnXB4fL2ixOwHbeO1PB_R9hTRXQQc8v0TOv5-Je_b0v0PfPn75d3XR3X69vry7vOj3wsXaCaQ6r8Zo5QawbrZBSM3Y4WDoNnno5SEEF-IzTNDJ-EFxyLd1eWys8l55doDdnbio1qGLg4-YBfhhhMEUHJsQwQRM9N5mcSsnOqzWHBRajKFEtGXVUkIxqySgiFSQDmo9njYPpT8HlBnewORtyY9sU_qP-DQz_nDg</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Tournassat, C.</creator><creator>Tinnacher, R.M.</creator><creator>Grangeon, S.</creator><creator>Davis, J.A.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope></search><sort><creationdate>20180101</creationdate><title>Modeling uranium(VI) adsorption onto montmorillonite under varying carbonate concentrations: A surface complexation model accounting for the spillover effect on surface potential</title><author>Tournassat, C. ; Tinnacher, R.M. ; Grangeon, S. ; Davis, J.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a456t-73a5101fa3e70de6d799a33bbd184f1f949717eff688635b7595a9e2add7f59f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adsorption</topic><topic>Clay</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>GEOSCIENCES</topic><topic>Montmorilonite</topic><topic>Spillover</topic><topic>Surface complexation modeling</topic><topic>Uranium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tournassat, C.</creatorcontrib><creatorcontrib>Tinnacher, R.M.</creatorcontrib><creatorcontrib>Grangeon, S.</creatorcontrib><creatorcontrib>Davis, J.A.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Geochimica et cosmochimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tournassat, C.</au><au>Tinnacher, R.M.</au><au>Grangeon, S.</au><au>Davis, J.A.</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling uranium(VI) adsorption onto montmorillonite under varying carbonate concentrations: A surface complexation model accounting for the spillover effect on surface potential</atitle><jtitle>Geochimica et cosmochimica acta</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>220</volume><issue>C</issue><spage>291</spage><epage>308</epage><pages>291-308</pages><issn>0016-7037</issn><eissn>1872-9533</eissn><abstract>The prediction of U(VI) adsorption onto montmorillonite clay is confounded by the complexities of: (1) the montmorillonite structure in terms of adsorption sites on basal and edge surfaces, and the complex interactions between the electrical double layers at these surfaces, and (2) U(VI) solution speciation, which can include cationic, anionic and neutral species. Previous U(VI)-montmorillonite adsorption and modeling studies have typically expanded classical surface complexation modeling approaches, initially developed for simple oxides, to include both cation exchange and surface complexation reactions. However, previous models have not taken into account the unique characteristics of electrostatic surface potentials that occur at montmorillonite edge sites, where the electrostatic surface potential of basal plane cation exchange sites influences the surface potential of neighboring edge sites (‘spillover’ effect).
A series of U(VI) – Na-montmorillonite batch adsorption experiments was conducted as a function of pH, with variable U(VI), Ca, and dissolved carbonate concentrations. Based on the experimental data, a new type of surface complexation model (SCM) was developed for montmorillonite, that specifically accounts for the spillover effect using the edge surface speciation model by Tournassat et al. (2016a). The SCM allows for a prediction of U(VI) adsorption under varying chemical conditions with a minimum number of fitting parameters, not only for our own experimental results, but also for a number of published data sets. The model agreed well with many of these datasets without introducing a second site type or including the formation of ternary U(VI)-carbonato surface complexes. The model predictions were greatly impacted by utilizing analytical measurements of dissolved inorganic carbon (DIC) concentrations in individual sample solutions rather than assuming solution equilibration with a specific partial pressure of CO2, even when the gas phase was laboratory air. Because of strong aqueous U(VI)-carbonate solution complexes, the measurement of DIC concentrations was even important for systems set up in the ‘absence’ of CO2, due to low levels of CO2 contamination during the experiment.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.gca.2017.09.049</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adsorption Clay ENVIRONMENTAL SCIENCES GEOSCIENCES Montmorilonite Spillover Surface complexation modeling Uranium |
title | Modeling uranium(VI) adsorption onto montmorillonite under varying carbonate concentrations: A surface complexation model accounting for the spillover effect on surface potential |
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