(Micro)spectroscopic Analyses of Particle Size Dependence on Arsenic Distribution and Speciation in Mine Wastes
The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, tr...
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| Veröffentlicht in: | Environ. Sci. Technol 2013-08, Vol.47 (15), p.8164-8171 |
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| creator | Kim, C. S Chi, C Miller, S. R Rosales, R. A Sugihara, E. S Akau, J Rytuba, J. J Webb, S. M |
| description | The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, transport, and toxicity of contaminated mining materials. Spectroscopic analyses of size-separated mine tailings and adjacent background samples from the Randsburg Historic Mining District, California were conducted to quantify the speciation and distribution of arsenic (As) as a function of particle size. Micro-X-ray fluorescence (μXRF) mapping of separate size fractions was used to identify multiple populations of particles with different As:Fe ratios, indicating a variety of distinct arsenic-bearing species. Bulk extended X-ray absorption fine structure (EXAFS) spectroscopy identified phases including arseniosiderite, Ca2Fe3 3+(AsO4)3O3·3H2O, and As(V) sorbed to iron hydroxides (ferrihydrite, goethite), confirming a strong statistical correlation between arsenic and iron observed in both μXRF studies and bulk chemical analyses. Differences in As speciation between the mine tailings and background samples also suggest that weathering of crystalline As-bearing phases in tailings leads to sorption of dissolved arsenic to iron hydroxides in nontailings background material. |
| doi_str_mv | 10.1021/es4010653 |
| format | Article |
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S ; Chi, C ; Miller, S. R ; Rosales, R. A ; Sugihara, E. S ; Akau, J ; Rytuba, J. J ; Webb, S. M</creator><creatorcontrib>Kim, C. S ; Chi, C ; Miller, S. R ; Rosales, R. A ; Sugihara, E. S ; Akau, J ; Rytuba, J. J ; Webb, S. M ; Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)</creatorcontrib><description>The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, transport, and toxicity of contaminated mining materials. Spectroscopic analyses of size-separated mine tailings and adjacent background samples from the Randsburg Historic Mining District, California were conducted to quantify the speciation and distribution of arsenic (As) as a function of particle size. Micro-X-ray fluorescence (μXRF) mapping of separate size fractions was used to identify multiple populations of particles with different As:Fe ratios, indicating a variety of distinct arsenic-bearing species. Bulk extended X-ray absorption fine structure (EXAFS) spectroscopy identified phases including arseniosiderite, Ca2Fe3 3+(AsO4)3O3·3H2O, and As(V) sorbed to iron hydroxides (ferrihydrite, goethite), confirming a strong statistical correlation between arsenic and iron observed in both μXRF studies and bulk chemical analyses. Differences in As speciation between the mine tailings and background samples also suggest that weathering of crystalline As-bearing phases in tailings leads to sorption of dissolved arsenic to iron hydroxides in nontailings background material.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es4010653</identifier><identifier>PMID: 23889478</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Absorption ; Applied sciences ; Arsenic ; Arsenic - analysis ; Arsenic - classification ; California ; Crystals ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Exact sciences and technology ; Fluorescence ; Mining ; Other industrial wastes. Sewage sludge ; Particle Size ; Pollution ; Pollution, environment geology ; Risk assessment ; Sorption ; Spectrometry, X-Ray Emission ; Spectrum analysis ; Spectrum Analysis - methods ; Toxicity ; Wastes</subject><ispartof>Environ. Sci. 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S</creatorcontrib><creatorcontrib>Chi, C</creatorcontrib><creatorcontrib>Miller, S. R</creatorcontrib><creatorcontrib>Rosales, R. A</creatorcontrib><creatorcontrib>Sugihara, E. S</creatorcontrib><creatorcontrib>Akau, J</creatorcontrib><creatorcontrib>Rytuba, J. J</creatorcontrib><creatorcontrib>Webb, S. M</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)</creatorcontrib><title>(Micro)spectroscopic Analyses of Particle Size Dependence on Arsenic Distribution and Speciation in Mine Wastes</title><title>Environ. Sci. Technol</title><addtitle>Environ. Sci. Technol</addtitle><description>The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, transport, and toxicity of contaminated mining materials. Spectroscopic analyses of size-separated mine tailings and adjacent background samples from the Randsburg Historic Mining District, California were conducted to quantify the speciation and distribution of arsenic (As) as a function of particle size. Micro-X-ray fluorescence (μXRF) mapping of separate size fractions was used to identify multiple populations of particles with different As:Fe ratios, indicating a variety of distinct arsenic-bearing species. Bulk extended X-ray absorption fine structure (EXAFS) spectroscopy identified phases including arseniosiderite, Ca2Fe3 3+(AsO4)3O3·3H2O, and As(V) sorbed to iron hydroxides (ferrihydrite, goethite), confirming a strong statistical correlation between arsenic and iron observed in both μXRF studies and bulk chemical analyses. Differences in As speciation between the mine tailings and background samples also suggest that weathering of crystalline As-bearing phases in tailings leads to sorption of dissolved arsenic to iron hydroxides in nontailings background material.</description><subject>Absorption</subject><subject>Applied sciences</subject><subject>Arsenic</subject><subject>Arsenic - analysis</subject><subject>Arsenic - classification</subject><subject>California</subject><subject>Crystals</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Exact sciences and technology</subject><subject>Fluorescence</subject><subject>Mining</subject><subject>Other industrial wastes. Sewage sludge</subject><subject>Particle Size</subject><subject>Pollution</subject><subject>Pollution, environment geology</subject><subject>Risk assessment</subject><subject>Sorption</subject><subject>Spectrometry, X-Ray Emission</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis - methods</subject><subject>Toxicity</subject><subject>Wastes</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0VtrFDEUAOAgil1XH_wDEhShfVjNfTKPS-sNWhSq6NuQzZxgymwyzZl5qL_erLuuok_hhI9zJeQpZ684E_w1oGKcGS3vkQXXgq201fw-WTDG5aqV5tsJeYR4wxgTktmH5ERIa1vV2AXJp1fRl3yGI_ipZPR5jJ6ukxvuEJDmQD-5MkU_AL2OP4BewAiph-SB5kTXBSFVfxFxKnEzT7F-utTT65ouul9hTPQqJqBfHU6Aj8mD4AaEJ4d3Sb68ffP5_P3q8uO7D-fry5VTUk6rttHW9kKpvucWAms89EGZHrhnQvTgZTAiBGW13RgwILVRjeJcSC45-CCX5Pk-b8YpdujjBP67zynVMTvObKsbXdHpHo0l386AU7eN6GEYXII8Y8dVKwxTora0JC_-oTd5LnVNOyWY1MKanTrbq7pSxAKhG0vcunJXS3a7U3XHU1X77JBx3myhP8rft6ng5QE49G4IxSUf8Y9rjGxMnfjonMe_uvqv4E_4h6Wv</recordid><startdate>20130806</startdate><enddate>20130806</enddate><creator>Kim, C. S</creator><creator>Chi, C</creator><creator>Miller, S. R</creator><creator>Rosales, R. A</creator><creator>Sugihara, E. S</creator><creator>Akau, J</creator><creator>Rytuba, J. J</creator><creator>Webb, S. M</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>OTOTI</scope></search><sort><creationdate>20130806</creationdate><title>(Micro)spectroscopic Analyses of Particle Size Dependence on Arsenic Distribution and Speciation in Mine Wastes</title><author>Kim, C. S ; Chi, C ; Miller, S. R ; Rosales, R. A ; Sugihara, E. S ; Akau, J ; Rytuba, J. J ; Webb, S. M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a433t-97588d244dd18ef07cedf46de1c022dec3f62ff4858b6e6e3564741123131ecf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Absorption</topic><topic>Applied sciences</topic><topic>Arsenic</topic><topic>Arsenic - analysis</topic><topic>Arsenic - classification</topic><topic>California</topic><topic>Crystals</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Exact sciences and technology</topic><topic>Fluorescence</topic><topic>Mining</topic><topic>Other industrial wastes. Sewage sludge</topic><topic>Particle Size</topic><topic>Pollution</topic><topic>Pollution, environment geology</topic><topic>Risk assessment</topic><topic>Sorption</topic><topic>Spectrometry, X-Ray Emission</topic><topic>Spectrum analysis</topic><topic>Spectrum Analysis - methods</topic><topic>Toxicity</topic><topic>Wastes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, C. S</creatorcontrib><creatorcontrib>Chi, C</creatorcontrib><creatorcontrib>Miller, S. R</creatorcontrib><creatorcontrib>Rosales, R. A</creatorcontrib><creatorcontrib>Sugihara, E. S</creatorcontrib><creatorcontrib>Akau, J</creatorcontrib><creatorcontrib>Rytuba, J. J</creatorcontrib><creatorcontrib>Webb, S. M</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Environ. Sci. Technol</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, C. S</au><au>Chi, C</au><au>Miller, S. R</au><au>Rosales, R. A</au><au>Sugihara, E. S</au><au>Akau, J</au><au>Rytuba, J. J</au><au>Webb, S. M</au><aucorp>Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>(Micro)spectroscopic Analyses of Particle Size Dependence on Arsenic Distribution and Speciation in Mine Wastes</atitle><jtitle>Environ. Sci. Technol</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2013-08-06</date><risdate>2013</risdate><volume>47</volume><issue>15</issue><spage>8164</spage><epage>8171</epage><pages>8164-8171</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, transport, and toxicity of contaminated mining materials. Spectroscopic analyses of size-separated mine tailings and adjacent background samples from the Randsburg Historic Mining District, California were conducted to quantify the speciation and distribution of arsenic (As) as a function of particle size. Micro-X-ray fluorescence (μXRF) mapping of separate size fractions was used to identify multiple populations of particles with different As:Fe ratios, indicating a variety of distinct arsenic-bearing species. Bulk extended X-ray absorption fine structure (EXAFS) spectroscopy identified phases including arseniosiderite, Ca2Fe3 3+(AsO4)3O3·3H2O, and As(V) sorbed to iron hydroxides (ferrihydrite, goethite), confirming a strong statistical correlation between arsenic and iron observed in both μXRF studies and bulk chemical analyses. Differences in As speciation between the mine tailings and background samples also suggest that weathering of crystalline As-bearing phases in tailings leads to sorption of dissolved arsenic to iron hydroxides in nontailings background material.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>23889478</pmid><doi>10.1021/es4010653</doi><tpages>8</tpages></addata></record> |
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| subjects | Absorption Applied sciences Arsenic Arsenic - analysis Arsenic - classification California Crystals Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Fluorescence Mining Other industrial wastes. Sewage sludge Particle Size Pollution Pollution, environment geology Risk assessment Sorption Spectrometry, X-Ray Emission Spectrum analysis Spectrum Analysis - methods Toxicity Wastes |
| title | (Micro)spectroscopic Analyses of Particle Size Dependence on Arsenic Distribution and Speciation in Mine Wastes |
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