Distribution patterns of arsenic species in a lichen biomonitor
As stand-alone approaches, chromatographic separations of arsenic in lichen using HPLC-ICP-MS or the use of sequential extractions have historically been shown to have low analyte recoveries and poor analyte selectivity respectively. This study modifies the first step of a sequential extraction with...
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| Veröffentlicht in: | Chemosphere (Oxford) 2020-07, Vol.250, p.126199-126199, Article 126199 |
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| creator | Kroukamp, E.M. Godeto, T.W. Forbes, P.B.C. |
| description | As stand-alone approaches, chromatographic separations of arsenic in lichen using HPLC-ICP-MS or the use of sequential extractions have historically been shown to have low analyte recoveries and poor analyte selectivity respectively. This study modifies the first step of a sequential extraction with a chromatographic separation of five arsenic species using HPLC-ICP-MS, followed by a three-step sequential extraction and analysis with ICP-MS. The method was applied to lichens from a rural and urban site to demonstrate the applicability thereof, and the sum of arsenic concentrations from the extraction steps were compared to the total arsenic concentrations. Short term species stability of the As species in the lichen matrix was also evaluated over 1 month in the water-extractable fraction, where As species concentrations changed week by week, providing insight into biotransformation mechanisms. In the modified extraction step, dimethylarsinic acid (DMA) and arsenobetaine and an unknown As species (AsB + U1) were statistically (p reducible > water-extractable > residual. Concentrations of total As in the oxidizable and non-bioavailable fraction were statistically lower (p |
| doi_str_mv | 10.1016/j.chemosphere.2020.126199 |
| format | Article |
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•Combined species separation techniques improves species selectivity.•HPLC-ICP-MS followed by sequential extraction improves As recoveries in lichens.•Metabolization of As by lichens provides information on timing of pollutant events.•P. austrosinense likely reduces As bound to carbonates and oxides using oxalic acid.</description><identifier>ISSN: 0045-6535</identifier><identifier>EISSN: 1879-1298</identifier><identifier>DOI: 10.1016/j.chemosphere.2020.126199</identifier><identifier>PMID: 32092568</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air pollution ; Arsenic - analysis ; Arsenic - metabolism ; Arsenic species ; Arsenicals ; Biomonitoring ; Cacodylic Acid - analysis ; Chromatography, High Pressure Liquid - methods ; Environmental Pollutants - metabolism ; HPLC-ICP-MS ; Lichens ; Lichens - metabolism ; Mass Spectrometry - methods ; Sequential extraction</subject><ispartof>Chemosphere (Oxford), 2020-07, Vol.250, p.126199-126199, Article 126199</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-73feee609d34e2702b06ad8a90c5620371d77e9f2fc3fa3ec945dfb85b2c00143</citedby><cites>FETCH-LOGICAL-c377t-73feee609d34e2702b06ad8a90c5620371d77e9f2fc3fa3ec945dfb85b2c00143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.chemosphere.2020.126199$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32092568$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kroukamp, E.M.</creatorcontrib><creatorcontrib>Godeto, T.W.</creatorcontrib><creatorcontrib>Forbes, P.B.C.</creatorcontrib><title>Distribution patterns of arsenic species in a lichen biomonitor</title><title>Chemosphere (Oxford)</title><addtitle>Chemosphere</addtitle><description>As stand-alone approaches, chromatographic separations of arsenic in lichen using HPLC-ICP-MS or the use of sequential extractions have historically been shown to have low analyte recoveries and poor analyte selectivity respectively. This study modifies the first step of a sequential extraction with a chromatographic separation of five arsenic species using HPLC-ICP-MS, followed by a three-step sequential extraction and analysis with ICP-MS. The method was applied to lichens from a rural and urban site to demonstrate the applicability thereof, and the sum of arsenic concentrations from the extraction steps were compared to the total arsenic concentrations. Short term species stability of the As species in the lichen matrix was also evaluated over 1 month in the water-extractable fraction, where As species concentrations changed week by week, providing insight into biotransformation mechanisms. In the modified extraction step, dimethylarsinic acid (DMA) and arsenobetaine and an unknown As species (AsB + U1) were statistically (p < 0.05) higher in the urban site than the rural site. Analyte recoveries using the combined method were higher than other studies reported in literature, with percentage recoveries of 104% and 111% of As in the urban and rural sites respectively. Arsenic concentrations were found in the following order of abundance at both sites: oxidizable > reducible > water-extractable > residual. Concentrations of total As in the oxidizable and non-bioavailable fraction were statistically lower (p < 0.05) in the rural site than in the urban site. Based upon the information gained from this study, we could draw concise conclusions regarding the source apportionment, timing and the magnitude of the pollution event.
•Combined species separation techniques improves species selectivity.•HPLC-ICP-MS followed by sequential extraction improves As recoveries in lichens.•Metabolization of As by lichens provides information on timing of pollutant events.•P. austrosinense likely reduces As bound to carbonates and oxides using oxalic acid.</description><subject>Air pollution</subject><subject>Arsenic - analysis</subject><subject>Arsenic - metabolism</subject><subject>Arsenic species</subject><subject>Arsenicals</subject><subject>Biomonitoring</subject><subject>Cacodylic Acid - analysis</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Environmental Pollutants - metabolism</subject><subject>HPLC-ICP-MS</subject><subject>Lichens</subject><subject>Lichens - metabolism</subject><subject>Mass Spectrometry - methods</subject><subject>Sequential extraction</subject><issn>0045-6535</issn><issn>1879-1298</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkM1KxDAURoMozjj6ChJ3bjqmSZM2K5HxFwbc6Dqk6Q2TYdrUpBV8ezN0FJeuLoTz5bv3IHSVk2VOcnGzXZoNtD72GwiwpISmdypyKY_QPK9KmeVUVsdoTkjBM8EZn6GzGLeEpDCXp2jGKJGUi2qObu9dHIKrx8H5Dvd6GCB0EXuLdYjQOYNjD8ZBxK7DGu9cau5w7XzrOzf4cI5OrN5FuDjMBXp_fHhbPWfr16eX1d06M6wsh6xkFgAEkQ0rgJaE1kToptKSGC4oYWXelCVIS61hVjMwsuCNrSteU5O2LtgCXU__9sF_jBAH1bpoYLfTHfgxKspEQRiVjCRUTqgJPsYAVvXBtTp8qZyovT-1VX_8qb0_NflL2ctDzVi30Pwmf4QlYDUBkI79dBBUTHY6A40LYAbVePePmm_KFYd0</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Kroukamp, E.M.</creator><creator>Godeto, T.W.</creator><creator>Forbes, P.B.C.</creator><general>Elsevier Ltd</general><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>7X8</scope></search><sort><creationdate>202007</creationdate><title>Distribution patterns of arsenic species in a lichen biomonitor</title><author>Kroukamp, E.M. ; Godeto, T.W. ; Forbes, P.B.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-73feee609d34e2702b06ad8a90c5620371d77e9f2fc3fa3ec945dfb85b2c00143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air pollution</topic><topic>Arsenic - analysis</topic><topic>Arsenic - metabolism</topic><topic>Arsenic species</topic><topic>Arsenicals</topic><topic>Biomonitoring</topic><topic>Cacodylic Acid - analysis</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Environmental Pollutants - metabolism</topic><topic>HPLC-ICP-MS</topic><topic>Lichens</topic><topic>Lichens - metabolism</topic><topic>Mass Spectrometry - methods</topic><topic>Sequential extraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kroukamp, E.M.</creatorcontrib><creatorcontrib>Godeto, T.W.</creatorcontrib><creatorcontrib>Forbes, P.B.C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Chemosphere (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kroukamp, E.M.</au><au>Godeto, T.W.</au><au>Forbes, P.B.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distribution patterns of arsenic species in a lichen biomonitor</atitle><jtitle>Chemosphere (Oxford)</jtitle><addtitle>Chemosphere</addtitle><date>2020-07</date><risdate>2020</risdate><volume>250</volume><spage>126199</spage><epage>126199</epage><pages>126199-126199</pages><artnum>126199</artnum><issn>0045-6535</issn><eissn>1879-1298</eissn><abstract>As stand-alone approaches, chromatographic separations of arsenic in lichen using HPLC-ICP-MS or the use of sequential extractions have historically been shown to have low analyte recoveries and poor analyte selectivity respectively. This study modifies the first step of a sequential extraction with a chromatographic separation of five arsenic species using HPLC-ICP-MS, followed by a three-step sequential extraction and analysis with ICP-MS. The method was applied to lichens from a rural and urban site to demonstrate the applicability thereof, and the sum of arsenic concentrations from the extraction steps were compared to the total arsenic concentrations. Short term species stability of the As species in the lichen matrix was also evaluated over 1 month in the water-extractable fraction, where As species concentrations changed week by week, providing insight into biotransformation mechanisms. In the modified extraction step, dimethylarsinic acid (DMA) and arsenobetaine and an unknown As species (AsB + U1) were statistically (p < 0.05) higher in the urban site than the rural site. Analyte recoveries using the combined method were higher than other studies reported in literature, with percentage recoveries of 104% and 111% of As in the urban and rural sites respectively. Arsenic concentrations were found in the following order of abundance at both sites: oxidizable > reducible > water-extractable > residual. Concentrations of total As in the oxidizable and non-bioavailable fraction were statistically lower (p < 0.05) in the rural site than in the urban site. Based upon the information gained from this study, we could draw concise conclusions regarding the source apportionment, timing and the magnitude of the pollution event.
•Combined species separation techniques improves species selectivity.•HPLC-ICP-MS followed by sequential extraction improves As recoveries in lichens.•Metabolization of As by lichens provides information on timing of pollutant events.•P. austrosinense likely reduces As bound to carbonates and oxides using oxalic acid.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32092568</pmid><doi>10.1016/j.chemosphere.2020.126199</doi><tpages>1</tpages></addata></record> |
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| subjects | Air pollution Arsenic - analysis Arsenic - metabolism Arsenic species Arsenicals Biomonitoring Cacodylic Acid - analysis Chromatography, High Pressure Liquid - methods Environmental Pollutants - metabolism HPLC-ICP-MS Lichens Lichens - metabolism Mass Spectrometry - methods Sequential extraction |
| title | Distribution patterns of arsenic species in a lichen biomonitor |
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