Experimental Validation of Quantitative XANES Analysis for Phosphorus Speciation
The quantitative approach used in x-ray absorption spectroscopy (XAS) experiments is oftentimes based on statistical goodness-of-fit criteria, which do not explain the accuracy of the components obtained from the fittings. This study was performed to validate the linear combination (LC) approach use...
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Veröffentlicht in: | Soil Science Society of America journal 2007-07, Vol.71 (4), p.1288-1291 |
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description | The quantitative approach used in x-ray absorption spectroscopy (XAS) experiments is oftentimes based on statistical goodness-of-fit criteria, which do not explain the accuracy of the components obtained from the fittings. This study was performed to validate the linear combination (LC) approach used in quantitative XAS analysis by estimating the accuracy of this procedure. Near-edge Kα1 fluorescence XAS spectra were acquired for known binary mixtures of Ca, Al, and Fe phosphates in varying proportions and for the individual compounds. All combinations of the spectra of model compounds were fitted to the spectra of the known mixtures to obtain their relative abundance. The binary combinations produced the best fit with chi2 values ranging from 0.02 to 0.25. The relative error associated with the fitting ranged from as low as 0.8 to 17% for thoroughly mixed samples. The relative error was small when the proportion of Ca phosphate in the mixture was high but the error was large at low abundance of this component in the mixture. Because the interpretation of the XANES result largely depends on the relative proportion of species in the sample obtained by LC, we therefore recommend acquiring a spectrum for a mixture of certified reference compounds that mimics the composition of the sample being investigated at the beamline to estimate the accuracy of the proportions obtained from quantitative x-ray absorption near-edge structure (XANES) analysis. |
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This study was performed to validate the linear combination (LC) approach used in quantitative XAS analysis by estimating the accuracy of this procedure. Near-edge Kα1 fluorescence XAS spectra were acquired for known binary mixtures of Ca, Al, and Fe phosphates in varying proportions and for the individual compounds. All combinations of the spectra of model compounds were fitted to the spectra of the known mixtures to obtain their relative abundance. The binary combinations produced the best fit with chi2 values ranging from 0.02 to 0.25. The relative error associated with the fitting ranged from as low as 0.8 to 17% for thoroughly mixed samples. The relative error was small when the proportion of Ca phosphate in the mixture was high but the error was large at low abundance of this component in the mixture. Because the interpretation of the XANES result largely depends on the relative proportion of species in the sample obtained by LC, we therefore recommend acquiring a spectrum for a mixture of certified reference compounds that mimics the composition of the sample being investigated at the beamline to estimate the accuracy of the proportions obtained from quantitative x-ray absorption near-edge structure (XANES) analysis.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj2007.0007</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison: Soil Science Society</publisher><subject>Absorption spectroscopy ; abundance ; Accuracy ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; chemical analysis ; Chemicals ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; hydroxyapatite ; mixtures ; NMR ; Nuclear magnetic resonance ; phosphorus ; phosphosiderite ; Principal components analysis ; quantitative analysis ; Relative abundance ; soil analysis ; soil chemical properties ; soil chemistry ; Soil science ; Soils ; Speciation ; spectral analysis ; statistical analysis ; Surficial geology ; variscite ; X-ray fluorescence spectroscopy</subject><ispartof>Soil Science Society of America journal, 2007-07, Vol.71 (4), p.1288-1291</ispartof><rights>Soil Science Society of America</rights><rights>2008 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jul/Aug 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4717-78ceac0b79e7f371037bffcac910ca62aeaae6792730c9596e4807eac6160063</citedby><cites>FETCH-LOGICAL-c4717-78ceac0b79e7f371037bffcac910ca62aeaae6792730c9596e4807eac6160063</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj2007.0007$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj2007.0007$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18929866$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ajiboye, B</creatorcontrib><creatorcontrib>Akinremi, O.O</creatorcontrib><creatorcontrib>Jürgensen, A</creatorcontrib><title>Experimental Validation of Quantitative XANES Analysis for Phosphorus Speciation</title><title>Soil Science Society of America journal</title><description>The quantitative approach used in x-ray absorption spectroscopy (XAS) experiments is oftentimes based on statistical goodness-of-fit criteria, which do not explain the accuracy of the components obtained from the fittings. This study was performed to validate the linear combination (LC) approach used in quantitative XAS analysis by estimating the accuracy of this procedure. Near-edge Kα1 fluorescence XAS spectra were acquired for known binary mixtures of Ca, Al, and Fe phosphates in varying proportions and for the individual compounds. All combinations of the spectra of model compounds were fitted to the spectra of the known mixtures to obtain their relative abundance. The binary combinations produced the best fit with chi2 values ranging from 0.02 to 0.25. The relative error associated with the fitting ranged from as low as 0.8 to 17% for thoroughly mixed samples. The relative error was small when the proportion of Ca phosphate in the mixture was high but the error was large at low abundance of this component in the mixture. Because the interpretation of the XANES result largely depends on the relative proportion of species in the sample obtained by LC, we therefore recommend acquiring a spectrum for a mixture of certified reference compounds that mimics the composition of the sample being investigated at the beamline to estimate the accuracy of the proportions obtained from quantitative x-ray absorption near-edge structure (XANES) analysis.</description><subject>Absorption spectroscopy</subject><subject>abundance</subject><subject>Accuracy</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>chemical analysis</subject><subject>Chemicals</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>hydroxyapatite</subject><subject>mixtures</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>phosphorus</subject><subject>phosphosiderite</subject><subject>Principal components analysis</subject><subject>quantitative analysis</subject><subject>Relative abundance</subject><subject>soil analysis</subject><subject>soil chemical properties</subject><subject>soil chemistry</subject><subject>Soil science</subject><subject>Soils</subject><subject>Speciation</subject><subject>spectral analysis</subject><subject>statistical analysis</subject><subject>Surficial geology</subject><subject>variscite</subject><subject>X-ray fluorescence spectroscopy</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1v1DAQxS0EEkvLlSsREnDKMo4TOz5wWFXLl6pSlIK4WVNjU6_SOPUklP3v8bKrInGAy1ij-b33NB7GnnBYVlzIV0SEmwpALSGXe2zBa9GUICW_zxYgJC8brZuH7BHRBoA3GmDBztc_R5fCtRsm7Isv2IdvOIU4FNEXn2YcpjDl_ocrvq7O1l2xGrDfUqDCx1ScX0Uar2KaqehGZ8Nv4TF74LEn9_jwHrGLN-uLk3fl6ce3709Wp6WtFVelaq1DC5dKO-WF4iDUpfcWreZgUVboEJ1UulICrG60dHULKksklwBSHLGXe9sxxZvZ0WSuA1nX9zi4OJNReXelNNSZfPFPUkgBulEig8_-AjdxTnlhMlUObeq61hla7iGbIlFy3oz59zBtDQezO4O5O4PZnSELnh9ckSz2PuFgA_1RtbrSrdwt9HrP3Ybebf_jarrVh6rrdjV3h5yne73HaPB7yhmfuwq4yMNWawniF_N-o74</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Ajiboye, B</creator><creator>Akinremi, O.O</creator><creator>Jürgensen, A</creator><general>Soil Science Society</general><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>200707</creationdate><title>Experimental Validation of Quantitative XANES Analysis for Phosphorus Speciation</title><author>Ajiboye, B ; Akinremi, O.O ; Jürgensen, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4717-78ceac0b79e7f371037bffcac910ca62aeaae6792730c9596e4807eac6160063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Absorption spectroscopy</topic><topic>abundance</topic><topic>Accuracy</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>chemical analysis</topic><topic>Chemicals</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>hydroxyapatite</topic><topic>mixtures</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>phosphorus</topic><topic>phosphosiderite</topic><topic>Principal components analysis</topic><topic>quantitative analysis</topic><topic>Relative abundance</topic><topic>soil analysis</topic><topic>soil chemical properties</topic><topic>soil chemistry</topic><topic>Soil science</topic><topic>Soils</topic><topic>Speciation</topic><topic>spectral analysis</topic><topic>statistical analysis</topic><topic>Surficial geology</topic><topic>variscite</topic><topic>X-ray fluorescence spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ajiboye, B</creatorcontrib><creatorcontrib>Akinremi, O.O</creatorcontrib><creatorcontrib>Jürgensen, A</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ajiboye, B</au><au>Akinremi, O.O</au><au>Jürgensen, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Experimental Validation of Quantitative XANES Analysis for Phosphorus Speciation</atitle><jtitle>Soil Science Society of America journal</jtitle><date>2007-07</date><risdate>2007</risdate><volume>71</volume><issue>4</issue><spage>1288</spage><epage>1291</epage><pages>1288-1291</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>The quantitative approach used in x-ray absorption spectroscopy (XAS) experiments is oftentimes based on statistical goodness-of-fit criteria, which do not explain the accuracy of the components obtained from the fittings. This study was performed to validate the linear combination (LC) approach used in quantitative XAS analysis by estimating the accuracy of this procedure. Near-edge Kα1 fluorescence XAS spectra were acquired for known binary mixtures of Ca, Al, and Fe phosphates in varying proportions and for the individual compounds. All combinations of the spectra of model compounds were fitted to the spectra of the known mixtures to obtain their relative abundance. The binary combinations produced the best fit with chi2 values ranging from 0.02 to 0.25. The relative error associated with the fitting ranged from as low as 0.8 to 17% for thoroughly mixed samples. The relative error was small when the proportion of Ca phosphate in the mixture was high but the error was large at low abundance of this component in the mixture. Because the interpretation of the XANES result largely depends on the relative proportion of species in the sample obtained by LC, we therefore recommend acquiring a spectrum for a mixture of certified reference compounds that mimics the composition of the sample being investigated at the beamline to estimate the accuracy of the proportions obtained from quantitative x-ray absorption near-edge structure (XANES) analysis.</abstract><cop>Madison</cop><pub>Soil Science Society</pub><doi>10.2136/sssaj2007.0007</doi><tpages>4</tpages></addata></record> |
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subjects | Absorption spectroscopy abundance Accuracy Agronomy. Soil science and plant productions Biological and medical sciences chemical analysis Chemicals Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology hydroxyapatite mixtures NMR Nuclear magnetic resonance phosphorus phosphosiderite Principal components analysis quantitative analysis Relative abundance soil analysis soil chemical properties soil chemistry Soil science Soils Speciation spectral analysis statistical analysis Surficial geology variscite X-ray fluorescence spectroscopy |
title | Experimental Validation of Quantitative XANES Analysis for Phosphorus Speciation |
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