Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation–emission matrices and PARAFAC
Natural organic matter (NOM) in water samples from a drinking water treatment train was characterized using fluorescence excitation emission matrices (F-EEMs) and parallel factor analysis (PARAFAC). A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from tw...
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| Veröffentlicht in: | Water research (Oxford) 2011-01, Vol.45 (2), p.797-809 |
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| description | Natural organic matter (NOM) in water samples from a drinking water treatment train was characterized using fluorescence excitation emission matrices (F-EEMs) and parallel factor analysis (PARAFAC). A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from two full-scale water treatment plants. It was found that the fluorescent components have spectral features similar to those previously extracted from F-EEMs of dissolved organic matter (DOM) from diverse aquatic environments. Five of these components are humic-like with a terrestrial, anthropogenic or marine origin, while two are protein-like with fluorescence spectra similar to those of tryptophan-like and tyrosine-like fluorophores. A correlation analysis was carried out for samples of one treatment plant between the maximum fluorescence intensities (Fmax) of the seven PARAFAC components and NOM fractions (humics, building blocks, neutrals, biopolymers and low molecular weight acids) of the same sample obtained using liquid chromatography with organic carbon detection (LC-OCD). There were significant correlations (p |
| doi_str_mv | 10.1016/j.watres.2010.09.005 |
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A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from two full-scale water treatment plants. It was found that the fluorescent components have spectral features similar to those previously extracted from F-EEMs of dissolved organic matter (DOM) from diverse aquatic environments. Five of these components are humic-like with a terrestrial, anthropogenic or marine origin, while two are protein-like with fluorescence spectra similar to those of tryptophan-like and tyrosine-like fluorophores. A correlation analysis was carried out for samples of one treatment plant between the maximum fluorescence intensities (Fmax) of the seven PARAFAC components and NOM fractions (humics, building blocks, neutrals, biopolymers and low molecular weight acids) of the same sample obtained using liquid chromatography with organic carbon detection (LC-OCD). There were significant correlations (p < 0.01) between sample DOC concentration, UVA254, and Fmax for the seven PARAFAC components and DOC concentrations of the LC-OCD fractions. Three of the humic-like components showed slightly better predictions of DOC and humic fraction concentrations than UVA254. Tryptophan-like and tyrosine-like components correlated positively with the biopolymer fraction. 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A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from two full-scale water treatment plants. It was found that the fluorescent components have spectral features similar to those previously extracted from F-EEMs of dissolved organic matter (DOM) from diverse aquatic environments. Five of these components are humic-like with a terrestrial, anthropogenic or marine origin, while two are protein-like with fluorescence spectra similar to those of tryptophan-like and tyrosine-like fluorophores. A correlation analysis was carried out for samples of one treatment plant between the maximum fluorescence intensities (Fmax) of the seven PARAFAC components and NOM fractions (humics, building blocks, neutrals, biopolymers and low molecular weight acids) of the same sample obtained using liquid chromatography with organic carbon detection (LC-OCD). There were significant correlations (p < 0.01) between sample DOC concentration, UVA254, and Fmax for the seven PARAFAC components and DOC concentrations of the LC-OCD fractions. Three of the humic-like components showed slightly better predictions of DOC and humic fraction concentrations than UVA254. Tryptophan-like and tyrosine-like components correlated positively with the biopolymer fraction. These results demonstrate that fluorescent components extracted from F-EEMs using PARAFAC could be related to previously defined NOM fractions and that they could provide an alternative tool for evaluating the removal of NOM fractions of interest during water treatment.</description><subject>acids</subject><subject>Amino Acids - analysis</subject><subject>Applied sciences</subject><subject>aquatic environment</subject><subject>biopolymers</subject><subject>carbon</subject><subject>correlation</subject><subject>dissolved organic matter</subject><subject>Exact sciences and technology</subject><subject>Factor Analysis, Statistical</subject><subject>fluorescence</subject><subject>Humic Substances - analysis</subject><subject>liquid chromatography</subject><subject>molecular weight</subject><subject>Natural organic matter</subject><subject>Organic Chemicals - analysis</subject><subject>Parallel factor analysis</subject><subject>Pollution</subject><subject>prediction</subject><subject>Proteins - analysis</subject><subject>Size exclusion chromatography</subject><subject>Spectrometry, Fluorescence - methods</subject><subject>Water Purification</subject><subject>Water Supply - analysis</subject><subject>water treatment</subject><subject>Water treatment and pollution</subject><issn>0043-1354</issn><issn>1879-2448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkcuO1DAQRSMEYpqBP0DgDQIWacqvxNkgtVoMIA0Mgpm1VXGclps8GtvhsWPHB_CHfAkOaWCH2NiW61Tda98su0thTYEWT_brTxi9DWsG6QqqNYC8lq2oKqucCaGuZysAwXPKpTjJboWwBwDGeHUzO2GgVEUVXWXfLj2a927YkQHj5LEjo9_h4AzpMUbryaPXF68eEzcQJI13wy80CadKEsfY2yGSQ4dpncJca7tpTK6MHYwl9rNxEaMbhx9fv9vehZCO82TvjA0Eh4a82bzdnG22t7MbLXbB3jnup9nV2bPL7Yv8_OL5y-3mPDeS8phjKVHIUiiGqDirCihkU8pGGCgpZbUSJbQcCqiMqMuaK4qcqdoYURgJnPPT7OEy9-DHD5MNUSdXxnbpBXacglYFcMWr6j9IRoUqlVSJFAtp_BiCt60-eNej_6Ip6DkrvddLVnrOSkOlU1ap7d5RYKp72_xp-h1OAh4cAQwGu9bjYFz4y_FSQilE4u4vXIujxp1PzNW7pCRT4BSkYol4uhA2fe1HZ70Oxs0JNc5bE3Uzun97_QlPH74U</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Baghoth, S.A.</creator><creator>Sharma, S.K.</creator><creator>Amy, G.L.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><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>7X8</scope><scope>7QH</scope><scope>7ST</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>201101</creationdate><title>Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation–emission matrices and PARAFAC</title><author>Baghoth, S.A. ; Sharma, S.K. ; Amy, G.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-a75a457482aa83296065d75d4c07112b8470f30609c4b7b381a328bcc46c50333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>acids</topic><topic>Amino Acids - analysis</topic><topic>Applied sciences</topic><topic>aquatic environment</topic><topic>biopolymers</topic><topic>carbon</topic><topic>correlation</topic><topic>dissolved organic matter</topic><topic>Exact sciences and technology</topic><topic>Factor Analysis, Statistical</topic><topic>fluorescence</topic><topic>Humic Substances - analysis</topic><topic>liquid chromatography</topic><topic>molecular weight</topic><topic>Natural organic matter</topic><topic>Organic Chemicals - analysis</topic><topic>Parallel factor analysis</topic><topic>Pollution</topic><topic>prediction</topic><topic>Proteins - analysis</topic><topic>Size exclusion chromatography</topic><topic>Spectrometry, Fluorescence - methods</topic><topic>Water Purification</topic><topic>Water Supply - analysis</topic><topic>water treatment</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baghoth, S.A.</creatorcontrib><creatorcontrib>Sharma, S.K.</creatorcontrib><creatorcontrib>Amy, G.L.</creatorcontrib><collection>AGRIS</collection><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>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Water research (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baghoth, S.A.</au><au>Sharma, S.K.</au><au>Amy, G.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation–emission matrices and PARAFAC</atitle><jtitle>Water research (Oxford)</jtitle><addtitle>Water Res</addtitle><date>2011-01</date><risdate>2011</risdate><volume>45</volume><issue>2</issue><spage>797</spage><epage>809</epage><pages>797-809</pages><issn>0043-1354</issn><eissn>1879-2448</eissn><coden>WATRAG</coden><abstract>Natural organic matter (NOM) in water samples from a drinking water treatment train was characterized using fluorescence excitation emission matrices (F-EEMs) and parallel factor analysis (PARAFAC). A seven component PARAFAC model was developed and validated using 147 F-EEMs of water samples from two full-scale water treatment plants. It was found that the fluorescent components have spectral features similar to those previously extracted from F-EEMs of dissolved organic matter (DOM) from diverse aquatic environments. Five of these components are humic-like with a terrestrial, anthropogenic or marine origin, while two are protein-like with fluorescence spectra similar to those of tryptophan-like and tyrosine-like fluorophores. A correlation analysis was carried out for samples of one treatment plant between the maximum fluorescence intensities (Fmax) of the seven PARAFAC components and NOM fractions (humics, building blocks, neutrals, biopolymers and low molecular weight acids) of the same sample obtained using liquid chromatography with organic carbon detection (LC-OCD). There were significant correlations (p < 0.01) between sample DOC concentration, UVA254, and Fmax for the seven PARAFAC components and DOC concentrations of the LC-OCD fractions. Three of the humic-like components showed slightly better predictions of DOC and humic fraction concentrations than UVA254. Tryptophan-like and tyrosine-like components correlated positively with the biopolymer fraction. These results demonstrate that fluorescent components extracted from F-EEMs using PARAFAC could be related to previously defined NOM fractions and that they could provide an alternative tool for evaluating the removal of NOM fractions of interest during water treatment.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>20889181</pmid><doi>10.1016/j.watres.2010.09.005</doi><tpages>13</tpages></addata></record> |
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| subjects | acids Amino Acids - analysis Applied sciences aquatic environment biopolymers carbon correlation dissolved organic matter Exact sciences and technology Factor Analysis, Statistical fluorescence Humic Substances - analysis liquid chromatography molecular weight Natural organic matter Organic Chemicals - analysis Parallel factor analysis Pollution prediction Proteins - analysis Size exclusion chromatography Spectrometry, Fluorescence - methods Water Purification Water Supply - analysis water treatment Water treatment and pollution |
| title | Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation–emission matrices and PARAFAC |
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