LC- and GC-QTOF-MS as Complementary Tools for a Comprehensive Micropollutant Analysis in Aquatic Systems
Efficient strategies are required to implement comprehensive suspect screening methods using high-resolution mass spectrometry within environmental monitoring campaigns. In this study, both liquid and gas chromatography time-of-flight mass spectrometry (LC-QTOF-MS and GC-QTOF-MS) were used to screen...
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Veröffentlicht in: | Environmental science & technology 2017-02, Vol.51 (3), p.1553-1561 |
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creator | Moschet, Christoph Lew, Bonny M Hasenbein, Simone Anumol, Tarun Young, Thomas M |
description | Efficient strategies are required to implement comprehensive suspect screening methods using high-resolution mass spectrometry within environmental monitoring campaigns. In this study, both liquid and gas chromatography time-of-flight mass spectrometry (LC-QTOF-MS and GC-QTOF-MS) were used to screen for >5000 target and suspect compounds in the Sacramento–San Joaquin River Delta in Northern California. LC-QTOF-MS data were acquired in All-Ions fragmentation mode in both positive and negative electrospray ionization (ESI). LC suspects were identified using two accurate mass LC-QTOF-MS/MS libraries containing pesticides, pharmaceuticals, and other environmental contaminants and a custom exact mass database with predicted transformation products (TPs). The additional fragment information from the All-Ions acquisition improved the confirmation of the compound identity, with a low false positive rate (9%). Overall, 25 targets, 73 suspects, and 5 TPs were detected. GC-QTOF-MS extracts were run in negative chemical ionization (NCI) for 21 targets (mainly pyrethroids) at sub-ng/L levels. For suspect screening, extracts were rerun in electron ionization (EI) mode with a retention time locked method using a GC-QTOF-MS pesticide library (containing exact mass fragments and retention times). Sixteen targets and 42 suspects were detected, of which 12 and 17, respectively, were not identified by LC-ESI-QTOF-MS. The results highlight the importance of analyzing water samples using multiple separation techniques and in multiple ionization modes to obtain a comprehensive chemical contaminant profile. The investigated river delta experiences significant pesticide inputs, leading to environmentally critical concentrations during rain events. |
doi_str_mv | 10.1021/acs.est.6b05352 |
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For suspect screening, extracts were rerun in electron ionization (EI) mode with a retention time locked method using a GC-QTOF-MS pesticide library (containing exact mass fragments and retention times). Sixteen targets and 42 suspects were detected, of which 12 and 17, respectively, were not identified by LC-ESI-QTOF-MS. The results highlight the importance of analyzing water samples using multiple separation techniques and in multiple ionization modes to obtain a comprehensive chemical contaminant profile. 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Sci. Technol</addtitle><description>Efficient strategies are required to implement comprehensive suspect screening methods using high-resolution mass spectrometry within environmental monitoring campaigns. In this study, both liquid and gas chromatography time-of-flight mass spectrometry (LC-QTOF-MS and GC-QTOF-MS) were used to screen for >5000 target and suspect compounds in the Sacramento–San Joaquin River Delta in Northern California. LC-QTOF-MS data were acquired in All-Ions fragmentation mode in both positive and negative electrospray ionization (ESI). LC suspects were identified using two accurate mass LC-QTOF-MS/MS libraries containing pesticides, pharmaceuticals, and other environmental contaminants and a custom exact mass database with predicted transformation products (TPs). The additional fragment information from the All-Ions acquisition improved the confirmation of the compound identity, with a low false positive rate (9%). Overall, 25 targets, 73 suspects, and 5 TPs were detected. GC-QTOF-MS extracts were run in negative chemical ionization (NCI) for 21 targets (mainly pyrethroids) at sub-ng/L levels. For suspect screening, extracts were rerun in electron ionization (EI) mode with a retention time locked method using a GC-QTOF-MS pesticide library (containing exact mass fragments and retention times). Sixteen targets and 42 suspects were detected, of which 12 and 17, respectively, were not identified by LC-ESI-QTOF-MS. The results highlight the importance of analyzing water samples using multiple separation techniques and in multiple ionization modes to obtain a comprehensive chemical contaminant profile. The investigated river delta experiences significant pesticide inputs, leading to environmentally critical concentrations during rain events.</description><subject>Chromatography</subject><subject>Chromatography, Liquid</subject><subject>Environmental monitoring</subject><subject>Gas Chromatography-Mass Spectrometry</subject><subject>Ions</subject><subject>Mass spectrometry</subject><subject>Pesticides</subject><subject>Rivers</subject><subject>Scientific imaging</subject><subject>Tandem Mass Spectrometry</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkd2LEzEUxYMobq0--yYBXxZkujfJZJJ5EcrgrkKXRbaCbyHNJHaWzKSbzCz0vze1df0Awac83N85ufcchF4TWBCg5EKbtLBpXFQb4IzTJ2hGOIWCS06eohkAYUXNqq9n6EVKdwBAGcjn6IxKoFXNYYa2q6bAemjxVVN8Xt9cFte3WCfchH7nbW-HUcc9XofgE3YhYv1jEu3WDql7sPi6MzHsgvfTqIcRLwft96lLuBvw8n7SY2fw7T6Ntk8v0TOnfbKvTu8cfbn8sG4-Fqubq0_NclVoTsVYlLXUG8eN1AbqltiW1VRsmHSsKsuyrcABdY4BSOGoYI6yFixwamrCKmMZm6P3R9_dtOlta_IJUXu1i12fT1FBd-rPydBt1bfwoARlUso6G5yfDGK4n3K4qu-Ssd7rwYYpKSKFkEQIgP9AORMloXm3OXr7F3oXppjjOlCVIKSmsszUxZHKqaYUrXvcm4A6FK5y4eqgPhWeFW9-P_eR_9lwBt4dgYPy15__sPsOjAm1ug</recordid><startdate>20170207</startdate><enddate>20170207</enddate><creator>Moschet, Christoph</creator><creator>Lew, Bonny M</creator><creator>Hasenbein, Simone</creator><creator>Anumol, Tarun</creator><creator>Young, Thomas M</creator><general>American Chemical Society</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>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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7217-4753</orcidid></search><sort><creationdate>20170207</creationdate><title>LC- and GC-QTOF-MS as Complementary Tools for a Comprehensive Micropollutant Analysis in Aquatic Systems</title><author>Moschet, Christoph ; Lew, Bonny M ; Hasenbein, Simone ; Anumol, Tarun ; Young, Thomas M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a527t-498abf5c8ac09d1ed3927b38f36444d60f02ff30087f273f23d0e052c9136ce33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Chromatography</topic><topic>Chromatography, Liquid</topic><topic>Environmental monitoring</topic><topic>Gas Chromatography-Mass Spectrometry</topic><topic>Ions</topic><topic>Mass spectrometry</topic><topic>Pesticides</topic><topic>Rivers</topic><topic>Scientific imaging</topic><topic>Tandem Mass Spectrometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moschet, Christoph</creatorcontrib><creatorcontrib>Lew, Bonny M</creatorcontrib><creatorcontrib>Hasenbein, Simone</creatorcontrib><creatorcontrib>Anumol, Tarun</creatorcontrib><creatorcontrib>Young, Thomas M</creatorcontrib><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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moschet, Christoph</au><au>Lew, Bonny M</au><au>Hasenbein, Simone</au><au>Anumol, Tarun</au><au>Young, Thomas M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LC- and GC-QTOF-MS as Complementary Tools for a Comprehensive Micropollutant Analysis in Aquatic Systems</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2017-02-07</date><risdate>2017</risdate><volume>51</volume><issue>3</issue><spage>1553</spage><epage>1561</epage><pages>1553-1561</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>Efficient strategies are required to implement comprehensive suspect screening methods using high-resolution mass spectrometry within environmental monitoring campaigns. In this study, both liquid and gas chromatography time-of-flight mass spectrometry (LC-QTOF-MS and GC-QTOF-MS) were used to screen for >5000 target and suspect compounds in the Sacramento–San Joaquin River Delta in Northern California. LC-QTOF-MS data were acquired in All-Ions fragmentation mode in both positive and negative electrospray ionization (ESI). LC suspects were identified using two accurate mass LC-QTOF-MS/MS libraries containing pesticides, pharmaceuticals, and other environmental contaminants and a custom exact mass database with predicted transformation products (TPs). The additional fragment information from the All-Ions acquisition improved the confirmation of the compound identity, with a low false positive rate (9%). Overall, 25 targets, 73 suspects, and 5 TPs were detected. GC-QTOF-MS extracts were run in negative chemical ionization (NCI) for 21 targets (mainly pyrethroids) at sub-ng/L levels. For suspect screening, extracts were rerun in electron ionization (EI) mode with a retention time locked method using a GC-QTOF-MS pesticide library (containing exact mass fragments and retention times). Sixteen targets and 42 suspects were detected, of which 12 and 17, respectively, were not identified by LC-ESI-QTOF-MS. 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subjects | Chromatography Chromatography, Liquid Environmental monitoring Gas Chromatography-Mass Spectrometry Ions Mass spectrometry Pesticides Rivers Scientific imaging Tandem Mass Spectrometry |
title | LC- and GC-QTOF-MS as Complementary Tools for a Comprehensive Micropollutant Analysis in Aquatic Systems |
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