{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T04:07:15Z","timestamp":1782187635064,"version":"3.54.5"},"publisher-location":"New York, NY","reference-count":32,"publisher":"Springer US","isbn-type":[{"value":"9781071641156","type":"print"},{"value":"9781071641163","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T00:00:00Z","timestamp":1727827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T00:00:00Z","timestamp":1727827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-1-0716-4116-3_3","type":"book-chapter","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T20:21:05Z","timestamp":1727814065000},"page":"41-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Modular, Scalable, and Customizable LC-HRMS for Exposomics"],"prefix":"10.1007","author":[{"given":"Vinicius Verri","family":"Hernandes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benedikt","family":"Warth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,2]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"D1373","DOI":"10.1093\/nar\/gkac956","volume":"51","author":"S Kim","year":"2023","unstructured":"Kim S, Chen J, Cheng T et al (2023) PubChem 2023 update. Nucleic Acids Res 51:D1373\u2013D1380. https:\/\/doi.org\/10.1093\/nar\/gkac956","journal-title":"Nucleic Acids Res"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"1847","DOI":"10.1158\/1055-9965.EPI-05-0456","volume":"14","author":"CP Wild","year":"2005","unstructured":"Wild CP (2005) Complementing the genome with an \u201cexposome\u201d: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 14:1847\u20131850. https:\/\/doi.org\/10.1158\/1055-9965.EPI-05-0456","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/toxsci\/kft251","volume":"137","author":"GW Miller","year":"2014","unstructured":"Miller GW, Jones DP (2014) The nature of nurture: refining the definition of the exposome. Toxicol Sci 137:1\u20132. https:\/\/doi.org\/10.1093\/toxsci\/kft251","journal-title":"Toxicol Sci"},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"11505","DOI":"10.1021\/acs.analchem.7b02759","volume":"89","author":"B Warth","year":"2017","unstructured":"Warth B, Spangler S, Fang M et al (2017) Exposome-scale investigations guided by global metabolomics, pathway analysis, and cognitive computing. Anal Chem 89:11505\u201311513. https:\/\/doi.org\/10.1021\/acs.analchem.7b02759","journal-title":"Anal Chem"},{"key":"3_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2023.341740","volume":"1279","author":"M Flasch","year":"2023","unstructured":"Flasch M, Koellensperger G, Warth B (2023) Comparing the sensitivity of a low- and a high-resolution mass spectrometry approach for xenobiotic trace analysis: an exposome-type case study. Anal Chim Acta 1279:341740. https:\/\/doi.org\/10.1016\/j.aca.2023.341740","journal-title":"Anal Chim Acta"},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.jpba.2017.07.044","volume":"147","author":"D Dudzik","year":"2018","unstructured":"Dudzik D, Barbas-Bernardos C, Garc\u00eda A et al (2018) Quality assurance procedures for mass spectrometry untargeted metabolomics. A review. J Pharm Biomed Anal 147:149\u2013173. https:\/\/doi.org\/10.1016\/j.jpba.2017.07.044","journal-title":"J Pharm Biomed Anal"},{"key":"3_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2021.116201","volume":"136","author":"N Caballero-Casero","year":"2021","unstructured":"Caballero-Casero N, Belova L, Vervliet P et al (2021) Towards harmonised criteria in quality assurance and quality control of suspect and non-target LC-HRMS analytical workflows for screening of emerging contaminants in human biomonitoring. TrAC Trends Anal Chem 136:116201. https:\/\/doi.org\/10.1016\/j.trac.2021.116201","journal-title":"TrAC Trends Anal Chem"},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1007\/s11306-018-1367-3","volume":"14","author":"D Broadhurst","year":"2018","unstructured":"Broadhurst D, Goodacre R, Reinke SN et al (2018) Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies. Metabolomics 14:72. https:\/\/doi.org\/10.1007\/s11306-018-1367-3","journal-title":"Metabolomics"},{"key":"3_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2022.339977","volume":"1216","author":"I Oesterle","year":"2022","unstructured":"Oesterle I, Braun D, Rompel A, Warth B (2022) Quantifying up to 90 polyphenols simultaneously in human bio-fluids by LC-MS\/MS. Anal Chim Acta 1216:339977. https:\/\/doi.org\/10.1016\/j.aca.2022.339977","journal-title":"Anal Chim Acta"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"10686","DOI":"10.1021\/acs.analchem.3c01393","volume":"95","author":"I Oesterle","year":"2023","unstructured":"Oesterle I, Pristner M, Berger S et al (2023) Exposomic biomonitoring of polyphenols by non-targeted analysis and suspect screening. Anal Chem 95:10686\u201310694. https:\/\/doi.org\/10.1021\/acs.analchem.3c01393","journal-title":"Anal Chem"},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"2653","DOI":"10.1038\/s41467-022-30204-y","volume":"13","author":"T Jamnik","year":"2022","unstructured":"Jamnik T, Flasch M, Braun D et al (2022) Next-generation biomonitoring of the early-life chemical exposome in neonatal and infant development. Nat Commun 13:2653. https:\/\/doi.org\/10.1038\/s41467-022-30204-y","journal-title":"Nat Commun"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"2548","DOI":"10.1021\/jacsau.2c00433","volume":"2","author":"M Flasch","year":"2022","unstructured":"Flasch M, Fitz V, Rampler E et al (2022) Integrated exposomics\/metabolomics for rapid exposure and effect analyses. JACS Au 2:2548\u20132560. https:\/\/doi.org\/10.1021\/jacsau.2c00433","journal-title":"JACS Au"},{"key":"3_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.envres.2023.115305","volume":"221","author":"KM Lee","year":"2023","unstructured":"Lee KM, Han SM, Lee H-J et al (2023) Influence of mobile phase composition on the analytical sensitivity of LC\u2013ESI\u2013MS\/MS for the concurrent analysis of bisphenols, parabens, chlorophenols, benzophenones, and alkylphenols. Environ Res 221:115305. https:\/\/doi.org\/10.1016\/j.envres.2023.115305","journal-title":"Environ Res"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Dmitrenko A, Reid M, Zamboni N (2022) A system suitability testing platform for untargeted, high-resolution mass spectrometry. Front Mol Biosci 9","DOI":"10.3389\/fmolb.2022.1026184"},{"key":"3_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2023.117151","volume":"166","author":"Y Gu","year":"2023","unstructured":"Gu Y, Peach JT, Warth B (2023) Sample preparation strategies for mass spectrometry analysis in human exposome research: current status and future perspectives. TrAC Trends Anal Chem 166:117151. https:\/\/doi.org\/10.1016\/j.trac.2023.117151","journal-title":"TrAC Trends Anal Chem"},{"key":"3_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2023.116966","volume":"160","author":"Y Yang","year":"2023","unstructured":"Yang Y, Yang L, Zheng M et al (2023) Data acquisition methods for non-targeted screening in environmental analysis. TrAC Trends Anal Chem 160:116966. https:\/\/doi.org\/10.1016\/j.trac.2023.116966","journal-title":"TrAC Trends Anal Chem"},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1038\/s41370-023-00574-6","volume":"33","author":"KE Manz","year":"2023","unstructured":"Manz KE, Feerick A, Braun JM et al (2023) Non-targeted analysis (NTA) and suspect screening analysis (SSA): a review of examining the chemical exposome. J Expo Sci Environ Epidemiol 33:524\u2013536. https:\/\/doi.org\/10.1038\/s41370-023-00574-6","journal-title":"J Expo Sci Environ Epidemiol"},{"key":"3_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.envint.2020.105545","volume":"139","author":"M Pourchet","year":"2020","unstructured":"Pourchet M, Debrauwer L, Klanova J et al (2020) Suspect and non-targeted screening of chemicals of emerging concern for human biomonitoring, environmental health studies and support to risk assessment: from promises to challenges and harmonisation issues. Environ Int 139:105545. https:\/\/doi.org\/10.1016\/j.envint.2020.105545","journal-title":"Environ Int"},{"key":"3_CR19","doi-asserted-by":"publisher","first-page":"1876","DOI":"10.1039\/D1AY00111F","volume":"13","author":"B Gonz\u00e1lez-Gaya","year":"2021","unstructured":"Gonz\u00e1lez-Gaya B, Lopez-Herguedas N, Bilbao D et al (2021) Suspect and non-target screening: the last frontier in environmental analysis. Anal Methods 13:1876\u20131904. https:\/\/doi.org\/10.1039\/D1AY00111F","journal-title":"Anal Methods"},{"key":"3_CR20","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1038\/nbt.2377","volume":"30","author":"MC Chambers","year":"2012","unstructured":"Chambers MC, Maclean B, Burke R et al (2012) A cross-platform toolkit for mass spectrometry and proteomics. Nat Biotechnol 30:918\u2013920. https:\/\/doi.org\/10.1038\/nbt.2377","journal-title":"Nat Biotechnol"},{"key":"3_CR21","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1021\/ac051437y","volume":"78","author":"CA Smith","year":"2006","unstructured":"Smith CA, Want EJ, O\u2019Maille G et al (2006) XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Anal Chem 78:779\u2013787. https:\/\/doi.org\/10.1021\/ac051437y","journal-title":"Anal Chem"},{"key":"3_CR22","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1038\/nprot.2017.151","volume":"13","author":"EM Forsberg","year":"2018","unstructured":"Forsberg EM, Huan T, Rinehart D et al (2018) Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS online. Nat Protoc 13:633\u2013651. https:\/\/doi.org\/10.1038\/nprot.2017.151","journal-title":"Nat Protoc"},{"key":"3_CR23","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1038\/s41587-020-0531-2","volume":"38","author":"H Tsugawa","year":"2020","unstructured":"Tsugawa H, Ikeda K, Takahashi M et al (2020) A lipidome atlas in MS-DIAL 4. Nat Biotechnol 38:1159\u20131163. https:\/\/doi.org\/10.1038\/s41587-020-0531-2","journal-title":"Nat Biotechnol"},{"key":"3_CR24","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1038\/s41587-023-01690-2","volume":"41","author":"R Schmid","year":"2023","unstructured":"Schmid R, Heuckeroth S, Korf A et al (2023) Integrative analysis of multimodal mass spectrometry data in MZmine 3. Nat Biotechnol 41:447\u2013449. https:\/\/doi.org\/10.1038\/s41587-023-01690-2","journal-title":"Nat Biotechnol"},{"key":"3_CR25","doi-asserted-by":"publisher","first-page":"W652","DOI":"10.1093\/nar\/gkp356","volume":"37","author":"J Xia","year":"2009","unstructured":"Xia J, Psychogios N, Young N, Wishart DS (2009) MetaboAnalyst: a web server for metabolomic data analysis and interpretation. Nucleic Acids Res 37:W652\u2013W660. https:\/\/doi.org\/10.1093\/nar\/gkp356","journal-title":"Nucleic Acids Res"},{"key":"3_CR26","doi-asserted-by":"publisher","first-page":"2097","DOI":"10.1021\/es5002105","volume":"48","author":"EL Schymanski","year":"2014","unstructured":"Schymanski EL, Jeon J, Gulde R et al (2014) Identifying small molecules via high resolution mass spectrometry: communicating confidence. Environ Sci Technol 48:2097\u20132098. https:\/\/doi.org\/10.1021\/es5002105","journal-title":"Environ Sci Technol"},{"key":"3_CR27","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1038\/s41592-019-0344-8","volume":"16","author":"K D\u00fchrkop","year":"2019","unstructured":"D\u00fchrkop K, Fleischauer M, Ludwig M et al (2019) SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information. Nat Methods 16:299\u2013302. https:\/\/doi.org\/10.1038\/s41592-019-0344-8","journal-title":"Nat Methods"},{"key":"3_CR28","doi-asserted-by":"publisher","first-page":"16289","DOI":"10.1021\/acs.analchem.1c02660","volume":"93","author":"BJ Place","year":"2021","unstructured":"Place BJ, Ulrich EM, Challis JK et al (2021) An introduction to the benchmarking and publications for non-targeted analysis working group. Anal Chem 93:16289\u201316296. https:\/\/doi.org\/10.1021\/acs.analchem.1c02660","journal-title":"Anal Chem"},{"key":"3_CR29","doi-asserted-by":"publisher","first-page":"13870","DOI":"10.1021\/acs.analchem.1c02621","volume":"93","author":"KT Peter","year":"2021","unstructured":"Peter KT, Phillips AL, Knolhoff AM et al (2021) Nontargeted analysis study reporting tool: a framework to improve research transparency and reproducibility. Anal Chem 93:13870\u201313879. https:\/\/doi.org\/10.1021\/acs.analchem.1c02621","journal-title":"Anal Chem"},{"key":"3_CR30","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1093\/bioinformatics\/btq054","volume":"26","author":"B MacLean","year":"2010","unstructured":"MacLean B, Tomazela DM, Shulman N et al (2010) Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 26:966\u2013968. https:\/\/doi.org\/10.1093\/bioinformatics\/btq054","journal-title":"Bioinformatics"},{"key":"3_CR31","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1021\/acs.jproteome.9b00640","volume":"19","author":"KJ Adams","year":"2020","unstructured":"Adams KJ, Pratt B, Bose N et al (2020) Skyline for small molecules: a unifying software package for quantitative metabolomics. J Proteome Res 19:1447\u20131458. https:\/\/doi.org\/10.1021\/acs.jproteome.9b00640","journal-title":"J Proteome Res"},{"key":"3_CR32","doi-asserted-by":"publisher","unstructured":"Hernandes, Vinicius Verri, and Benedikt Warth (2024) Bridging Targeted (Zeno MRM-HR) and Untargeted (SWATH) LC\u2013HRMS in a Single Run for Sensitive Exposomics. Anal Chem 96.31:12710.https:\/\/doi.org\/10.1021\/acs.analchem.4c01630","DOI":"10.1021\/acs.analchem.4c01630"}],"container-title":["Methods in Molecular Biology","Clinical Metabolomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-0716-4116-3_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T20:21:20Z","timestamp":1727814080000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-0716-4116-3_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,2]]},"ISBN":["9781071641156","9781071641163"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-1-0716-4116-3_3","relation":{},"ISSN":["1064-3745","1940-6029"],"issn-type":[{"value":"1064-3745","type":"print"},{"value":"1940-6029","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,2]]},"assertion":[{"value":"2 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}