{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T02:07:45Z","timestamp":1789178865329,"version":"build-2803163510"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:00:00Z","timestamp":1789171200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:00:00Z","timestamp":1789171200000},"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":["Anal Bioanal Chem"],"DOI":"10.1007\/s00216-026-06813-7","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T01:49:52Z","timestamp":1789177792000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Structure-guided parameter optimization of feature-based molecular networking for DIA-HRMS screening of antihistamines in cosmetics"],"prefix":"10.1007","author":[{"given":"Guangqian","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zixuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guiwen","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyu","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jishuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yitong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiyan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,12]]},"reference":[{"key":"6813_CR1","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.3724\/SP.J.1123.2020.06017","volume":"38","author":"M Wang","year":"2020","unstructured":"Wang M, Chen Y, Tu F, Hou J, Yang M, Lu Y, et al. Screening and quantitative analysis of nine illicit antiallergics in emulsion cosmetics by ultra-high performance liquid chromatography-quadrupole-time-of-flight high-resolution mass spectrometry. Chin J Chromatogr. 2020;38:1423\u201330. https:\/\/doi.org\/10.3724\/SP.J.1123.2020.06017.","journal-title":"Chin J Chromatogr"},{"key":"6813_CR2","doi-asserted-by":"publisher","DOI":"10.3390\/molecules31010090","volume":"31","author":"Y Dong","year":"2026","unstructured":"Dong Y, Sun S, Qiao Y, Yu C, Wang H, Sun L. Targeted determination of residual sex hormones in cosmetics using magnetic solid-phase extraction with isotope-labeled internal standards by UHPLC-MS\/MS. Molecules. 2026;31:90. https:\/\/doi.org\/10.3390\/molecules31010090.","journal-title":"Molecules"},{"key":"6813_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/rcm.9778","volume":"38","author":"L Jian","year":"2024","unstructured":"Jian L, Han J, Wen H, Shen Y, Zhang K, Yu L, et al. Rapid determination of 111 anti-infective drugs possibly added in cosmetics using high-performance liquid chromatography-tandem mass spectrometry with scheduled multiple reaction monitoring. Rapid Commun Mass Spectrom. 2024;38:e9778. https:\/\/doi.org\/10.1002\/rcm.9778.","journal-title":"Rapid Commun Mass Spectrom"},{"key":"6813_CR4","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1124\/mol.116.105981","volume":"90","author":"F Monczor","year":"2016","unstructured":"Monczor F, Fernandez N. Current knowledge and perspectives on histamine H1 and H2 receptor pharmacology: functional selectivity, receptor crosstalk, and repositioning of classic histaminergic ligands. Mol Pharmacol. 2016;90:640\u20138. https:\/\/doi.org\/10.1124\/mol.116.105981.","journal-title":"Mol Pharmacol"},{"key":"6813_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.chroma.2023.463954","volume":"1695","author":"L Zhang","year":"2023","unstructured":"Zhang L, Shen L, Zhong Q, Zhou T. Diluting modulation-based two dimensional-liquid chromatography coupled with mass spectrometry for simultaneously determining multiclass prohibited substances in cosmetics. J Chromatogr A. 2023;1695:463954. https:\/\/doi.org\/10.1016\/j.chroma.2023.463954.","journal-title":"J Chromatogr A"},{"key":"6813_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.aca.2023.341831","volume":"1279","author":"B He","year":"2023","unstructured":"He B, Feng J, Liu J, Zhong Q, Zhou T. Inline phase transition trapping-selective supercritical fluid extraction-supercritical fluid chromatography: a green and efficient integrated method for determining prohibited substances in cosmetics. Anal Chim Acta. 2023;1279:341831. https:\/\/doi.org\/10.1016\/j.aca.2023.341831.","journal-title":"Anal Chim Acta"},{"key":"6813_CR7","doi-asserted-by":"publisher","first-page":"38","DOI":"10.3724\/SP.J.1123.2023.04012","volume":"42","author":"B Hu","year":"2024","unstructured":"Hu B, Li L, Ding X, Liu H, Huang W, L\u00fc W, et al. Rapid determination of 87 prohibited ingredients in cosmetics by ultra performance liquid chromatography-tandem mass spectrometry. Chin J Chromatogr. 2024;42:38\u201351. https:\/\/doi.org\/10.3724\/SP.J.1123.2023.04012.","journal-title":"Chin J Chromatogr"},{"key":"6813_CR8","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.jpba.2013.12.026","volume":"91","author":"J Fiori","year":"2014","unstructured":"Fiori J, Andrisano V. LC-MS method for the simultaneous determination of six glucocorticoids in pharmaceutical formulations and counterfeit cosmetic products. J Pharm Biomed Anal. 2014;91:185\u201392. https:\/\/doi.org\/10.1016\/j.jpba.2013.12.026.","journal-title":"J Pharm Biomed Anal"},{"key":"6813_CR9","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.chroma.2019.01.003","volume":"1590","author":"M Chen","year":"2019","unstructured":"Chen M, Bai H, Zhai J, Meng X, Guo X, Wang C, et al. Comprehensive screening of 63 coloring agents in cosmetics using matrix solid-phase dispersion and ultra-high-performance liquid chromatography coupled with quadrupole-Orbitrap high-resolution mass spectrometry. J Chromatogr A. 2019;1590:27\u201338. https:\/\/doi.org\/10.1016\/j.chroma.2019.01.003.","journal-title":"J Chromatogr A"},{"key":"6813_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.microc.2022.108044","volume":"183","author":"V V\u00e1llez-Gomis","year":"2022","unstructured":"V\u00e1llez-Gomis V, Carchano-Olcina S, Bened\u00e9 JL, Chisvert A, Salvador A. Entrapment of magnetic nanoparticles into poly(divinylbenzene-co-N-vinylpyrrolidone) copolymer for the determination of prohibited and restricted fragrance ingredients in cosmetic products. Microchem J. 2022;183:108044. https:\/\/doi.org\/10.1016\/j.microc.2022.108044.","journal-title":"Microchem J"},{"key":"6813_CR11","doi-asserted-by":"publisher","first-page":"6671","DOI":"10.1039\/C9RA08676E","volume":"10","author":"C Ghosh","year":"2020","unstructured":"Ghosh C, Singh V, Grandy J, Pawliszyn J. Development and validation of a headspace needle-trap method for rapid quantitative estimation of butylated hydroxytoluene from cosmetics by hand-portable GC-MS. RSC Adv. 2020;10:6671\u20137. https:\/\/doi.org\/10.1039\/C9RA08676E.","journal-title":"RSC Adv"},{"key":"6813_CR12","doi-asserted-by":"publisher","DOI":"10.3390\/molecules29061336","volume":"29","author":"AF Serb","year":"2024","unstructured":"Serb AF, Georgescu M, Onulov R, Novaconi CR, Sisu E, Bolocan A, et al. Mass-spectrometry-based research of cosmetic ingredients. Molecules. 2024;29:1336. https:\/\/doi.org\/10.3390\/molecules29061336.","journal-title":"Molecules"},{"key":"6813_CR13","doi-asserted-by":"publisher","DOI":"10.3390\/molecules26092504","volume":"26","author":"M Celeiro","year":"2021","unstructured":"Celeiro M, Rubio L, Garcia-Jares C, Lores M. Multi-target strategy to uncover unexpected compounds in rinse-off and leave-on cosmetics. Molecules. 2021;26:2504. https:\/\/doi.org\/10.3390\/molecules26092504.","journal-title":"Molecules"},{"key":"6813_CR14","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1021\/acs.estlett.1c00240","volume":"8","author":"HD Whitehead","year":"2021","unstructured":"Whitehead HD, Venier M, Wu Y, Eastman E, Urbanik S, Diamond ML, et al. Fluorinated compounds in North American cosmetics. Environ Sci Technol Lett. 2021;8:538\u201344. https:\/\/doi.org\/10.1021\/acs.estlett.1c00240.","journal-title":"Environ Sci Technol Lett"},{"key":"6813_CR15","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1016\/j.jpba.2011.01.043","volume":"55","author":"M Pellegrini","year":"2011","unstructured":"Pellegrini M, Marchei E, Pacifici R, Rotolo MC, Pichini S. Advances in the analysis of non-allowed pharmacologically active substances in cosmetic products. J Pharm Biomed Anal. 2011;55:842\u20137. https:\/\/doi.org\/10.1016\/j.jpba.2011.01.043.","journal-title":"J Pharm Biomed Anal"},{"key":"6813_CR16","doi-asserted-by":"publisher","first-page":"433","DOI":"10.3724\/SP.J.1123.2021.09010","volume":"40","author":"Y Li","year":"2022","unstructured":"Li Y, Huang J, Fang J, Huang Z. Fast screening and confirmation of 73 common prohibited compounds in cosmetics by ultra performance liquid chromatography-quadrupole-time-of-flight high-resolution mass spectrometry. Chin J Chromatogr. 2022;40:433\u201342. https:\/\/doi.org\/10.3724\/SP.J.1123.2021.09010.","journal-title":"Chin J Chromatogr"},{"key":"6813_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.talanta.2025.128735","volume":"297","author":"Y Guo","year":"2026","unstructured":"Guo Y, Li Y, Zou B, Lin X, Hu S, Yang H, et al. A novel integrated strategy combining feature-based molecular networking, QSIIR modeling, and in silico toxicity prediction accelerates the screening of illegal additives in cosmetics: quinolones as a case study. Talanta. 2026;297:128735. https:\/\/doi.org\/10.1016\/j.talanta.2025.128735.","journal-title":"Talanta"},{"key":"6813_CR18","doi-asserted-by":"publisher","DOI":"10.3390\/molecules30193968","volume":"30","author":"L Li","year":"2025","unstructured":"Li L, Li S, Wang JS, Wu D, Xu GQ, Wang HY. Molecular networking in cosmetic analysis: a review of non-targeted profiling for safety hazards and bioactive compounds. Molecules. 2025;30:3968. https:\/\/doi.org\/10.3390\/molecules30193968.","journal-title":"Molecules"},{"key":"6813_CR19","doi-asserted-by":"publisher","first-page":"1112","DOI":"10.1016\/j.jpba.2011.07.046","volume":"56","author":"M Pellegrini","year":"2011","unstructured":"Pellegrini M, Boss\u00f9 E, Rotolo MC, Pacifici R, Pichini S. Simple and rapid analysis of methyldibromo glutaronitrile in cosmetic products by gas chromatography mass spectrometry. J Pharm Biomed Anal. 2011;56:1112\u20136. https:\/\/doi.org\/10.1016\/j.jpba.2011.07.046.","journal-title":"J Pharm Biomed Anal"},{"key":"6813_CR20","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1038\/s41592-020-0933-6","volume":"17","author":"LF Nothias","year":"2020","unstructured":"Nothias LF, Petras D, Schmid R, D\u00fchrkop K, Rainer J, Sarvepalli A, et al. Feature-based molecular networking in the GNPS analysis environment. Nat Methods. 2020;17:905\u20138. https:\/\/doi.org\/10.1038\/s41592-020-0933-6.","journal-title":"Nat Methods"},{"key":"6813_CR21","doi-asserted-by":"publisher","DOI":"10.3390\/metabo9070144","volume":"9","author":"M Ernst","year":"2019","unstructured":"Ernst M, Kang KB, Caraballo-Rodr\u00edguez AM, Nothias LF, Wandy J, Chen C, et al. MolNetEnhancer: enhanced molecular networks by integrating metabolome mining and annotation tools. Metabolites. 2019;9:144. https:\/\/doi.org\/10.3390\/metabo9070144.","journal-title":"Metabolites"},{"key":"6813_CR22","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1038\/nbt.3597","volume":"34","author":"M Wang","year":"2016","unstructured":"Wang M, Carver JJ, Phelan VV, Sanchez LM, Garg N, Peng Y, et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat Biotechnol. 2016;34:828\u201337. https:\/\/doi.org\/10.1038\/nbt.3597.","journal-title":"Nat Biotechnol"},{"key":"6813_CR23","doi-asserted-by":"publisher","first-page":"O111.016717","DOI":"10.1074\/mcp.O111.016717","volume":"11","author":"L Gillet","year":"2012","unstructured":"Gillet L, Navarro P, Tate S, R\u00f6st H, Selevsek N, Reiter L, et al. Targeted data extraction of the MS\/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol Cell Proteomics. 2012;11:O111.016717. https:\/\/doi.org\/10.1074\/mcp.O111.016717.","journal-title":"Mol Cell Proteomics"},{"key":"6813_CR24","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1039\/D0MO00072H","volume":"17","author":"B Krasny","year":"2021","unstructured":"Krasny B, Huang PH. Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology. Mol Omics. 2021;17:29\u201342. https:\/\/doi.org\/10.1039\/D0MO00072H.","journal-title":"Mol Omics"},{"key":"6813_CR25","doi-asserted-by":"publisher","first-page":"3215","DOI":"10.1007\/s00216-025-05861-9","volume":"417","author":"Y Wu","year":"2025","unstructured":"Wu Y, Wang Y. A comparative study of data-independent acquisition and data-dependent acquisition in liquid chromatography-mass spectrometry-based untargeted metabolomics analysis of Panax genus sample. Anal Bioanal Chem. 2025;417:3215\u201328. https:\/\/doi.org\/10.1007\/s00216-025-05861-9.","journal-title":"Anal Bioanal Chem"},{"key":"6813_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/metabo10040158","volume":"10","author":"M Barbier Saint Hilaire","year":"2020","unstructured":"Barbier Saint Hilaire M, Rousseau P, Seyer S, Dechaumet G, Damont C, Junot C, et al. Comparative evaluation of data dependent and data independent acquisition workflows implemented on an Orbitrap Fusion for untargeted metabolomics. Metabolites. 2020;10:158. https:\/\/doi.org\/10.3390\/metabo10040158.","journal-title":"Metabolites"},{"key":"6813_CR27","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2023.1130781","volume":"10","author":"J Wandy","year":"2023","unstructured":"Wandy J, McBride R, Rogers S, Terzis N, Weidt S, van der Hooft JJJ, et al. Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics. Front Mol Biosci. 2023;10:1130781. https:\/\/doi.org\/10.3389\/fmolb.2023.1130781.","journal-title":"Front Mol Biosci"},{"key":"6813_CR28","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1074\/mcp.M114.044305","volume":"14","author":"R Bruderer","year":"2015","unstructured":"Bruderer R, Bernhardt OM, Gandhi T, Miladinovi\u0107 SM, Cheng LY, Messner S, et al. Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues. Mol Cell Proteomics. 2015;14:1400\u201310. https:\/\/doi.org\/10.1074\/mcp.M114.044305.","journal-title":"Mol Cell Proteomics"},{"key":"6813_CR29","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1038\/nmeth.2528","volume":"10","author":"JD Egertson","year":"2013","unstructured":"Egertson JD, Kuehn A, Merrihew GE, Bateman NW, MacLean BX, Ting YS, et al. Multiplexed MS\/MS for improved data-independent acquisition. Nat Methods. 2013;10:744\u20136. https:\/\/doi.org\/10.1038\/nmeth.2528.","journal-title":"Nat Methods"},{"key":"6813_CR30","doi-asserted-by":"publisher","first-page":"2412","DOI":"10.1016\/j.csbj.2025.05.046","volume":"27","author":"H El Boudlali","year":"2025","unstructured":"El Boudlali H, Lehmicke L, Ceglarek U. High-resolution accurate mass-mass spectrometry-based untargeted metabolomics: reproducibility and detection power across data-dependent acquisition, data-independent acquisition, and AcquireX. Comput Struct Biotechnol J. 2025;27:2412\u201323. https:\/\/doi.org\/10.1016\/j.csbj.2025.05.046.","journal-title":"Comput Struct Biotechnol J"},{"key":"6813_CR31","doi-asserted-by":"publisher","DOI":"10.3390\/metabo10120514","volume":"10","author":"T van der Laan","year":"2020","unstructured":"van der Laan T, Boom I, Maliepaard J, Dubbelman AC, Harms AC, Hankemeier T. Data-independent acquisition for the quantification and identification of metabolites in plasma. Metabolites. 2020;10:514. https:\/\/doi.org\/10.3390\/metabo10120514.","journal-title":"Metabolites"},{"key":"6813_CR32","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1038\/nmeth.3393","volume":"12","author":"H Tsugawa","year":"2015","unstructured":"Tsugawa H, Cajka T, Kind T, Ma Y, Higgins B, Ikeda K, et al. MS-DIAL: data-independent MS\/MS deconvolution for comprehensive metabolome analysis. Nat Methods. 2015;12:523\u20136. https:\/\/doi.org\/10.1038\/nmeth.3393.","journal-title":"Nat Methods"},{"key":"6813_CR33","unstructured":"National Medical Products Administration. \u5316\u5986\u54c1\u4e2d\u5730\u6c2f\u96f7\u4ed6\u5b9a\u7b4951\u79cd\u539f\u6599\u7684\u68c0\u9a8c\u65b9\u6cd5 [Test method for 51 ingredients including desloratadine in cosmetics]. In: \u56fd\u5bb6\u836f\u76d1\u5c40\u5173\u4e8e\u5c06\u6cb9\u5305\u6c34\u7c7b\u5316\u5986\u54c1\u7684pH\u503c\u6d4b\u5b9a\u65b9\u6cd5\u7b4921\u9879\u5236\u4fee\u8ba2\u9879\u76ee\u7eb3\u5165\u300a\u5316\u5986\u54c1\u5b89\u5168\u6280\u672f\u89c4\u8303 (2015\u5e74\u7248) \u300b\u7684\u901a\u544a (2023\u5e74\u7b2c41\u53f7) , Attachment 17. 2023. https:\/\/www.nmpa.gov.cn\/xxgk\/ggtg\/qtggtg\/20230828170520159.html. Accessed 10 Aug 2026."},{"key":"6813_CR34","unstructured":"RDKit: open-source cheminformatics. https:\/\/www.rdkit.org. Accessed 6 Jul 2026."},{"key":"6813_CR35","doi-asserted-by":"publisher","first-page":"11","DOI":"10.25080\/TCWV9851","volume-title":"Proceedings of the 7th Python in science conference","author":"AA Hagberg","year":"2008","unstructured":"Hagberg AA, Schult DA, Swart PJ. Exploring network structure, dynamics, and function using NetworkX. In: Varoquaux G, Vaught T, Millman J, editors. Proceedings of the 7th Python in science conference. Pasadena: SciPy; 2008. p. 11\u20135. https:\/\/doi.org\/10.25080\/TCWV9851."},{"key":"6813_CR36","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al. Scikit-learn: machine learning in Python. J Mach Learn Res. 2011;12:2825\u201330.","journal-title":"J Mach Learn Res"},{"key":"6813_CR37","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P. Comparing partitions. J Classif. 1985;2:193\u2013218. https:\/\/doi.org\/10.1007\/BF01908075.","journal-title":"J Classif"},{"key":"6813_CR38","first-page":"2837","volume":"11","author":"NX Vinh","year":"2010","unstructured":"Vinh NX, Epps J, Bailey J. Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. J Mach Learn Res. 2010;11:2837\u201354.","journal-title":"J Mach Learn Res"},{"key":"6813_CR39","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, Aksenov AA, Melnik AV, Meusel M, et al. SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information. Nat Methods. 2019;16:299\u2013302. https:\/\/doi.org\/10.1038\/s41592-019-0344-8.","journal-title":"Nat Methods"},{"key":"6813_CR40","doi-asserted-by":"publisher","first-page":"12580","DOI":"10.1073\/pnas.1509788112","volume":"112","author":"K D\u00fchrkop","year":"2015","unstructured":"D\u00fchrkop K, Shen H, Meusel M, Rousu J, B\u00f6cker S. Searching molecular structure databases with tandem mass spectra using CSI:FingerID. Proc Natl Acad Sci U S A. 2015;112:12580\u20135. https:\/\/doi.org\/10.1073\/pnas.1509788112.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"6813_CR41","doi-asserted-by":"publisher","first-page":"4814","DOI":"10.1021\/acs.est.5c12691","volume":"60","author":"JC Kalinski","year":"2026","unstructured":"Kalinski JC, da Costa BRB, Schramm T, Buckett LR, Carlson LT, Coffey NR, et al. Comparability of liquid chromatography tandem mass spectrometry analysis of dissolved organic matter across laboratories. Environ Sci Technol. 2026;60:4814\u201329. https:\/\/doi.org\/10.1021\/acs.est.5c12691.","journal-title":"Environ Sci Technol"}],"container-title":["Analytical and Bioanalytical Chemistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00216-026-06813-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00216-026-06813-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00216-026-06813-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T01:49:54Z","timestamp":1789177794000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00216-026-06813-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,12]]},"references-count":41,"alternative-id":["6813"],"URL":"https:\/\/doi.org\/10.1007\/s00216-026-06813-7","relation":{},"ISSN":["1618-2642","1618-2650"],"issn-type":[{"value":"1618-2642","type":"print"},{"value":"1618-2650","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,12]]},"assertion":[{"value":"22 July 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable. This study involved no human participants, human-derived materials, or animals.","order":1,"name":"Ethics","label":"Ethics approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}