{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:42:43Z","timestamp":1792784563314,"version":"4.5.0"},"reference-count":51,"publisher":"American Chemical Society (ACS)","issue":"40","license":[{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"name":"Major Program of Xiangjiang Laboratory","award":["24XJ01003"],"award-info":[{"award-number":["24XJ01003"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["U22A20617"],"award-info":[{"award-number":["U22A20617"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["U23A2055"],"award-info":[{"award-number":["U23A2055"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["2023RC1041"],"award-info":[{"award-number":["2023RC1041"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Tracing facility-level influences in urban rivers is challenging because complex contaminant mixtures limit discrimination of individual dischargers. Conventional bulk indicators provide limited source specificity, whereas high-resolution mass spectrometry nontarget analysis (HRMS-NTA) rarely incorporates river-network connectivity. Here, we developed an HRMS fingerprinting framework integrating feature prioritization, chemical fingerprints, directed source connectivity, non-negative least-squares decomposition, and facility discharge to trace wastewater treatment plant (WWTP) influences. Using scenario-matched fingerprints from 13 WWTPs, we evaluated three longitudinal river receptors under base-flow and higher-flow conditions. Across six cases, model-derived Chemical Influence covaried with independently measured PFAS and antibiotic concentrations across 10 relationships; florfenicol, PFOS, and roxithromycin yielded R2 values ranging from 0.862 to 0.955. Hydraulic share and chemical influence were decoupled: under higher-flow conditions, one facility contributed only 9.57% of WWTP discharge but 39.1% of the integrated Chemical Influence at the farthest downstream receptor. Thus, discharge volume or fingerprint correspondence alone may overlook disproportionate chemical influence. The framework advances NTA from broad source-type differentiation toward river-network-informed, facility-level tracing, providing a basis for scenario-specific prioritization in complex urban rivers.<\/jats:p>","DOI":"10.1021\/acs.est.6c05353","type":"journal-article","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T16:02:08Z","timestamp":1789574528000},"page":"29031-29042","source":"Crossref","is-referenced-by-count":0,"title":["Tracing Wastewater\nTreatment Plant Influences in an\nUrban River Using Nontarget Chemical Fingerprints and Source\u2013Receptor\nConnectivity"],"prefix":"10.1021","volume":"60","author":[{"given":"Letian","family":"Zhang","sequence":"first","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, P.R. China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Yang","sequence":"additional","affiliation":[{"name":"Nanjing University , , ,","place":["Nanjing, P.R. China, 210023"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9949-7747","authenticated-orcid":true,"given":"Xiaodong","family":"Li","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, P.R. China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3926-6992","authenticated-orcid":true,"given":"Nanyang","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanjing University , , ,","place":["Nanjing, P.R. China, 210023"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1979-9356","authenticated-orcid":true,"given":"Jie","family":"Liang","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, P.R. China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,9,16]]},"reference":[{"key":"2026101310173047700_cit1","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1146\/annurev-environ-100809-125342","article-title":"Global Water Pollution and Human Health","volume":"35","author":"Schwarzenbach","year":"2010","journal-title":"Annu. Rev. Environ. Res."},{"issue":"6580","key":"2026101310173047700_cit2","doi-asserted-by":"publisher","DOI":"10.1126\/science.abg9065","article-title":"Per-\nand Polyfluoroalkyl Substances in the\nEnvironment","volume":"375","author":"Evich","year":"2022","journal-title":"Science"},{"issue":"17","key":"2026101310173047700_cit3","doi-asserted-by":"publisher","first-page":"6808","DOI":"10.1021\/acs.est.2c08200","article-title":"Nontarget\nAnalysis\nof Polluted Surface Waters in Bangladesh Using Open Science Workflows","volume":"57","author":"Bonnefille","year":"2023","journal-title":"Environ. Sci. Technol."},{"issue":"20","key":"2026101310173047700_cit4","doi-asserted-by":"publisher","first-page":"11505","DOI":"10.1021\/acs.est.7b02184","article-title":"Nontarget Screening\nwith High Resolution Mass Spectrometry in the Environment: Ready to\nGo?","volume":"51","author":"Hollender","year":"2017","journal-title":"Environ. Sci. Technol."},{"key":"2026101310173047700_cit5","doi-asserted-by":"publisher","first-page":"157284","DOI":"10.1016\/j.scitotenv.2022.157284","article-title":"Assessing the Impact\nof Wastewater Treatment Works Effluent on Downstream Water Quality","volume":"845","author":"Comber","year":"2022","journal-title":"Sci. Total Environ."},{"key":"2026101310173047700_cit6","doi-asserted-by":"publisher","first-page":"172827","DOI":"10.1016\/j.scitotenv.2024.172827","article-title":"Apportioning\nSources of Chemicals of Emerging Concern along an Urban River with\nInverse Modelling","volume":"933","author":"Chrapkiewicz","year":"2024","journal-title":"Sci. Total Environ."},{"issue":"1","key":"2026101310173047700_cit7","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1021\/acs.est.3c06688","article-title":"Application\nof Nontarget High-Resolution Mass Spectrometry Fingerprints for Qualitative\nand Quantitative Source Apportionment: A Real Case Study","volume":"58","author":"Xia","year":"2024","journal-title":"Environ. Sci. Technol."},{"issue":"2","key":"2026101310173047700_cit8","doi-asserted-by":"publisher","first-page":"364","DOI":"10.3390\/molecules30020364","article-title":"Environmental Applications\nof Mass Spectrometry for\nEmerging Contaminants","volume":"30","author":"Meher","year":"2025","journal-title":"Molecules"},{"issue":"21","key":"2026101310173047700_cit9","doi-asserted-by":"publisher","first-page":"12257","DOI":"10.1021\/acs.est.9b04481","article-title":"Application of Nontarget High Resolution\nMass Spectrometry Data to Quantitative Source Apportionment","volume":"53","author":"Peter","year":"2019","journal-title":"Environ. Sci. Technol."},{"issue":"2","key":"2026101310173047700_cit10","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1039\/C9EM00529C","article-title":"Positive Matrix Factorization\non Source Apportionment for Typical Pollutants in Different Environmental\nMedia: A Review","volume":"22","author":"Sun","year":"2020","journal-title":"Environ. Sci.: Processes Impacts"},{"issue":"1","key":"2026101310173047700_cit11","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/S0169-7439(96)00060-3","article-title":"Some Thoughts\non Chemical Mass Balance Models","volume":"37","author":"Gleser","year":"1997","journal-title":"Chemom. Intell.\nLab. Syst."},{"issue":"22","key":"2026101310173047700_cit12","doi-asserted-by":"publisher","first-page":"15215","DOI":"10.1021\/acs.est.1c04699","article-title":"Coupling Suspect\nand\nNontarget Screening with Mass Balance Modeling to Characterize Organic\nMicropollutants in the Onondaga Lake-Three Rivers System","volume":"55","author":"Wang","year":"2021","journal-title":"Environ. Sci. Technol."},{"issue":"1","key":"2026101310173047700_cit13","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1038\/s41545-025-00504-z","article-title":"Integrating Non-Target\nAnalysis and Machine Learning: A Framework for Contaminant Source\nIdentification","volume":"8","author":"Liu","year":"2025","journal-title":"Npj Clean Water"},{"key":"2026101310173047700_cit14","doi-asserted-by":"publisher","first-page":"465944","DOI":"10.1016\/j.chroma.2025.465944","article-title":"Prioritization\nStrategies for Non-Target Screening in Environmental Samples by Chromatography-High-Resolution\nMass Spectrometry: A Tutorial","volume":"1751","author":"Zweigle","year":"2025","journal-title":"J. Chromatogr.\nA"},{"issue":"47","key":"2026101310173047700_cit15","doi-asserted-by":"publisher","first-page":"18296","DOI":"10.1021\/acs.est.2c08540","article-title":"Nontarget Chemical\nComposition of\nSurface Waters May Reflect Ecosystem Processes More than Discrete\nSource Contributions","volume":"57","author":"Shi","year":"2023","journal-title":"Environ. Sci. Technol."},{"issue":"4","key":"2026101310173047700_cit16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1002\/cem.2609","article-title":"Partial Least Squares Discriminant Analysis: Taking\nthe Magic Away","volume":"28","author":"Brereton","year":"2014","journal-title":"J. Chemom."},{"issue":"16","key":"2026101310173047700_cit17","doi-asserted-by":"publisher","first-page":"3790","DOI":"10.1039\/c3ay40582f","article-title":"Classification Tools\nin Chemistry. Part 1: Linear Models.\nPLS-DA","volume":"5","author":"Ballabio","year":"2013","journal-title":"Anal. Methods"},{"key":"2026101310173047700_cit18","doi-asserted-by":"publisher","first-page":"118145","DOI":"10.1016\/j.watres.2022.118145","article-title":"Transport-Based\nSource Tracking of Contaminants in\na Karst Aquifer: Model Implementation, Proof of Concept, and Application\nto Event-Based Field Data","volume":"213","author":"Schiperski","year":"2022","journal-title":"Water Res."},{"issue":"8","key":"2026101310173047700_cit19","doi-asserted-by":"publisher","first-page":"2073","DOI":"10.1021\/acsestwater.2c00605","article-title":"Routine\nEstimation of Dissolved Organic\nMatter Sources Using Fluorescence Data and Linear Least Squares","volume":"3","author":"Bryan","year":"2023","journal-title":"ACS EST Water"},{"issue":"3","key":"2026101310173047700_cit20","doi-asserted-by":"publisher","first-page":"W03S04","DOI":"10.1029\/2005WR004362","article-title":"Getting\nthe Right Answers for the Right Reasons: Linking Measurements, Analyses,\nand Models to Advance the Science of Hydrology","volume":"42","author":"Kirchner","year":"2006","journal-title":"Water Resour. Res."},{"issue":"7","key":"2026101310173047700_cit21","doi-asserted-by":"publisher","first-page":"2726","DOI":"10.1021\/acs.est.2c04705","article-title":"Land\u2013Water Transport and Sources\nof Nitrogen Pollution Affecting the Structure and Function of Riverine\nMicrobial Communities","volume":"57","author":"Zhu","year":"2023","journal-title":"Environ. Sci. Technol."},{"key":"2026101310173047700_cit22","doi-asserted-by":"publisher","first-page":"121255","DOI":"10.1016\/j.watres.2024.121255","article-title":"Systematic\nTracking of Nitrogen Sources in Complex River Catchments:\nMachine Learning Approach Based on Microbial Metagenomics","volume":"253","author":"Zhu","year":"2024","journal-title":"Water Res."},{"issue":"4","key":"2026101310173047700_cit23","doi-asserted-by":"publisher","first-page":"3567","DOI":"10.1021\/acs.est.5c14441","article-title":"Uncovering Overlooked Fluorinated Compounds by Multi-Strategy Nontarget\nScreening in an Urban River System in China","volume":"60","author":"Wang","year":"2026","journal-title":"Environ. Sci. Technol."},{"key":"2026101310173047700_cit24","doi-asserted-by":"publisher","first-page":"151262","DOI":"10.1016\/j.scitotenv.2021.151262","article-title":"Characterization\nof the Contamination Fingerprint of Wastewater Treatment Plant Effluents\nin the Henares River Basin (Central Spain) Based on Target and Suspect\nScreening Analysis","volume":"806","author":"Lopez-Herguedas","year":"2022","journal-title":"Sci. Total Environ."},{"key":"2026101310173047700_cit25","volume-title":"ISO 21675:2019 Water Quality-Determination of Perfluoroalkyl\nand\nPolyfluoroalkyl Substances (PFAS) in Water-Method Using Solid Phase\nExtraction and Liquid Chromatography-Tandem Mass Spectrometry (LC-MS\/MS)","author":"International Organization for Standardization.","year":"2019"},{"issue":"1","key":"2026101310173047700_cit26","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/s12302-023-00779-4","article-title":"NORMAN Guidance on Suspect and Non-Target Screening\nin Environmental Monitoring","volume":"35","author":"Hollender","year":"2023","journal-title":"Environ. Sci. Eur."},{"issue":"1","key":"2026101310173047700_cit27","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1021\/acs.analchem.1c04640","article-title":"Water Analysis:\nEmerging Contaminants and Current Issues","volume":"94","author":"Richardson","year":"2022","journal-title":"Anal.\nChem."},{"issue":"21","key":"2026101310173047700_cit28","doi-asserted-by":"publisher","first-page":"2534","DOI":"10.1093\/bioinformatics\/btn323","article-title":"ProteoWizard:\nOpen Source Software for Rapid Proteomics Tools Development","volume":"24","author":"Kessner","year":"2008","journal-title":"Bioinformatics"},{"issue":"10","key":"2026101310173047700_cit29","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1038\/s41587-020-0531-2","article-title":"A Lipidome Atlas in\nMS-DIAL 4","volume":"38","author":"Tsugawa","year":"2020","journal-title":"Nat. Biotechnol."},{"issue":"6","key":"2026101310173047700_cit30","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1038\/nmeth.3393","article-title":"MS-DIAL: Data-Independent MS\/MS Deconvolution\nfor Comprehensive Metabolome Analysis","volume":"12","author":"Tsugawa","year":"2015","journal-title":"Nat.\nMethods"},{"issue":"1","key":"2026101310173047700_cit31","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1021\/ac202450g","article-title":"CAMERA: An\nIntegrated Strategy for Compound Spectra Extraction and Annotation\nof Liquid Chromatography\/Mass Spectrometry Data Sets","volume":"84","author":"Kuhl","year":"2012","journal-title":"Anal. Chem."},{"issue":"3","key":"2026101310173047700_cit32","doi-asserted-by":"publisher","first-page":"4154","DOI":"10.1007\/s11356-023-30972-0","article-title":"Non-Target\nAnalysis for Water Characterization: Wastewater Treatment Impact and\nSelection of Relevant Features","volume":"31","author":"Motteau","year":"2024","journal-title":"Environ. Sci.\nPollut. Res."},{"issue":"5","key":"2026101310173047700_cit33","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s11306-016-1030-9","article-title":"Non-Targeted\nUHPLC-MS Metabolomic Data Processing Methods: A Comparative Investigation\nof Normalisation, Missing Value Imputation, Transformation and Scaling","volume":"12","author":"Di Guida","year":"2016","journal-title":"Metabolomics"},{"issue":"1","key":"2026101310173047700_cit34","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1186\/1471-2164-7-142","article-title":"Centering, Scaling, and Transformations:\nImproving the Biological Information Content of Metabolomics Data","volume":"7","author":"van den Berg","year":"2006","journal-title":"BMC Genomics"},{"issue":"1","key":"2026101310173047700_cit35","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1002\/cem.773","article-title":"Centering and Scaling in Component Analysis","volume":"17","author":"Bro","year":"2003","journal-title":"J. Chemom."},{"key":"2026101310173047700_cit36","first-page":"2825","article-title":"Scikit-learn: Machine\nLearning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"2026101310173047700_cit37","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1002\/cem.785","article-title":"Partial Least Squares\nfor Discrimination","volume":"17","author":"Barker","year":"2003","journal-title":"J. Chemom."},{"issue":"4","key":"2026101310173047700_cit38","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1111\/j.1467-9868.2010.00740.x","article-title":"Stability\nSelection","volume":"72","author":"Meinshausen","year":"2010","journal-title":"J. R. Stat.\nSoc. Ser. B"},{"issue":"38","key":"2026101310173047700_cit39","doi-asserted-by":"publisher","first-page":"14351","DOI":"10.1021\/acs.est.3c03770","article-title":"Target and Suspect\nScreening Integrated with Machine\nLearning to Discover Per- and Polyfluoroalkyl Substance Source Fingerprints","volume":"57","author":"Joseph","year":"2023","journal-title":"Environ. Sci. Technol."},{"issue":"Suppl 1","key":"2026101310173047700_cit40","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11306-011-0330-3","article-title":"Double-Check:\nValidation of Diagnostic Statistics for PLS-DA Models in Metabolomics\nStudies","volume":"8","author":"Szyman\u0301ska","year":"2012","journal-title":"Metabolomics"},{"issue":"6","key":"2026101310173047700_cit41","doi-asserted-by":"publisher","first-page":"2723","DOI":"10.1021\/acs.analchem.1c03202","article-title":"Assessing Reliability of Non-targeted\nHigh-Resolution Mass Spectrometry Fingerprints for Quantitative Source\nApportionment in Complex Matrices","volume":"94","author":"Peter","year":"2022","journal-title":"Anal. Chem."},{"issue":"37","key":"2026101310173047700_cit42","doi-asserted-by":"publisher","first-page":"20399","DOI":"10.1021\/acs.analchem.5c03642","article-title":"Enhanced Fingerprinting\nStrategy for Rapid and Accurate Quantitative Source and Contaminant\nApportionment via Online SPE-UHPLC-QTOF-MS","volume":"97","author":"Xia","year":"2025","journal-title":"Anal. Chem."},{"issue":"12","key":"2026101310173047700_cit43","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1021\/acs.estlett.0c00749","article-title":"Developing Unique Nontarget High-Resolution Mass Spectrometry\nSignatures to Track Contaminant Sources in Urban Waters","volume":"7","author":"Du","year":"2020","journal-title":"Environ. Sci. Technol. Lett."},{"key":"2026101310173047700_cit44","volume-title":"Solving Least Squares\nProblems","author":"Lawson","year":"1974"},{"issue":"3","key":"2026101310173047700_cit45","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0 Contributors.\nSciPy 1.0: Fundamental Algorithms for Scientific Computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat. Methods"},{"key":"2026101310173047700_cit46","volume-title":"Matrix Computations","author":"Golub","year":"2013","edition":"4th"},{"issue":"17","key":"2026101310173047700_cit47","doi-asserted-by":"publisher","first-page":"10070","DOI":"10.1021\/acs.est.9b02867","article-title":"Urban Stormwater:\nAn Overlooked Pathway of Extensive Mixed Contaminants to Surface and\nGroundwaters in the United States","volume":"53","author":"Masoner","year":"2019","journal-title":"Environ.\nSci. Technol."},{"issue":"10","key":"2026101310173047700_cit48","doi-asserted-by":"publisher","first-page":"6152","DOI":"10.1021\/acs.est.0c00872","article-title":"More Than a First Flush: Urban Creek Storm Hydrographs\nDemonstrate Broad Contaminant Pollutographs","volume":"54","author":"Peter","year":"2020","journal-title":"Environ. Sci. Technol."},{"key":"2026101310173047700_cit49","doi-asserted-by":"publisher","first-page":"119242","DOI":"10.1016\/j.envres.2024.119242","article-title":"Non-Target\nAnalysis of Danish Wastewater\nTreatment Plant Effluent: Statistical Analysis of Chemical Fingerprinting\nas a Step toward a Future Monitoring Tool","volume":"257","author":"Aggerbeck","year":"2024","journal-title":"Environ.\nRes."},{"key":"2026101310173047700_cit50","doi-asserted-by":"publisher","first-page":"126429","DOI":"10.1016\/j.watres.2026.126429","article-title":"Spatiotemporal dynamics of PFAS ecological\nrisk in major Chinese river networks: a data-driven assessment (2011\u20132024)","volume":"305","author":"Zhang","year":"2026","journal-title":"Water Res."},{"key":"2026101310173047700_cit51","doi-asserted-by":"publisher","first-page":"4298","DOI":"10.1021\/acs.est.5c07998","article-title":"Bridging Microscopic\nDynamics and Macroscopic Fate: A Molecular Dynamics\u2013Machine\nLearning Approach for Predicting PFAS Solid\u2013Liquid Distribution\nin Soils and Sediments","volume":"60","author":"Zhang","year":"2026","journal-title":"Environ. Sci. Technol."}],"container-title":["Environmental Science &amp;\nTechnology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.6c05353","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/esthag\/article-pdf\/60\/40\/29031\/68534232\/acs.est.6c05353.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/esthag\/article-pdf\/60\/40\/29031\/68534232\/acs.est.6c05353.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T19:25:52Z","timestamp":1791919552000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/esthag\/article\/60\/40\/29031\/5431440\/Tracing-Wastewater-Treatment-Plant-Influences-in"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,16]]},"references-count":51,"journal-issue":{"issue":"40","published-online":{"date-parts":[[2026,9,16]]},"published-print":{"date-parts":[[2026,10,13]]}},"URL":"https:\/\/doi.org\/10.1021\/acs.est.6c05353","relation":{},"ISSN":["0013-936X","1520-5851"],"issn-type":[{"value":"0013-936X","type":"print"},{"value":"1520-5851","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,16]]}}}