{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:52:02Z","timestamp":1790596322664,"version":"4.1.0"},"reference-count":22,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81573586"],"award-info":[{"award-number":["81573586"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82404858"],"award-info":[{"award-number":["82404858"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Chromatography A"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1016\/j.chroma.2025.465826","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T16:10:03Z","timestamp":1740759003000},"page":"465826","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["An quality evaluation method based on three-dimensional integration and machine learning: Advanced data processing"],"prefix":"10.1016","volume":"1747","author":[{"given":"Jianglei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liuwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Lan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoxiang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.chroma.2025.465826_bib0001","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1007\/s11418-024-01837-8","article-title":"Development of a determination method for quality control markers utilizing metabolic profiling and its application on processed Zingiber officinaleRoscoe rhizome","volume":"78","author":"Kanai","year":"2024","journal-title":"J. Nat. Med."},{"key":"10.1016\/j.chroma.2025.465826_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.microc.2024.111771","article-title":"Utilizing HPLC-DAD, multivariate analysis, molecular docking, and in vitro validation methods to investigate phenolic compounds with potential antidiabetic properties in Fraxinus mandshurica","volume":"207","author":"Guo","year":"2024","journal-title":"Microchem. J."},{"issue":"49","key":"10.1016\/j.chroma.2025.465826_bib0003","doi-asserted-by":"crossref","first-page":"7648","DOI":"10.1016\/j.chroma.2010.09.023","article-title":"Targeted three-dimensional liquid chromatography A versatile tool for quantitative trace analysis in complex matrices","volume":"1217","author":"Simpkins","year":"2010","journal-title":"J. Chromatogr. A"},{"key":"10.1016\/j.chroma.2025.465826_bib0004","first-page":"1700","article-title":"Three-dimensional characteristic chromatogram by online comprehensive two-dimensional liquid chromatography: application to the identification and differentiation of ginseng from herbal medicines to various Chinese patent medicines","author":"Xu","year":"2023","journal-title":"J. Chromatogr. A"},{"issue":"40","key":"10.1016\/j.chroma.2025.465826_bib0005","doi-asserted-by":"crossref","first-page":"6916","DOI":"10.1039\/D4AY01451K","article-title":"Multivariate HPLC system assessment and optimization for traditional Chinese medicine: a case study of Gastrodia elata","volume":"16","author":"Xu","year":"2024","journal-title":"Anal. Methods"},{"issue":"27","key":"10.1016\/j.chroma.2025.465826_bib0006","doi-asserted-by":"crossref","first-page":"4082","DOI":"10.1039\/C7AY00916J","article-title":"Development of a HPLC-DAD method combined with multicomponent chemometrics and antioxidant capacity to monitor the quality consistency of compound bismuth aluminate tablets by comprehensive quantified fingerprint method","volume":"9","author":"Yang","year":"2017","journal-title":"Anal. Methods"},{"key":"10.1016\/j.chroma.2025.465826_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodcont.2021.108795","article-title":"Geographical origin identification and chemical markers screening of Chinese green tea using two-dimensional fingerprints technique coupled with multivariate chemometric methods","volume":"135","author":"Gu","year":"2022","journal-title":"Food Control"},{"key":"10.1016\/j.chroma.2025.465826_bib0008","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-15-S12-S8","article-title":"An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm","volume":"15","author":"Cui","year":"2014","journal-title":"BMC Bioinform."},{"key":"10.1016\/j.chroma.2025.465826_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.aca.2020.12.032","article-title":"Towards spatial comprehensive three-dimensional liquid chromatography: a tutorial review","volume":"1148","author":"Themelis","year":"2021","journal-title":"Anal. Chim. Acta"},{"issue":"6","key":"10.1016\/j.chroma.2025.465826_bib0010","first-page":"298","article-title":"Controlling retention time drift in industrial chromatography","volume":"39","author":"Rohrback","year":"2021","journal-title":"LCGC N. Am."},{"key":"10.1016\/j.chroma.2025.465826_bib0011","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.chemolab.2012.02.003","article-title":"Comprehensive two-dimensional gas chromatography (GC x GC) retention time shift correction and modeling using bilinear peak alignment, correlation optimized shifting and multivariate curve resolution","volume":"117","author":"Parastar","year":"2012","journal-title":"Chemom. Intell. Lab. Syst."},{"issue":"2","key":"10.1016\/j.chroma.2025.465826_bib0012","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1002\/btpr.1680","article-title":"Chromatographic peak alignment using derivative dynamic time warping","volume":"29","author":"Bork","year":"2013","journal-title":"Biotechnol. Prog."},{"issue":"9","key":"10.1016\/j.chroma.2025.465826_bib0013","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1039\/C8AY00084K","article-title":"Chemometric assisted correlation optimized warping of chromatograms: optimizing the computational time for correcting the drifts in chromatographic peak positions","volume":"10","author":"Kumar","year":"2018","journal-title":"Anal. Methods"},{"issue":"1","key":"10.1016\/j.chroma.2025.465826_bib0014","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1186\/s12245-024-00681-7","article-title":"Development of decision tree classification algorithms in predicting mortality of COVID-19 patients","volume":"17","author":"Mohammadi-Pirouz","year":"2024","journal-title":"Int. J. Emerg. Med."},{"issue":"11","key":"10.1016\/j.chroma.2025.465826_bib0015","doi-asserted-by":"crossref","DOI":"10.1007\/s10661-024-13206-9","article-title":"Modelling water quality parameters using model tree, random forest, and non-linear regression for Mula-Mutha River, Pune, India","volume":"196","author":"Sahu","year":"2024","journal-title":"Environ. Monit. Assess."},{"key":"10.1016\/j.chroma.2025.465826_bib0016","first-page":"1681","article-title":"High performance liquid chromatography three-wavelength fusion fingerprint combined with electrochemical fingerprint and antioxidant method to evaluate the quality consistency of Mingmu Dihuang Pill","author":"Li","year":"2022","journal-title":"J. Chromatogr. A"},{"key":"10.1016\/j.chroma.2025.465826_bib0017","first-page":"1251","article-title":"Quality control of Hugan capsule based on four-wavelength fusion profiling and electrochemical fingerprint combined with antioxidant activity and chemometric analysis","author":"Chen","year":"2023","journal-title":"Anal. Chim. Acta"},{"issue":"6","key":"10.1016\/j.chroma.2025.465826_bib0018","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1093\/chromsci\/bmu161","article-title":"The application of dynamic time warping to the quality evaluation of Radix Puerariae thomsonii: correcting retention time shift in the chromatographic fingerprints","volume":"53","author":"Jiao","year":"2015","journal-title":"J. Chromatogr. Sci."},{"issue":"1","key":"10.1016\/j.chroma.2025.465826_bib0019","first-page":"8","article-title":"The application of automated correlation optimized warping to the quality evaluation of Radix Puerariae thomsonii: correcting retention time shift in the chromatographic fingerprints","volume":"38","author":"Jiao","year":"2015","journal-title":"Quim. Nova"},{"issue":"2","key":"10.1016\/j.chroma.2025.465826_bib0020","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1039\/C7AY02340E","article-title":"Optimizing the process of reference selection for correlation optimised warping (COW) and interval correlation shifting (icoshift) analysis: automating the chromatographic alignment procedure","volume":"10","author":"Kumar","year":"2018","journal-title":"Anal. Methods"},{"issue":"16","key":"10.1016\/j.chroma.2025.465826_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e36373","article-title":"Genetic algorithm multiple linear regression and machine learning-driven QSTR modeling for the acute toxicity of sterol biosynthesis inhibitor fungicides","volume":"10","author":"Abbod","year":"2024","journal-title":"Heliyon"},{"key":"10.1016\/j.chroma.2025.465826_bib0022","doi-asserted-by":"crossref","DOI":"10.1186\/s13321-015-0054-x","article-title":"Predicting volume of distribution with decision tree-based regression methods using predicted tissue : plasma partition coefficients","volume":"7","author":"Freitas","year":"2015","journal-title":"J. Cheminform."}],"container-title":["Journal of Chromatography A"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0021967325001748?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0021967325001748?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T05:06:40Z","timestamp":1741669600000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0021967325001748"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":22,"alternative-id":["S0021967325001748"],"URL":"https:\/\/doi.org\/10.1016\/j.chroma.2025.465826","relation":{},"ISSN":["0021-9673"],"issn-type":[{"value":"0021-9673","type":"print"}],"subject":[],"published":{"date-parts":[[2025,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An quality evaluation method based on three-dimensional integration and machine learning: Advanced data processing","name":"articletitle","label":"Article Title"},{"value":"Journal of Chromatography A","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.chroma.2025.465826","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"465826"}}