{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li C"],"funding":["National Natural Science Foundation","Heilongjiang Touyan Innovation Team Program","Fundamental Research Fund for Central Universities"],"pagination":["210614"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8548788"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(10)"],"pubmed_abstract":["A quality assessment method based on quantitative analysis of multi-components by single marker (QAMS) and fingerprint was constructed from 15 batches of dandelion (<i>Taraxacum mongolicum</i>), using multivariate chemometric methods (MCM). MCM were established by hierarchical cluster analysis (HCA) and factor analysis (FA). HCA was especially performed using the R language and SPSS 22.0 software. The relative correction factors of chlorogenic acid, caffeic acid, p-coumaric acid, luteolin and apigenin were calculated with cichoric acid as a reference, and their contents were determined. The differences between external standard method (ESM) and QAMS were compared. There was no significant difference (<i>t</i>-test, <i>p</i> > 0.05) in quantitative determination, proving the consistency of "],"journal":["Royal Society open science"],"pubmed_title":["Application of fingerprint combined with quantitative analysis and multivariate chemometric methods in quality evaluation of dandelion (<i>Taraxacum mongolicum</i>)."],"pmcid":["PMC8548788"],"funding_grant_id":["31870609","2572019CZ01"],"pubmed_authors":["Li C","Zhao C","Li S","Qiao B","Tian Y","Wang T","Fu Y"],"additional_accession":[]},"is_claimable":false,"name":"Application of fingerprint combined with quantitative analysis and multivariate chemometric methods in quality evaluation of dandelion (<i>Taraxacum mongolicum</i>).","description":"A quality assessment method based on quantitative analysis of multi-components by single marker (QAMS) and fingerprint was constructed from 15 batches of dandelion (<i>Taraxacum mongolicum</i>), using multivariate chemometric methods (MCM). MCM were established by hierarchical cluster analysis (HCA) and factor analysis (FA). HCA was especially performed using the R language and SPSS 22.0 software. The relative correction factors of chlorogenic acid, caffeic acid, p-coumaric acid, luteolin and apigenin were calculated with cichoric acid as a reference, and their contents were determined. The differences between external standard method (ESM) and QAMS were compared. There was no significant difference (<i>t</i>-test, <i>p</i> > 0.05) in quantitative determination, proving the consistency of ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2025-04-19T18:10:06.634Z","creation":"2025-04-19T18:10:06.634Z"},"accession":"S-EPMC8548788","cross_references":{"pubmed":["34729206"],"doi":["10.1098/rsos.210614"]}}