{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(53)"],"submitter":["Shengyun D"],"pubmed_abstract":["In the current work, <i>Lonicera japonica</i> Flos (FLJ) was selected as a model Chinese herbal medicine (CHM) and a protocol was proposed for the rapid detection of sulfur-fumigated (SF) CHMs. A multiple metabonomics analysis was conducted using HPLC, NIR spectroscopy and a UHPLC-LTQ-Orbitrap mass spectrometer. First, the group discriminatory potential of each technique was respectively investigated based on PCA. Then, the effect of mid-level metabonomics data fusion on sample spatial distribution was evaluated based on data obtained using the above three technologies. Furthermore, based on the acquired HRMS data, 76 markers discriminating SF from non-sulfur-fumigated (NSF) CHMs were observed and 49 of them were eventually characterized. Moreover, NIR absorptions of 18 sulfur-containing m"],"journal":["RSC advances"],"pagination":["31150-31161"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9072333"],"repository":["biostudies-literature"],"pubmed_title":["A proposed protocol based on integrative metabonomics analysis for the rapid detection and mechanistic understanding of sulfur fumigation of Chinese herbal medicines."],"pmcid":["PMC9072333"],"pubmed_authors":["Jiayu Z","Fei W","Shengyun D","Xiaodan M","Yuqi W"],"additional_accession":[]},"is_claimable":false,"name":"A proposed protocol based on integrative metabonomics analysis for the rapid detection and mechanistic understanding of sulfur fumigation of Chinese herbal medicines.","description":"In the current work, <i>Lonicera japonica</i> Flos (FLJ) was selected as a model Chinese herbal medicine (CHM) and a protocol was proposed for the rapid detection of sulfur-fumigated (SF) CHMs. A multiple metabonomics analysis was conducted using HPLC, NIR spectroscopy and a UHPLC-LTQ-Orbitrap mass spectrometer. First, the group discriminatory potential of each technique was respectively investigated based on PCA. Then, the effect of mid-level metabonomics data fusion on sample spatial distribution was evaluated based on data obtained using the above three technologies. Furthermore, based on the acquired HRMS data, 76 markers discriminating SF from non-sulfur-fumigated (NSF) CHMs were observed and 49 of them were eventually characterized. Moreover, NIR absorptions of 18 sulfur-containing m","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Sep","modification":"2025-05-18T12:07:07.921Z","creation":"2025-04-04T07:31:42.812Z"},"accession":"S-EPMC9072333","cross_references":{"pubmed":["35529375"],"doi":["10.1039/c9ra05032a"]}}