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Phytochem Anal


Title:Rapid authentication of Chaenomeles species by visual volatile components fingerprints based on headspace gas chromatography-ion mobility spectrometry combined with chemometric analysis
Author(s):Tian S; Guo H; Zhang M; Yan H; Wang X; Zhao H;
Address:"Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Centre, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China. Department of Pharmacy, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"
Journal Title:Phytochem Anal
Year:2022
Volume:20220826
Issue:8
Page Number:1198 - 1204
DOI: 10.1002/pca.3170
ISSN/ISBN:1099-1565 (Electronic) 0958-0344 (Linking)
Abstract:"INTRODUCTION: Chaenomeles, including Chaenomeles speciosa (ZP), Chaenomeles sinensis (GP), Chaenomeles tibetica (XZ), and Chaenomeles japonica (RB), has been widely used as food in China for thousands of years. However, only ZP, was recorded to be the authentic medicinal Chaenomeles. Therefore, the rapid and accurate method for the authenticity identification of Chaenomeles species is urgently needed. OBJECTIVE: To develop a method for rapid differentiation of Chaenomeles species. METHODS: The visual volatile components fingerprints based on headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) combined with chemometric analysis, including principal component analysis (PCA), linear discriminant analysis (LDA) and partial least-squares discriminant analysis (PLS-DA), were utilised for the authentication of Chaenomeles species. RESULTS: The visual volatile components fingerprints by the GC-IMS intuitively showed the distribution features of the volatile components for different Chaenomeles samples. The LDA and PLS-DA models successfully discriminated Chaenomeles species with original discrimination accuracy of 100%. Fifteen volatile compounds (VOCs) (peaks 9, 12, 13, 19, 23, 24, 35, 48, 57, 65, 67, 76, 79, 80, 83) were selected as the potential species-specific markers of Chaenomeles via variable importance of projection (VIP > 1.2) and one-way analysis of variance (P < 0.05). CONCLUSIONS: This study showed that the visual volatile components fingerprints by HS-GC-IMS combined with chemometric analysis is a meaningful method in the Chaenomeles species authentication"
Keywords:Ion Mobility Spectrometry/methods Gas Chromatography-Mass Spectrometry/methods *Volatile Organic Compounds/analysis *Rosaceae Chemometrics Chaenomeles headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) species authentication visual volatil;
Notes:"MedlineTian, Shanming Guo, Huanying Zhang, Minmin Yan, Huijiao Wang, Xiao Zhao, Hengqiang eng ZR2021MH047/Shandong Provincial Natural Science Foundation/ 2021ZDSYS12/Shandong Provincial Key Research and Development Programme (Major Technological Innovation Project)/ 2021CXGC010508/Shandong Provincial Key Research and Development Programme (Major Technological Innovation Project)/ 2060302/Key Project at Central Government Level/ England 2022/08/27 Phytochem Anal. 2022 Dec; 33(8):1198-1204. doi: 10.1002/pca.3170. Epub 2022 Aug 26"

 
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