Quality evaluation of compounds in leaves of six Taxus species based on UPLC-MS/MS and chemometrics.

Autor:	Cai Q; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Song Q; Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China., Jiang K; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Lin Y; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Zhang Y; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Zhang J; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Lin S; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Huang L; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Xue Q; Fujian South Pharmaceutical Co., Ltd., Sanming, China., Huang Z; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Xu W; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Xu W; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China., Yam MF; College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China.; Department of Pharmacology, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Jazyk:	angličtina
Zdroj:	Frontiers in chemistry [Front Chem] 2023 May 31; Vol. 11, pp. 1193188. Date of Electronic Publication: 2023 May 31 (Print Publication: 2023).
DOI:	10.3389/fchem.2023.1193188
Abstrakt:	Introduction: Taxus species are used as medicinal plants all over the world. The leaves of Taxus species are sustainable medicinal resources that are rich in taxoids and flavonoids. However, traditional identification methods cannot effectively identify Taxus species on the basis of leaces used as raw medicinal materials, because their appearance and morphological characteristics are almost the same, and the probability of error identification increases in accordance with the subjective consciousness of the experimenter. Moreover, although the leaves of different Taxus species have been widely used, their chemical components are similar and lack systematic comparative research. Such a situation is challenging for quality assessment. Materials and methods: In this study, ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometry combined with chemometrics was applied for the simultaneous determination of eight taxoids, four flavanols, five flavonols, two dihydroflavones, and five biflavones in the leaves of six Taxus species, namely, T. mairei , T. chinensis , T. yunnanensis , T. wallichiana , T. cuspidata , and T. media . Chemometric methods, including hierarchical cluster analysis, principal component analysis, orthogonal partial least squares-discriminate analysis, random forest iterative modeling, and fisher linear discriminant analysis, were utilized to differentiate and evaluate the six Taxus species. Results: This proposed method exhibited good linearity ( R 2 = 0.9999-0.9972) with a lower quantification limits of 0.94-3.05 ng/mL for all analytes. The intra- and inter-day precisions were within 6.83%. Six compounds, namely, 7-xylosyl-10-deacetyltaxol, ginkgetin, rutin, aromadendrin, 10-deacetyl baccatin III, and epigallocatechin, were identified through chemometrics for the first time. These compounds can be used as important chemical markers to distinguish the above six Taxus species rapidly. Conclusion: This study established a method for determination of the leaves of six Taxus species, and revealing the differences in the chemical components of these six Taxus species. Competing Interests: Author QX was employed by Fujian South Pharmaceutical Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Cai, Song, Jiang, Lin, Zhang, Zhang, Lin, Huang, Xue, Huang, Xu, Xu and Yam.)
Databáze:	MEDLINE
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