Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA
Joint Authors
Huang, Jian
Yang, Lu
Ma, Qingdong
Chen, Xiaoxiang
Zhang, Ke
Yao, Dahong
Wang, Hangyu
Bulemasi, Santai
Wang, Jinhui
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The quality control of Saussurea involucrata has been greatly improved by macroscopic and microscopic identification and chemical profiling described in Chinese Pharmacopoeia since 2005.
However, these methods have their own limitations, e.g., their dependence on personal experience and expertise, and it is a huge challenge to identify closely related species that share similar or identical morphological characteristics and chemical profiles.
A novel and generally accepted identification strategy is urgently needed as a complement to regulations for protecting the public health interests.
In this work, a comprehensive chromatographic fingerprint method was developed and tested on 43 samples from four haplotypes of S.
involucrata according to DNA barcoding.
Three common patterns consisting of 20, 14, and 7 common peaks were generated by frequency filters of median, upper quartile, and 100%, respectively.
Based on two formerly screened patterns, S.
involucrata can be effectively identified from its five easily confused snow lotus species, including the most closely related plant (S.
orgaadayi) in the orthogonal partial least-squares discriminant analysis (OPLS-DA) models.
The model is supported by good R and Q coefficients.
In addition, different haplotypes of S.
involucrata can be discriminated in the OPLS-DA model using the 20 common peaks.
Among them, peaks 9, 11, 16 (zaluzanin C), and 18 (dehydrocostus lactone) have been identified as fingerprint markers of S.
involucrata via S-plots and VIP values (>1).
Additionally, peaks 19 and 20 were identified as linolenic acid and linoleic acid with anti-inflammatory activity, and they were isolated from the herb for the first time.
Collectively, the chromatographic fingerprint of S.
involucrata can be an effective and integrated method for the identification of authentic herbs from adulterant species or related plants, and discrimination of its different haplotypes provides an objective and reliable tool for quality control.
American Psychological Association (APA)
Ma, Qingdong& Chen, Xiaoxiang& Zhang, Ke& Yao, Dahong& Yang, Lu& Wang, Hangyu…[et al.]. 2020. Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA. Journal of Analytical Methods in Chemistry،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1174848
Modern Language Association (MLA)
Ma, Qingdong…[et al.]. Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA. Journal of Analytical Methods in Chemistry No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1174848
American Medical Association (AMA)
Ma, Qingdong& Chen, Xiaoxiang& Zhang, Ke& Yao, Dahong& Yang, Lu& Wang, Hangyu…[et al.]. Chemical Fingerprint Analysis for Discovering Markers and Identifying Saussurea involucrata by HPLC Coupled with OPLS-DA. Journal of Analytical Methods in Chemistry. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1174848
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174848