Rapid Characterization of Male and Female Taxus chinensis by Near-Infrared (NIR) Spectroscopy and High-Performance Liquid Chromatography (HPLC) with Orthogonal Partial Least Squares—Discriminant Analysis (OPLS-DA)

高效液相色谱法 色谱法 偏最小二乘回归 线性判别分析 化学 OPL公司 人工智能 数学 计算机科学 氢键 统计 有机化学 分子
作者
Xinrui Wang,Huaqiang Li,Jinling You,Qi Wang,Yunjie Sheng,Bingqian He,Fanjun Xu,Luping Qin,Xiongyu Meng
出处
期刊:Analytical Letters [Taylor & Francis]
卷期号:57 (7): 1106-1122 被引量:3
标识
DOI:10.1080/00032719.2023.2241141
摘要

AbstractTaxus chinensis var. mairei (T. chinensis) is a dioecious plant that is important in traditional Chinese medicine. However, information about male and female T. chinensis is absent. To establish a simple, rapid, and reliable method for the qualitative identification of male and female T. chinensis, near-infrared spectroscopy (NIR) and high-performance liquid chromatography (HPLC) with the orthogonal partial least-squares discriminate analysis (OPLS-DA) mode was performed. NIR and discriminant analysis (DA) were employed for the first time to distinguish male and female T. chinensis. Meanwhile, HPLC also was optimized to determine the contents of the bioactive ingredients 10-deacetyltaxol (10-DAT) and paclitaxel of T. chinensis. Herein, the results of the validation showed that the DA model using NIR had a correct differentiation of nearly 100% for male and female T. chinensis. Moreover, the HPLC results indicated that the content of paclitaxel and 10-DAT was higher in female plants than in males. Additionally, based on the HPLC content results of male and female T. chinensis, the OPLS-DA successfully distinguished male and female T. chinensis. Thus, combining HPLC and OPLS-DA to initially differentiate between males and females allowed further quantitative and qualitative analysis of male and female T. chinensis. This method provides an approach to the identification and quality control of traditional Chinese medicine.Keywords: dioecioushigh-performance liquid chromatography (HPLC)near-infrared spectroscopy (NIR)orthogonal partial least-squares discriminate analysis (OPLS-DA)Taxus chinensis var. mairei AcknowledgmentsThe authors gratefully acknowledge the experimental support from the Public Platform of Pharmaceutical Research Center, Academy of Chinese Medical Science, Zhejiang Chinese Medical University.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Zhejiang Provincial Natural Science Foundation of China (LQ22H270004 and LGC20B050010), Zhejiang Provincial Medicine and Health Science and Technology Plan Project (2022490995), Zhejiang Province Traditional Chinese Medicine Science and Technology Project (2023ZF087), Zhejiang Chinese Medical University Research Foundation (2021ZR08 and 2020ZG23), and Zhejiang Students' Technology and Innovation Program (2022R410 A025).

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