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UHPLC 指纹图谱结合化学模式识别分析在六种物种鉴别中的应用

Application of UHPLC Fingerprints Combined with Chemical Pattern Recognition Analysis in the Differentiation of Six Species.

机构信息

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China.

Shenzhen Institute for Drug Control, Shenzhen 518057, China.

出版信息

Molecules. 2021 Nov 13;26(22):6855. doi: 10.3390/molecules26226855.

DOI:10.3390/molecules26226855
PMID:34833946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8618991/
Abstract

, especially and , is an increasingly widely used traditional medicine or dietary supplement in Asian and western countries. Because of the phytochemical diversity and difference of therapeutic efficacy among species, it is crucial to accurately identify them. In this study, a simple and efficient method of the classification of , , and their confusable species (, , and ) was established by UHPLC fingerprints combined with chemical pattern recognition analysis. The results showed that similarity analysis and principal component analysis (PCA) could not achieve accurate classification among the six species. Linear discriminant analysis (LDA) combined with stepwise feature selection exhibited effective discrimination. Seven characteristic peaks that are responsible for accurate classification were selected, and their distinguishing ability was successfully verified by partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), respectively. Finally, the components of these seven characteristic peaks were identified as 1-(2-Hydroxy-2-methylbutanoate) β-D-glucopyranose, 4-O-glucosyl-p-coumaric acid, salidroside, epigallocatechin, 1,2,3,4,6-pentagalloyglucose, epigallocatechin gallate, and (+)-isolarisiresinol-4'-O-β-D-glucopyranoside or (+)-isolarisiresinol-4-O-β-D-glucopyranoside, respectively. The results obtained in our study provided useful information for authenticity identification and classification of species.

摘要

, 特别是, 作为一种在亚洲和西方国家中越来越广泛应用的传统药物或膳食补充剂。由于 种间的植物化学多样性和治疗效果的差异,准确识别它们至关重要。在这项研究中,我们建立了一种简单而有效的方法,通过 UHPLC 指纹图谱结合化学模式识别分析对 、 及其易混淆种( 、 、 )进行分类。结果表明,相似性分析和主成分分析(PCA)无法实现这六种 种间的准确分类。线性判别分析(LDA)结合逐步特征选择表现出有效的判别能力。选择了七个特征峰,这些特征峰可用于准确分类,通过偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)分别成功验证了它们的区分能力。最后,鉴定出这七个特征峰的成分分别为 1-(2-羟基-2-甲基丁酸盐)β-D-吡喃葡萄糖苷、4-O-葡萄糖基对香豆酸、红景天苷、表儿茶素、1,2,3,4,6-五没食子酰葡萄糖、表没食子儿茶素没食子酸酯和(+)-异落叶松脂醇-4'-O-β-D-吡喃葡萄糖苷或(+)-异落叶松脂醇-4-O-β-D-吡喃葡萄糖苷。我们的研究结果为 种的真实性鉴定和分类提供了有用的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/c661fce3be8d/molecules-26-06855-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/2b277a9ed23c/molecules-26-06855-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/2a8c990b5194/molecules-26-06855-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/7e8fb9a1f8ec/molecules-26-06855-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/c661fce3be8d/molecules-26-06855-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/2b277a9ed23c/molecules-26-06855-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/2a8c990b5194/molecules-26-06855-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/7e8fb9a1f8ec/molecules-26-06855-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcad/8618991/c661fce3be8d/molecules-26-06855-g004.jpg

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