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基于多成分含量测定和模式识别对不同中国产地地黄两部位的评价

Evaluation of Two Parts of Rehd. from Different Chinese Areas by Multicomponent Content Determination and Pattern Recognition.

作者信息

Wei Min, Tuo Yangling, Zhang Ye, Deng Qi, Shi Cuiying, Chen Xuexian, Zhang Xu

机构信息

College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

People's Hospital of Luxian County, Luzhou 646100, China.

出版信息

J Anal Methods Chem. 2020 Oct 24;2020:8837526. doi: 10.1155/2020/8837526. eCollection 2020.

DOI:10.1155/2020/8837526
PMID:33163243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7604599/
Abstract

The purpose of this work is to establish a new method using high-performance liquid chromatography-diode array detection (HPLC-DAD) with chemometrics analysis to determine the content of catechin, isoquercetin, astragalin, phloridzin, trilobatin, and phloretin for one flavanol and five flavonoids, filter out the key compounds, and evaluate the quality of 26 batches of tender leaves and flower spikes of Rehd. (LP) from ten areas in China. The result showed that the HPLC-DAD method had excellent performance for accurate quantification analysis. S3 (tender leaf from Lushan, Sichuan) had the highest contents for six measured chemicals with trilobatin content of up to 27.82% in dry weight. S22 (flower spike from Liangping, Chongqing) had the highest content of phloridzin (up to 7.28%). All samples were divided into three types based on spatial distribution using principal component analysis. The result showed that the tender leaves and flower spikes from the same areas had many similar properties, and there were significant differences between the samples from different regions. Furthermore, phloridzin and trilobatin were identified as chemical markers for quality evaluation of two parts with different tender leaves and flower spikes of LP from geographical areas by orthogonal partial least squares discrimination analysis. These results will be helpful to establish an effective and comprehensive evaluation system of the development and utilization of LP resources.

摘要

本研究旨在建立一种利用高效液相色谱 - 二极管阵列检测(HPLC - DAD)结合化学计量学分析的新方法,用于测定儿茶素、异槲皮苷、黄芪苷、根皮苷、三叶苷和根皮素这一种黄烷醇和五种黄酮类化合物的含量,筛选出关键化合物,并评价来自中国十个地区的26批次川鄂连蕊茶(LP)嫩叶和花穗的质量。结果表明,HPLC - DAD方法在准确的定量分析方面具有优异的性能。S3(四川庐山的嫩叶)六种被测化学成分含量最高,三叶苷干重含量高达27.82%。S22(重庆梁平的花穗)根皮苷含量最高(高达7.28%)。利用主成分分析基于空间分布将所有样品分为三类。结果表明,来自同一地区的嫩叶和花穗具有许多相似的特性,不同地区的样品之间存在显著差异。此外,通过正交偏最小二乘法判别分析,确定根皮苷和三叶苷为来自不同地理区域的川鄂连蕊茶嫩叶和花穗两个部位质量评价的化学标志物。这些结果将有助于建立一个有效的、全面的川鄂连蕊茶资源开发利用评价体系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/c44404e99843/JAMC2020-8837526.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/600474dfd6cd/JAMC2020-8837526.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/2bfb3cef7e44/JAMC2020-8837526.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/3454409268bd/JAMC2020-8837526.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/c4982a4c50c9/JAMC2020-8837526.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/3470c23bd031/JAMC2020-8837526.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/c44404e99843/JAMC2020-8837526.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/600474dfd6cd/JAMC2020-8837526.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/2bfb3cef7e44/JAMC2020-8837526.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/3454409268bd/JAMC2020-8837526.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/c4982a4c50c9/JAMC2020-8837526.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/3470c23bd031/JAMC2020-8837526.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3155/7604599/c44404e99843/JAMC2020-8837526.006.jpg

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