基于TLC、HPLC指纹图谱和定量分析结合化学模式识别的不同产地肾茶颗粒的质量评价

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Yangling Li, Ying Su, Yongjuan Liang, Fangchan Li, Ning Lin, Lin Jiang, Qinghua Lin, Qing Chen
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引用次数: 0

摘要

简介肾茶是一种重要的草药。它被广泛用于治疗泌尿系统结石、胆结石和类风湿性关节炎等疾病。目前,还没有标准化或被广泛接受的研究策略来评估制粒后的肾茶颗粒(KTGs)的质量:在本研究中,我们旨在建立一套全面的策略,用于评估从不同来源的肾茶中提取的肾茶颗粒的质量:方法:采用 TLC 结合 HPLC 的方法鉴定肾茶中的化学成分,并采用 HPLC 方法测定肾茶中的迷迭香酸含量。为了区分样品并确定差异成分,进行了相似性分析、层次聚类分析(HCA)、主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA):TLC和HPLC检测确认了KTGs的三种化学成分,即迷迭香酸、咖啡酸和石蒜酸。高效液相色谱指纹图谱分析显示,15 批 KTGs 共有 7 个共同峰。相似性分析表明,所有 15 批 KTGs 的相似性均大于 0.969。通过化学模式识别对这 7 个共同峰的峰面积进行了识别,结果表明不同产地的 KTG 大多聚类在一起,相互之间差异较小。PCA和OPLS-DA结果表明,两个主成分可代表82.638%的KTGs共性峰,其中第5峰代表迷迭香酸,是不同产地KTGs的主要差异生物标志物。利用 HPLC 指纹条件对 KTG 样品中的迷迭香酸进行了定量分析,测得 15 批 KTG 样品中迷迭香酸的含量在 8.01-14.61 mg/g 之间:本研究将TLC、HPLC和化学计量学相结合,建立了一种稳定可靠的方法,可快速有效地鉴定KTGs中的成分,准确定量KTGs中的已知成分,为KTGs的质量评价提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality Evaluation of Kidney Tea Granules From Different Origins Based on TLC, HPLC Fingerprinting, and Quantitative Analysis Combined With Chemical Pattern Recognition.

Introduction: Kidney tea is an essential herbal medicine. It is widely used to treat conditions such as urinary stones, gallstones, and rheumatoid arthritis. There is currently no standardized or widely accepted research strategy for evaluating the quality of kidney tea granules (KTGs) after granulation.

Objectives: In this study, we aim to establish a comprehensive strategy for evaluating the quality of KTGs produced from different sources of kidney tea.

Methods: A TLC combined with HPLC method was established to identify the chemical components in KTGs, and HPLC method was used to determine the contents of rosmarinic acid of KTGs. In order to distinguish samples and identify differential components, similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were conducted.

Results: TLC and HPLC detection confirmed three chemical components of KTGs, which are rosmarinic acid, caffeic acid, and lithospermic acid. HPLC fingerprint analysis revealed a total of seven common peaks in 15 batches of KTGs. Similarity analysis showed that the similarity of all 15 batches of KTGs was greater than 0.969. The peak areas of the seven common peaks were identified by chemical pattern recognition, and the results showed that most of the KTGs from different origins were clustered together, with small differences between them. The PCA and OPLS-DA results showed that two principal components can represent 82.638% of the common peaks of KTGs, among which peak 5 represents rosmarinic acid, which is the main differential biomarker of KTGs from different regions. Quantitative analysis of rosmarinic acid in KTG samples was performed using HPLC fingerprint conditions and the content of rosmarinic acid in 15 batches of KTGs samples was measured to be between 8.01-14.61 mg/g.

Conclusion: This study combines TLC, HPLC, and chemometrics to establish a stable and reliable method that can quickly and effectively identify the components of KTGs, accurately quantify known components in KTGs, and provide reference for the quality evaluation of KTGs.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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