Study on Quality Evaluation of Tibetan Dracocephali tangutici Herba Based on DNA Barcode and HPLC Fingerprinting.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2025-01-21 DOI:10.1002/pca.3503
Dawa Zhuoma, Duan Tingyin, Lan Jun, Qun Pei, Cidan Duoji, Du Feng, Deng Fang, Zhou Yan
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Abstract

Objectives: The quality of 30 batches of the Tibetan Dracocephali tangutici Herba was evaluated using HPLC fingerprinting and DNA sequences.

Methods: Botanical identification of 30 batches of D. tangutici herba was conducted using the DNA barcoding approach, specifically analyzing the ITS and rbcL sequences. HPLC fingerprints of Tibetan Dracocephali tangutici Herba were established. The quality of 30 batches of D. tangutici herba was comprehensively evaluated using principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and entropy weighting method (EWM) combined with grey relation analysis (GRA).

Results: The botanical provenance of all 30 batches of herbs was proven to be Dracocephali tangutici Maxim. using DNA barcoding techniques, namely, ITS sequence and rbcL sequence testing. A total of 17 common peaks were chosen from the HPLC fingerprinting analysis. Among these, three peaks were recognized by comparing them with three reference standards: chlorogenic acid, cryptochlorogenic acid, and salvianolic acid B. The similarity scores of the 30 batches of D. tangutici herba varied between 0.846 and 0.991. The 30 batches of samples were categorized into two groups using PCA. The findings from OPLS-DA indicated that chlorogenic acid and four flavonoids could be the crucial components for evaluating the quality of D. tangutici herba. Additionally, the combined evaluation results of EWM and GRA suggested that the quality of the 30 batches of samples varied significantly.

Conclusion: The results of this study can provide a reference basis for the development of quality standards for D. tangutici herba in Tibet.

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基于DNA条形码和高效液相色谱指纹图谱的藏龙头药材质量评价研究。
目的:采用HPLC指纹图谱法和DNA序列法对30批藏药的质量进行评价。方法:采用DNA条形码法对30批唐古丹草进行植物学鉴定,重点分析ITS和rbcL序列。建立了藏龙头草的HPLC指纹图谱。采用主成分分析(PCA)、正交偏最小二乘判别分析(OPLS-DA)、熵权法(EWM)结合灰色关联分析(GRA)对30批唐古藤药材质量进行综合评价。结果:30批药材的植物来源均为龙头草。采用DNA条形码技术,即ITS序列和rbcL序列检测。HPLC指纹图谱分析共选取了17个共同峰。其中,通过与绿原酸、隐绿原酸、丹酚酸b 3个标准品对比,识别出3个峰,30批唐古丹的相似度得分在0.846 ~ 0.991之间。采用主成分分析法将30批样品分为两组。OPLS-DA分析结果表明,绿原酸和4种黄酮类化合物可作为唐唐药材质量评价的重要成分。此外,EWM和GRA的综合评价结果表明,30批样品的质量差异显著。结论:本研究结果可为制定西藏产唐葛药材质量标准提供参考依据。
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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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