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Quality Control of Gastrodia elata by High-Performance Liquid Chromatography with Fluorescence Detection (HPLC–FLD) and Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA)
Analytical Letters ( IF 1.6 ) Pub Date : 2019-10-10 , DOI: 10.1080/00032719.2019.1674867
Bocheng Yu 1 , Zhen Li 1 , Jinyi Wu 1 , Jiamin Ying 1 , Yuqing Tang 1 , Bingchu Wu 1 , Chunlan Tang 1 , Jinyan Xu 2
Affiliation  

Abstract A high-performance liquid chromatography with fluorescence detection (HPLC–FLD) and principal component analysis (PCA) and hierarchical cluster analysis (HCA) were developed for the quality control of Gastrodia elata. The developed protocols were successfully applied to the analysis and evaluation of 47 batches of this material from eight regions. A standard fluorescence fingerprint for G. elata was established based on 12 common peaks measured in all samples and the similarities between sample fingerprints and standard fingerprint were almost greater than 0.85. The results of PCA and HCA analysis showed that the samples from the eight regions could be classified into three groups. The correlation between the fingerprints and antioxidant activities was investigated by a stepwise regression model and Pearson correlation analysis. Gastrodigenin and parishin E were screened and validated as potential antioxidant markers of G. elata. This study provides a valuable reference for the evaluation of G. elata and other herbal medicines or their related foods.

中文翻译:

通过荧光检测高效液相色谱 (HPLC–FLD) 和主成分分析 (PCA) 和分层聚类分析 (HCA) 对天麻进行质量控制

摘要 开发了一种具有荧光检测功能的高效液相色谱 (HPLC-FLD) 和主成分分析 (PCA) 以及层次聚类分析 (HCA),用于天麻的质量控制。开发的方案已成功应用于来自八个地区的 47 批该材料的分析和评估。基于所有样品中测得的12个共同峰建立了G. elata的标准荧光指纹,样品指纹与标准指纹的相似度几乎大于0.85。PCA和HCA分析结果表明,来自8个区域的样品可分为三组。通过逐步回归模型和Pearson相关分析研究指纹与抗氧化活性之间的相关性。天麻素和parishin E 被筛选和验证为G. elata 的潜在抗氧化标记物。本研究为紫草等中药材或其相关食品的评价提供了有价值的参考。
更新日期:2019-10-10
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