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来自中国不同地理来源的……的比较化学特征 (原文中“from geographical origins of China”前面缺少具体所指事物,翻译不太完整准确)

Comparative chemical characters of from geographical origins of China.

作者信息

Sha Miao, Li Xiaohuan, Liu Yu, Tian Hongyue, Liang Xu, Li Xia, Gao Wenyuan

机构信息

Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300193, China.

出版信息

Chin Herb Med. 2023 Mar 21;15(3):439-446. doi: 10.1016/j.chmed.2022.10.005. eCollection 2023 Jul.

DOI:10.1016/j.chmed.2022.10.005
PMID:37538864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10394325/
Abstract

OBJECTIVE

has been paid more attention in recent years, mainly as a medicine food homology plant. The content determination of is not specified in the (version 2020). The environmental conditions in different production areas could exert an influence on the quality of . The purpose of this study is to discriminate collected from different geographical origins of China.

METHODS

In this study, the content of polysaccharide in 28 batches of was determined using phenol-sulfuric acid. HPLC fingerprints were established under optimised HPLC-PDA methods. Subsequently, the similarity analysis (SA) and the quantification of heterophyllin B were analyzed. The metabolites of were identified and evaluated using UHPLC-Q Exactive HF orbitrap MS system. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and orthogonal PLS-DA (OPLS-DA) were performed based on all peak areas.

RESULTS

The polysaccharide content in Guizhou and Jiangsu was higher than that of other production areas, which varied significant from different origins. While the content of heterophyllin B in Anhui and Jiangsu was high. The correlation coefficients of HPLC fingerprints for 28 batches samples ranged from 0.877 to 0.990, and the characteristic map can be used to identify and evaluate the quality of . The samples from Fujian, Guizhou, Jiangsu provinces can be relatively separated using multivariate statistical analysis including PCA, PLS-DA, HCA, OPLS-DA, indicating that their metabolic compositions were significantly different. Ultimately, a total of 15 metabolites which were filtrated by a VIP-value > 1 and a -value < 0.05 associated with the separation of different origins were identified.

CONCLUSION

HPLC fingerprint was established to evaluate the quality and authenticity of . The present work showed that the difference of geographic distributions had an influence on the internal chemical compositions. A sensitive and rapid untargeted metabolomics approach by UHPLC-Q Exactive HF orbitrap MS was utilized to evaluate from different origins in China for the first time. Overall, this study provides insights to metabolomics of and supplies important reference values for the development of functional foods.

摘要

目的

近年来受到更多关注,主要作为一种药食同源植物。《中国药典》(2020年版)未规定其含量测定方法。不同产地的环境条件可能会对其质量产生影响。本研究的目的是鉴别采自中国不同地理来源的该植物。

方法

本研究采用苯酚-硫酸法测定28批次该植物中多糖的含量。在优化的高效液相色谱-光电二极管阵列检测(HPLC-PDA)方法下建立HPLC指纹图谱。随后,进行相似度分析(SA)和异叶败酱素B的定量分析。使用超高效液相色谱-四极杆-轨道阱高分辨质谱(UHPLC-Q Exactive HF orbitrap MS)系统对该植物的代谢产物进行鉴定和评价。基于所有峰面积进行主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)、层次聚类分析(HCA)和正交偏最小二乘判别分析(OPLS-DA)。

结果

贵州和江苏的多糖含量高于其他产地,不同产地差异显著。安徽和江苏的异叶败酱素B含量较高。28批次样品的HPLC指纹图谱相关系数在0.877至0.990之间,该特征图谱可用于鉴别和评价其质量。通过PCA、PLS-DA、HCA、OPLS-DA等多元统计分析,福建、贵州、江苏的样品能够相对分离,表明它们的代谢成分存在显著差异。最终,共鉴定出15种代谢产物,其变量重要性投影(VIP)值>1且P值<0.05,与不同产地的分离相关。

结论

建立了HPLC指纹图谱以评价该植物的质量和真伪。目前的研究表明地理分布差异对其内部化学成分有影响。首次利用UHPLC-Q Exactive HF orbitrap MS的灵敏快速非靶向代谢组学方法对中国不同产地的该植物进行评价。总体而言,本研究为该植物的代谢组学提供了见解,并为功能性食品的开发提供了重要参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/b57d1e44f199/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/43f60709134c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/ab4eba8867d3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/2b5d594cc6de/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/b57d1e44f199/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/43f60709134c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/ab4eba8867d3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/2b5d594cc6de/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db9b/10394325/b57d1e44f199/gr4.jpg

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