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利用ChemPattern软件开发用于物种质量评估的全球化学图谱分析方法

Development of Global Chemical Profiling for Quality Assessment of Species by ChemPattern Software.

作者信息

Zhang Hui, Jiang Huijie, Zhang Xiaojing, Tong Shengqiang, Yan Jizhong

机构信息

College of Pharmaceutical Science, Zhejiang University of Technology, No. 18 Chaowang Road, Hangzhou 310014, China.

出版信息

J Anal Methods Chem. 2018 Mar 4;2018:1675721. doi: 10.1155/2018/1675721. eCollection 2018.

DOI:10.1155/2018/1675721
PMID:29992079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5857333/
Abstract

Triterpenoids are the major secondary metabolites and active substances in , considered as the "marker compounds" for the chemical evaluation or standardization of . A response surface methodology was used to optimize the ultrasonic-assisted extraction of triterpenoids. The extraction rate was 7.338 ± 0.150 mg/g under the optimum conditions: 87% ethanol, ratio of solid to liquid (w : v) 1 : 28, and ultrasound extraction time 36 min. Based on the high sensitivity and selectivity of HPLC-LTQ-Orbitrap-MS , 24 components of triterpenoids were tentatively identified in the negative mode. Then, the global chemical profiling consisting of HPLC and TLC fingerprints generated by ChemPattern™ software was developed for evaluation of species. For fingerprint analysis, 11 peaks of triterpenoids were selected as the characteristic peaks to evaluate the similarities of different samples. The correlation coefficients of similarity were greater than 0.830. The cluster analysis showed a clear separation of three groups, and 11 peaks played key roles in differentiating these samples. The developed global chemical profiling method could be applied for rapid evaluation, quality control, and authenticity identification of and other herbal medicines.

摘要

三萜类化合物是[植物名称]中的主要次生代谢产物和活性物质,被视为[植物名称]化学评价或标准化的“标志性化合物”。采用响应面法优化三萜类化合物的超声辅助提取工艺。在最佳条件下:87%乙醇、固液比(w : v)1 : 28、超声提取时间36 min,提取率为7.338 ± 0.150 mg/g。基于HPLC-LTQ-Orbitrap-MS的高灵敏度和选择性,在负离子模式下初步鉴定出24种三萜类化合物成分。然后,开发了由ChemPattern™软件生成的包含HPLC和TLC指纹图谱的整体化学图谱,用于评价[植物名称]的品种。对于指纹图谱分析,选择11个三萜类化合物峰作为特征峰来评价不同样品的相似度。相似度的相关系数大于0.830。聚类分析显示三组明显分离,11个峰在区分这些样品中起关键作用。所开发的整体化学图谱方法可用于[植物名称]及其他草药的快速评价、质量控制和真伪鉴定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/c5e86584d944/JAMC2018-1675721.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/9a95e817a2f5/JAMC2018-1675721.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/cbc3b8733cdb/JAMC2018-1675721.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/3a881a261480/JAMC2018-1675721.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/18793e7ef972/JAMC2018-1675721.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/714a489dba9b/JAMC2018-1675721.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/c5e86584d944/JAMC2018-1675721.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/9a95e817a2f5/JAMC2018-1675721.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/cbc3b8733cdb/JAMC2018-1675721.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/3a881a261480/JAMC2018-1675721.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/18793e7ef972/JAMC2018-1675721.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/714a489dba9b/JAMC2018-1675721.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88eb/5857333/c5e86584d944/JAMC2018-1675721.006.jpg

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本文引用的文献

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