Literature DB >> 27025364

The spectrum-effect relationship-a rational approach to screening effective compounds, reflecting the internal quality of Chinese herbal medicine.

Chun-Sheng Zhu1, Zhi-Jian Lin1, Ming-Liang Xiao1, Hong-Juan Niu1, Bing Zhang2.   

Abstract

Since the chromatographic fingerprint was introduced, it has been accepted by many countries to assess the quality and authenticity of Chinese herbal medicine (CHM). However, solely using the chromatographic fingerprint to assay numerous chemicals is not suitable for the assessment of the whole internal quality and pharmacodynamics of CHM. Consequently, it is necessary to develop a rational approach to connecting the chromatographic fingerprint with effective components to assess the internal quality of CHM. For this purpose, a spectrum-effect relationship theory was proposed and accepted as a new method for the assessment of CHM because of its potential use to screen effective components from CHM. In this paper, we systematically reviewed the application of the spectrum-effect relationship theory in the research of CHM, including research mentality, different chromatographic analysis techniques, data processing technologies, and structure determination.
Copyright © 2016 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chinese herbal medicine; Chromatographic fingerprint; Spectrum-effect relationship

Mesh:

Substances:

Year:  2016        PMID: 27025364     DOI: 10.1016/S1875-5364(16)30014-0

Source DB:  PubMed          Journal:  Chin J Nat Med        ISSN: 1875-5364


  12 in total

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2.  Grouping, Spectrum-Effect Relationship and Antioxidant Compounds of Chinese Propolis from Different Regions Using Multivariate Analyses and Off-Line Anti-DPPH Assay.

Authors:  Xiasen Jiang; Linchen Tao; Chunguang Li; Mengmeng You; George Q Li; Cuiping Zhang; Fuliang Hu
Journal:  Molecules       Date:  2020-07-16       Impact factor: 4.411

3.  Multi-Dimensional Spectrum-Effect Relationship of the Impact of Chinese Herbal Formula Lichong Shengsui Yin on Ovarian Cancer.

Authors:  Yanhong Wang; Yang Li; Yan Zhang; Guan Feng; Zhixin Yang; Qingxia Guan; Rui Wang; Fengjuan Han
Journal:  Molecules       Date:  2017-06-13       Impact factor: 4.411

4.  Discovering the Major Antitussive, Expectorant, and Anti-Inflammatory Bioactive Constituents in Tussilago Farfara L. Based on the Spectrum-Effect Relationship Combined with Chemometrics.

Authors:  Liu Yang; Hai Jiang; Song Wang; Ajiao Hou; Wenjing Man; Jiaxu Zhang; Xinyue Guo; Bingyou Yang; Haixue Kuang; Qiuhong Wang
Journal:  Molecules       Date:  2020-01-31       Impact factor: 4.411

5.  Comparison of blood tonic efficacy and chemical constituents of Kadsura interior A.C. Smith and its closely related species.

Authors:  Jing Xu; Jiushi Liu; Bin Li; Xueping Wei; Yaodong Qi; Bengang Zhang; Haitao Liu; Peigen Xiao
Journal:  Chin Med       Date:  2022-01-17       Impact factor: 5.455

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Review 7.  Screening S protein - ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19.

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Journal:  Eur J Med Chem       Date:  2021-10-04       Impact factor: 6.514

8.  Study on The Anti-Inflammatory Effects of Callicarpa nudiflora Based on The Spectrum-Effect Relationship.

Authors:  Yamei Li; Yifang Yang; Xingdong Kang; Xiaofeng Li; Yongzhong Wu; Junping Xiao; Yang Ye; Jianqiong Yang; Yang Yang; Hai Liu
Journal:  Front Pharmacol       Date:  2022-01-27       Impact factor: 5.810

9.  Screening and Characterizing Tyrosinase Inhibitors from Salvia miltiorrhiza and Carthamus tinctorius by Spectrum-Effect Relationship Analysis and Molecular Docking.

Authors:  Ya-Li Wang; Guang Hu; Qian Zhang; Yu-Xiu Yang; Qiao-Qiao Li; Yuan-Jia Hu; Hua Chen; Feng-Qing Yang
Journal:  J Anal Methods Chem       Date:  2018-05-09       Impact factor: 2.193

Review 10.  Recent advance in the discovery of tyrosinase inhibitors from natural sources via separation methods.

Authors:  Xiao-Wei Zhang; Guang-Li Bian; Pei-Ying Kang; Xin-Jie Cheng; Kai Yan; Yong-Li Liu; Yan-Xia Gao; De-Qiang Li
Journal:  J Enzyme Inhib Med Chem       Date:  2021-12       Impact factor: 5.051

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