Literature DB >> 21064007

Perspective of chemical fingerprinting of Chinese herbs.

Yi-zeng Liang1, Pei-shan Xie, Kelvin Chan.   

Abstract

The holistic system of traditional Chinese medicine (TCM) is an integrity of the ingredients contained in the Chinese herbal medicines, which creates a challenge in establishing quality control standards for raw materials and the standardization of finished herbal drugs because no single component is contributing to the total efficacy. Chromatographic fingerprinting analysis represents a rational approach for the quality assessment of TCM. It utilizes chromatographic techniques, which include CE, GC, HPLC, HPTLC, etc., to construct specific patterns for recognition of multiple compounds in TCMs. Thus, chromatographic fingerprinting analysis of herbal medicines represents a comprehensive qualitative approach for the purpose of species authentication, evaluation of quality, and ensuring the consistency and stability of herbal drugs and their related products. The pragmatic comprehensive chromatographic fingerprinting analysis can disclose the detectable ingredients composition and concentration distribution under quantifiable operational conditions and therefore provide real-time quality information. It may leave a "gray" entity at the primary stage. However, consecutive study will deepen the knowledge and reduce its "gray scale", increase the transparency gradually, thereby strengthening its quality assessment potency. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2010        PMID: 21064007     DOI: 10.1055/s-0030-1250541

Source DB:  PubMed          Journal:  Planta Med        ISSN: 0032-0943            Impact factor:   3.352


  9 in total

Review 1.  An overview on adverse drug reactions to traditional Chinese medicines.

Authors:  Kelvin Chan; Hongwei Zhang; Zhi-Xiu Lin
Journal:  Br J Clin Pharmacol       Date:  2015-05-19       Impact factor: 4.335

2.  Bridging the traditional Chinese medicine pattern classification and biomedical disease diagnosis with systems biology.

Authors:  Ai-ping Lu; Zhao-xiang Bian; Ke-ji Chen
Journal:  Chin J Integr Med       Date:  2012-12-13       Impact factor: 1.978

3.  The tandem of full spin analysis and qHNMR for the quality control of botanicals exemplified with Ginkgo biloba.

Authors:  José G Napolitano; Tanja Gödecke; María F Rodríguez-Brasco; Birgit U Jaki; Shao-Nong Chen; David C Lankin; Guido F Pauli
Journal:  J Nat Prod       Date:  2012-02-14       Impact factor: 4.050

4.  Converting Panax ginseng DNA and chemical fingerprints into two-dimensional barcode.

Authors:  Yong Cai; Peng Li; Xi-Wen Li; Jing Zhao; Hai Chen; Qing Yang; Hao Hu
Journal:  J Ginseng Res       Date:  2016-07-21       Impact factor: 6.060

5.  A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling.

Authors:  Yujing Zhang; Chao Wang; Fangliang Yang; Guoxiang Sun
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

6.  Chemical Profile and Multicomponent Quantitative Analysis for the Quality Evaluation of Toad Venom from Different Origins.

Authors:  Yueting Cao; Jiheng Wu; Hongye Pan; Longhu Wang
Journal:  Molecules       Date:  2019-10-06       Impact factor: 4.411

Review 7.  How to identify "Material basis-Quality markers" more accurately in Chinese herbal medicines from modern chromatography-mass spectrometry data-sets: Opportunities and challenges of chemometric tools.

Authors:  Min He; Yu Zhou
Journal:  Chin Herb Med       Date:  2020-08-06

Review 8.  The quest for modernisation of traditional Chinese medicine.

Authors:  Qihe Xu; Rudolf Bauer; Bruce M Hendry; Tai-Ping Fan; Zhongzhen Zhao; Pierre Duez; Monique S J Simmonds; Claudia M Witt; Aiping Lu; Nicola Robinson; De-an Guo; Peter J Hylands
Journal:  BMC Complement Altern Med       Date:  2013-06-13       Impact factor: 3.659

9.  Linear Quantitative Profiling Method Fast Monitors Alkaloids of Sophora Flavescens That Was Verified by Tri-Marker Analyses.

Authors:  Zhifei Hou; Guoxiang Sun; Yong Guo
Journal:  PLoS One       Date:  2016-08-16       Impact factor: 3.240

  9 in total

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