Literature DB >> 21435470

Chromatographic separation techniques and data handling methods for herbal fingerprints: a review.

Christophe Tistaert1, Bieke Dejaegher, Yvan Vander Heyden.   

Abstract

As herbal medicines have an important position in health care systems worldwide, their current assessment and quality control are a major bottleneck. Over the past decade, major steps were taken not only to improve the quality of the herbal products but also to develop analytical methods ensuring their quality. Nowadays, chromatographic fingerprinting is the generally accepted technique for the assessment and quality control of herbal products. This paper briefly considers the evolution of the regulations and guidelines on the quality control of herbal medicines, and reviews the established analytical techniques for herbal fingerprinting with an emphasis on the most recent developments, such as miniaturized techniques, new stationary phases, analysis at high temperatures and multi-dimensional chromatography. Accessory to the new analytical techniques, the chemometric data handling techniques applied are discussed. Chemometrics provide scientists with useful tools in understanding the huge amounts of data generated by the analytical advances and prove to be valuable for quality control, classification and modelling of, and discrimination between herbal fingerprints.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Substances:

Year:  2011        PMID: 21435470     DOI: 10.1016/j.aca.2011.02.023

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  25 in total

1.  An approach to optimize the batch mixing process for improving the quality consistency of the products made from traditional Chinese medicines.

Authors:  Bin-jun Yan; Hai-bin Qu
Journal:  J Zhejiang Univ Sci B       Date:  2013-11       Impact factor: 3.066

2.  Batch-to-batch quality consistency evaluation of botanical drug products using multivariate statistical analysis of the chromatographic fingerprint.

Authors:  Haoshu Xiong; Lawrence X Yu; Haibin Qu
Journal:  AAPS PharmSciTech       Date:  2013-05-02       Impact factor: 3.246

3.  Spectroscopic fingerprint of tea varieties by surface enhanced Raman spectroscopy.

Authors:  Guluzar Gorkem Buyukgoz; Mehmet Soforoglu; Nese Basaran Akgul; Ismail Hakki Boyaci
Journal:  J Food Sci Technol       Date:  2015-11-18       Impact factor: 2.701

4.  The Potential Use of Herbal Fingerprints by Means of HPLC and TLC for Characterization and Identification of Herbal Extracts and the Distinction of Latvian Native Medicinal Plants.

Authors:  Ance Bārzdiņa; Artūrs Paulausks; Dace Bandere; Agnese Brangule
Journal:  Molecules       Date:  2022-04-15       Impact factor: 4.927

5.  An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.

Authors:  Lizhi Cui; Josiah Poon; Simon K Poon; Hao Chen; Junbin Gao; Paul Kwan; Kei Fan; Zhihao Ling
Journal:  BMC Bioinformatics       Date:  2014-11-06       Impact factor: 3.169

6.  Holistic Evaluation of Quality Consistency of Ixeris sonchifolia (Bunge) Hance Injectables by Quantitative Fingerprinting in Combination with Antioxidant Activity and Chemometric Methods.

Authors:  Lanping Yang; Guoxiang Sun; Yong Guo; Zhifei Hou; Shuai Chen
Journal:  PLoS One       Date:  2016-02-12       Impact factor: 3.240

Review 7.  Chemometrics: A new scenario in herbal drug standardization.

Authors:  Ankit Bansal; Vikas Chhabra; Ravindra K Rawal; Simant Sharma
Journal:  J Pharm Anal       Date:  2014-01-01

8.  Fingerprint analysis of Resina Draconis by ultra-performance liquid chromatography.

Authors:  Yudi Xue; Lin Zhu; Tao Yi
Journal:  Chem Cent J       Date:  2017-07-24       Impact factor: 4.215

9.  Discriminatory components retracing strategy for monitoring the preparation procedure of Chinese patent medicines by fingerprint and chemometric analysis.

Authors:  Shuai Yao; Jingxian Zhang; Dandan Wang; Jinjun Hou; Wenzhi Yang; Juan Da; Luying Cai; Min Yang; Baohong Jiang; Xuan Liu; De-an Guo; Wanying Wu
Journal:  PLoS One       Date:  2015-03-13       Impact factor: 3.240

10.  Ensemble learning for prediction of the bioactivity capacity of herbal medicines from chromatographic fingerprints.

Authors:  Hao Chen; Josiah Poon; Simon K Poon; Lizhi Cui; Kei Fan; Daniel Sze
Journal:  BMC Bioinformatics       Date:  2015-08-25       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.