Literature DB >> 34314279

Trends and Application of Chemometric Pattern Recognition Techniques in Medicinal Plants Analysis.

Mariana Gaião Calixto1, Hilthon Alves Ramos1, Lucas Silva Veríssimo1, Vitor Dantas Alves1, Ana Cláudia D Medeiros2, Felipe Hugo Alencar Fernandes2,3, Germano Veras1.   

Abstract

Medicinal plants have been used and studied for ages, from very old registers to modern ethnopharmacology, which encompasses analytical chemistry, foods, and pharmacy. Based on international norms and governmental organizations of health, phytomedicine-for example, herbal drugs-needs to guarantee the quality control of products and identify contaminants, biomarkers, and chemical profiles, among other issues. In this sense, is necessary to develop advanced analytical methods that show interesting possibilities and obtain a great amount of data. In order to treat the data, a set of mathematical and statistical procedures named chemometrics is necessary. In terms of herbal drugs, chemometric tools may be used to identify the following in plants: parts, development stages, processing, geographic origin, authentication, and chemical markers. This review describes applications of chemometric pattern recognition tools to analyze herbal drugs in different conditions associated with analytical methods in the last six years (2015-2020).

Entities:  

Keywords:  Exploratory techniques; herbal medicine; multivariate classification; quality control

Year:  2021        PMID: 34314279

Source DB:  PubMed          Journal:  Crit Rev Anal Chem        ISSN: 1040-8347            Impact factor:   6.535


  1 in total

1.  Application of HPTLC Multiwavelength Imaging and Color Scale Fingerprinting Approach Combined with Multivariate Chemometric Methods for Medicinal Plant Clustering According to Their Species.

Authors:  Simona Codruța Aurora Cobzac; Neli Kinga Olah; Dorina Casoni
Journal:  Molecules       Date:  2021-11-29       Impact factor: 4.411

  1 in total

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