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

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 th...

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Bibliographic Details
Published in:Critical reviews in analytical chemistry 2023, Vol.53 (2), p.326-338
Main Authors: Gaião Calixto, Mariana, Alves Ramos, Hilthon, Veríssimo, Lucas Silva, Dantas Alves, Vitor, D. Medeiros, Ana Cláudia, Alencar Fernandes, Felipe Hugo, Veras, Germano
Format: Article
Language:English
Subjects:
Analytical chemistry
Analytical methods
Biomarkers
Chemometrics
Contaminants
Drugs
Ethnopharmacology
Exploratory techniques
Herbal medicine
Mathematical analysis
Medicinal plants
multivariate classification
Norms
Pattern analysis
Pattern recognition
Plants, Medicinal
Quality control
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Summary: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).
ISSN:1040-8347
1547-6510
DOI:10.1080/10408347.2021.1953370