The efficacy of machine learning algorithm for raw drug authentication in

Artificial intelligence DNA barcoding Machine learning algorithm Medicinal plants Threatened species

Journal

Physiology and molecular biology of plants : an international journal of functional plant biology
ISSN: 0971-5894
Titre abrégé: Physiol Mol Biol Plants
Pays: India
ID NLM: 101304333

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 03 01 2021
revised: 19 02 2021
accepted: 02 03 2021
entrez: 15 4 2021
pubmed: 16 4 2021
medline: 16 4 2021
Statut: ppublish

Résumé

Medicinal plants are a valuable resource for traditional as well as modern medicine. Consequently huge demand has exerted a heavy strain on the existing natural resources. Due to over exploitation and unscientific collection most of the commercially traded ayurvedic plants are in the phase of depletion. Adulteration of expensive raw drugs with inferior taxa has become a common practice to meet the annual demand of the ayurvedic industry. Although there are several recommended methods for proper identification varying from the traditional taxonomic to organoleptic and physiochemical, it is difficult to authenticate ayurvedic raw drugs available in extremely dried, powdered or shredded forms. In this regard, the study addresses proper authentication and illicit trade in

Identifiants

pubmed: 33854287
doi: 10.1007/s12298-021-00965-9
pii: 965
pmc: PMC7981360
doi:

Types de publication

Journal Article

Langues

eng

Pagination

605-617

Informations de copyright

© Prof. H.S. Srivastava Foundation for Science and Society 2021.

Déclaration de conflit d'intérêts

Conflict of interestsThe authors declare that they have no conflict of interests.

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Auteurs

Remya Unnikrishnan (R)

Forest Genetics and Biotechnology Division, Kerala Forest Research Institute, Peechi, Thrissur, Kerala 680653 India.
Cochin University of Science and Technology, Kochi, Kerala India.

M Sumod (M)

Sustainable Forest Management Division, Kerala Forest Research Institute, Peechi, Thrissur, Kerala 680653 India.

R Jayaraj (R)

Forest Ecology and Biodiversity Division, Kerala Forest Research Institute, Peechi, Thrissur, Kerala 680653 India.

P Sujanapal (P)

Sustainable Forest Management Division, Kerala Forest Research Institute, Peechi, Thrissur, Kerala 680653 India.

Suma Arun Dev (SA)

Forest Genetics and Biotechnology Division, Kerala Forest Research Institute, Peechi, Thrissur, Kerala 680653 India.

Classifications MeSH