Development of a Specific Mini-Barcode From Plastome and its Application for Qualitative and Quantitative Identification of Processed Herbal Products Using DNA Metabarcoding Technique: A Case Study on

Herbal products Senna metabarcoding mini-barcode plastome species identification

Journal

Frontiers in pharmacology
ISSN: 1663-9812
Titre abrégé: Front Pharmacol
Pays: Switzerland
ID NLM: 101548923

Informations de publication

Date de publication:
2020
Historique:
received: 21 07 2020
accepted: 26 11 2020
entrez: 4 1 2021
pubmed: 5 1 2021
medline: 5 1 2021
Statut: epublish

Résumé

Herbal products play an important role globally in the pharmaceutical and healthcare industries. However, some specific groups of herbal products are easily adulterated by confused materials on the market, which seriously reduces the products' quality. Universal conventional DNA barcodes would function poorly since the processed herbal products generally suffer from varying degrees of DNA degradation and DNA mixing during processing or manufacturing. For quality control purposes, an accurate and effective method should be provided for species identification of these herbal products. Here, we provided a strategy of developing the specific mini-barcode using

Identifiants

pubmed: 33390955
doi: 10.3389/fphar.2020.585687
pii: 585687
pmc: PMC7773718
doi:

Types de publication

Journal Article

Langues

eng

Pagination

585687

Informations de copyright

Copyright © 2020 Yu, Tan, Gao, Miao and Tian.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Xiaolei Yu (X)

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Wei Tan (W)

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Han Gao (H)

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Lin Miao (L)

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Xiaoxuan Tian (X)

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Classifications MeSH