Article3 Biotech2021
Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database.
Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Review
- Comparative plastome evaluation, phylogenomic analysis, and DNA signatures of medicinally important malvaceous genera and their adulterants.Scientific reports · 2025Article
- Evidence-based production framework for herbal medicine regulation in Indonesia.Frontiers in pharmacology · 2025Review
- Article
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Authors and funding
5 authors.
Funding
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Abstract
Adulteration of expensive raw drugs with inferior taxa has become a routine practice, conceding the quality and safety of derived herbal products. In this regard, the study addresses the development of an integrated approach encompassing DNA barcode and HPTLC fingerprinting to authenticate chiefly traded ayurvedic raw drugs in south India [viz. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03001-5.
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Registered trials
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