Literature DB >> 34745814

Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database.

Suma Arun Dev1, Remya Unnikrishnan1,2, R Jayaraj3, P Sujanapal4, V Anitha5.   

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. Saraca asoca (Roxb.) Willd., Terminalia arjuna (Roxb. ex DC.) Wight and Arn., Sida alnifolia L. and Desmodium gangeticum (L.) DC.] from its adulterants. Consortium of Barcode of Life (CBOL) recommended DNA barcode gene regions viz. nuclear ribosomal-Internal Transcribed Spacer (nrDNA-ITS), maturase K (matK), ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit (rbcL) and psbA-trnH spacer regions along with HPTLC profiling were experimented and a reference database was created. Further, an integrated analytical approach employing genetic distance-based Maximum Likelihood phylogenetic tree and Artificial Intelligence (AI)based Machine Learning Algorithms (MLA)-Waikato Environment for Knowledge Analysis (WEKA) and Barcoding with Logic (BLOG) were employed to prove efficacy of DNA barcode tool. Even though, among the four barcodes, psbA-trnH (S. alnifolia and its adulterants, T. arjuna and its adulterants) or ITS region (S. asoca and its adulterants, D. gangeticum and its adulterants) showed highest inter specific divergences in the selected Biological Reference Materials (BRMs), rbcL or matK barcode regions alone were successful for authentication of traded samples. The automated species identification techniques, WEKA and BLOG, experimented for the first time in India for raw drug validation, could achieve rapid and precise identification. A national certification agency for raw drug authentication employing an integrated approach involving a DNA barcoding tool along with standard organoleptic and analytical methods can strengthen and ensure safety and quality of herbal medicines in India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03001-5. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  Artificial Intelligence; Ayurvedic raw drug; DNA barcoding; Machine Learning Algorithm

Year:  2021        PMID: 34745814      PMCID: PMC8523608          DOI: 10.1007/s13205-021-03001-5

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  49 in total

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4.  Molecular identification of commercialized medicinal plants in southern Morocco.

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5.  Medicinal plants recommended by the world health organization: DNA barcode identification associated with chemical analyses guarantees their quality.

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Authors:  Steven G Newmaster; Meghan Grguric; Dhivya Shanmughanandhan; Sathishkumar Ramalingam; Subramanyam Ragupathy
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Review 8.  Himalayan Aromatic Medicinal Plants: A Review of their Ethnopharmacology, Volatile Phytochemistry, and Biological Activities.

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Review 9.  An Integrated View of Aristolochic Acid Nephropathy: Update of the Literature.

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Review 10.  The DNA-Based Authentication of Commercial Herbal Products Reveals Their Globally Widespread Adulteration.

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Journal:  Front Pharmacol       Date:  2019-10-24       Impact factor: 5.810

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