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Pitfalls and promises of raw drug identification techniques in the ayurvedic industry: an overview

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Abstract

India, with a rich heritage of floral diversity, is well-known for its medicinal plant wealth and is the largest producer of medicinal herbs in the world. Ethnobiological Survey of Ministry of Environment and Forests (MOEF) could identify 8000 plant species utilized in various systems of medicine with approximately 25,000 effective herbal formulations. The extensive consumption to meet demand–supply ratio exerts a heavy strain on the existing resources. This subsequently led to the adulteration and substitution of medicinal plants with look-alike species. The consumer’s faith on herbal medicine is in the phase of decline due to the extremities in adulteration/substitution and ensuing consequences. It is imperative to bring forth universally acceptable standard tools to authenticate raw drugs before being processed further into formulations. A vast array of techniques such as physical, chemical (analytical), biochemical, anatomical, organoleptic, and recently emerged DNA based molecular methods are widely used for plant species authentication. In recent years, DNA barcoding has made remarkable progress in the field of medicinal plants research. DNA metabarcoding is the latest development for qualitative evaluation of the herbal formulations, whereas for quantitative analysis, combination of pharmacognostic, pharmacovigilance and analytical methods are inevitable for authentication. This review addresses the overall strengths and shortcomings of the existing as well as recently emerged techniques in authenticating ayurvedic raw drugs.

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Abbreviations

MOEF:

Ministry of environment and forests

WHO:

World health organization

CITES:

Convention on international trade in endangered spices of wild fauna and flora

AHP:

American herbal pharmacopoeia

FDA:

Food and drug administration

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Acknowledgements

The authors acknowledge the financial support provided By National Medicinal Plant Board (NMPB), Ministry of AYUSH, Government of India (F.No. Z.18017/187/CSS/R&D/KE-01/2016-17-NMPB-IV A).

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SAD: Writing of Review article. RJ: Writing of Review Article. RU: Writing of Review Article.

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Correspondence to Suma Arun Dev.

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The authors declare no conflict of interests.

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Unnikrishnan, R., Dev, S.A. & Jayaraj, R. Pitfalls and promises of raw drug identification techniques in the ayurvedic industry: an overview. 3 Biotech 10, 497 (2020). https://doi.org/10.1007/s13205-020-02482-0

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  • DOI: https://doi.org/10.1007/s13205-020-02482-0

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