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阿育吠陀产业中天然药物鉴定技术的陷阱与前景:综述

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

作者信息

Unnikrishnan Remya, Dev Suma Arun, Jayaraj R

机构信息

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

Cochin University of Science & Technology, Kochi, Kerala India.

出版信息

3 Biotech. 2020 Nov;10(11):497. doi: 10.1007/s13205-020-02482-0. Epub 2020 Oct 30.

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.

摘要

印度拥有丰富多样的花卉遗产,以其药用植物资源而闻名,是世界上最大的药草生产国。环境与森林部(MOEF)的民族生物学调查能够识别出8000种在各种医学体系中使用的植物物种,大约有25000种有效的草药配方。为满足供需比例的大量消费给现有资源带来了沉重压力。这随后导致了药用植物被相似物种掺假和替代。由于掺假/替代的极端情况及其后果,消费者对草药的信心正处于下降阶段。在将原料药进一步加工成配方之前,必须提出普遍可接受的标准工具来鉴定原料药。大量技术,如物理、化学(分析)、生化、解剖、感官以及最近出现的基于DNA的分子方法,被广泛用于植物物种鉴定。近年来,DNA条形码技术在药用植物研究领域取得了显著进展。DNA宏条形码技术是草药配方定性评估的最新发展,而对于定量分析,生药学、药物警戒和分析方法的结合对于鉴定是必不可少的。本综述阐述了现有以及最近出现的鉴定阿育吠陀原料药技术的总体优势和不足。

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本文引用的文献

2
Authentication of medicinal plants by DNA markers.
Plant Gene. 2015 Dec;4:83-99. doi: 10.1016/j.plgene.2015.10.002. Epub 2015 Oct 22.
6
Employing barcoding markers to authenticate selected endangered medicinal plants traded in Indian markets.
Physiol Mol Biol Plants. 2019 Mar;25(2):327-337. doi: 10.1007/s12298-018-0610-8. Epub 2018 Sep 29.
8
Analysis of Terpenes in Cannabis sativa L. Using GC/MS: Method Development, Validation, and Application.
Planta Med. 2019 Mar;85(5):431-438. doi: 10.1055/a-0828-8387. Epub 2019 Jan 15.
9
Sequence-Specific Detection of DNA - A Simple Test for Contamination of Herbal Products.
Front Plant Sci. 2018 Dec 11;9:1828. doi: 10.3389/fpls.2018.01828. eCollection 2018.
10
A Two-Year Bio-Agronomic and Chemotaxonomic Evaluation of Wild Sicilian Myrtle (Myrtus communis L.) Berries and Leaves.
Chem Biodivers. 2019 Mar;16(3):e1800575. doi: 10.1002/cbdv.201800575. Epub 2019 Feb 22.

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