A Review on Quality Control Aspects of Indian Medicinal Plants

Santosh Kumar, Aakash Kumar Jaiswal, Mansi Aggarwal, Rustam Ekbbal, Gaurav Gaurav G
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Abstract

Quality control analysis of medicinal plants even their derived formulations are contributed to the quality, safety, and efficacy as well as to their regulatory purpose. Chromatography and their hyphenation with spectroscopic techniques are the most used analytical methods for quality assessment and authentication of medicinal plants and their derived products, also. With a thorough explanation of the analytical techniques used in authentication, the existing situation, and future projections, the present study aims to analyze the quality elements of the authentication of medicinal plants and the formulations developed from them. The results of the review suggested that determining the quality of medicinal plants based on targeted and non-targeted metabolites depends on the verification that the plants are from the same species, the gathering of high-quality raw materials, the extraction process, and the solvents that are acting to make the process more suitable. For thorough metabolomic profiling, a variety of cutting-edge chromatographic and analytical techniques, including HPTLC-MS, HPLC-MS, LC-MS, GC-MS, etc., are utilized. Moreover, chemometric approaches improved the ability to extract crucial chemical information from a wide range of original data. Principal Component Analysis (PCA) is the most widely used technique in chemometrics analysis to represent the high dimensionality of metabolite-based data sets for validity, efficacy, and consistency. In order to confirm the scientific evidence for their regulatory purpose and get insights into the current situation and the future horizons for their quality-based standardization of medicinal plants and their derived formulations.
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印度药用植物质量控制综述
对药用植物及其衍生制剂进行质量控制分析,有助于确保其质量、安全性和有效性,并达到监管目的。色谱法及其与光谱技术的结合也是药用植物及其衍生产品的质量评估和鉴定中最常用的分析方法。本研究对鉴定中使用的分析技术、现有情况和未来预测进行了详尽的解释,旨在分析药用植物及其衍生配方鉴定的质量要素。综述结果表明,根据靶向和非靶向代谢物来确定药用植物的质量取决于植物是否来自同一物种、高质量原材料的采集、提取过程以及使提取过程更加合适的溶剂。为了进行全面的代谢组学分析,我们采用了多种先进的色谱和分析技术,包括 HPTLC-MS、HPLC-MS、LC-MS、GC-MS 等。此外,化学计量学方法提高了从大量原始数据中提取关键化学信息的能力。主成分分析(PCA)是化学计量学分析中使用最广泛的技术,用于表示基于代谢物的高维数据集的有效性、有效性和一致性。为了确认用于监管目的的科学证据,并深入了解药用植物及其衍生制剂基于质量的标准化的现状和未来前景。
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