A conversation between hyphenated spectroscopic techniques and phytometabolites from medicinal plants

IF 3 Q2 CHEMISTRY, ANALYTICAL Analytical science advances Pub Date : 2021-09-30 DOI:10.1002/ansa.202100021
Shivani Puri, Dinkar Sahal, Upendra Sharma
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引用次数: 5

Abstract

Medicinal plant metabolomics has emerged as a goldmine for the natural product chemists. It provides a pool of bioactive phytoconstituents leading to accelerated novel discoveries and the elucidation of a variety of biosynthetic pathways. Further, it also acts as an innovative tool for herbal medicine's scientific validation and quality assurance. This review highlights different strategies and analytical techniques employed in the practice of metabolomics. Further, it also discusses several other applications and advantages of metabolomics in the area of natural product chemistry. Additional examples of integrating metabolomics with multivariate data analysis techniques for some Indian medicinal plants are also reviewed. Recent technical advances in mass spectrometry-based hyphenated techniques, nuclear magnetic resonance-based techniques, and comprehensive hyphenated technologies for phytometabolite profiling studies have also been reviewed. Mass Spectral Imaging (MSI) has been presented as a highly promising method for high precision in situ spatiotemporal monitoring of phytometabolites. We conclude by introducing GNPS (Global Natural Products Social Molecular Networking) as an emerging platform to make social networks of related molecules, to explore data and to annotate more metabolites, and expand the networks to novel “predictive” metabolites that can be validated.

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连字符光谱技术与药用植物植物代谢物的对话
药用植物代谢组学已成为天然产物化学家的一座金矿。它提供了一个生物活性植物成分池,导致加速新发现和各种生物合成途径的阐明。此外,它还作为草药科学验证和质量保证的创新工具。这篇综述强调了在代谢组学实践中采用的不同策略和分析技术。此外,还讨论了代谢组学在天然产物化学领域的其他几个应用和优势。本文还回顾了将代谢组学与一些印度药用植物的多变量数据分析技术相结合的其他例子。本文还综述了基于质谱的联线技术、基于核磁共振的联线技术以及用于植物代谢物谱分析研究的综合联线技术的最新技术进展。质谱成像(MSI)是一种非常有前途的高精度植物代谢物原位时空监测方法。最后,我们介绍了GNPS (Global Natural Products Social Molecular Networking,全球天然产物社会分子网络)作为一个新兴的平台,可以建立相关分子的社会网络,探索数据并注释更多的代谢物,并将网络扩展到新的“预测性”代谢物,这些代谢物可以被验证。
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