Plant based metabolomics: a future prospective and versatile tool for metabolite databases of Curcuma longa

IF 5.2 Q1 FOOD SCIENCE & TECHNOLOGY
Shuvendhu Gupta , Amrat Pal Singh , Gurpreet Singh , Xianting Ding , Alok Sharma
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引用次数: 1

Abstract

Sophisticated analytical instruments are used for quality evaluation and scientific validation to compliance the market demands. Recently, increase in demand of Curcuma longa has led to a high swing in small and medium food industry. The present review is devoted to an in-depth information on metabolite database of C. longa from different analytical techniques such as high-performance thin-layer chromatography (HPTLC), liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry and nuclear magnetic resonance. This work highlights different extraction methods, phytochemistry along with structure activity relationship, nutritional profiling, market viability and pharmacology of C. longa. The bioactives of C. longa depends on various factors such as plants growth, temperature, humidity, soil type, collection, drying and extraction process. These factors can contribute in quality evaluation of the food supplements if need to be included. The introduction of omics approaches can helpful to explore the quality and identification of potential lead of C. longa. The results could play an essential role in the area of food-phyto based profiling. Further, metabolomics techniques may provide an analytical platform by combination of different “omics” data sources for future research to food and herbal based products.

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植物代谢组学:姜黄代谢产物数据库的一种未来前景和多功能工具
先进的分析仪器用于质量评估和科学验证,以满足市场需求。近年来,姜黄需求的增加导致中小型食品行业出现了高波动。本文从高效薄层色谱(HPTLC)、液相色谱-质谱、气相色谱-色谱和核磁共振等不同分析技术对龙舌兰的代谢产物数据库进行了深入的研究。这项工作重点介绍了龙舌兰的不同提取方法、植物化学以及结构-活性关系、营养概况、市场可行性和药理学。龙舌兰的生物活性取决于植物生长、温度、湿度、土壤类型、采集、干燥和提取过程等因素。若需要将这些因素包括在内,这些因素有助于食品补充剂的质量评估。组学方法的引入有助于探索龙舌兰潜在铅的质量和鉴定。该结果可能在基于食物植物的分析领域发挥重要作用。此外,代谢组学技术可以通过组合不同的“组学”数据源,为未来对食品和草药产品的研究提供一个分析平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.80
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