摘要
近年来,浆果类水果因其对人体健康的积极影响而受到人们的青睐。事实上,浆果因其促进健康的益处而广为人知,包括预防慢性病,心血管疾病和癌症。浆果是生物活性代谢物的丰富来源,如维生素,矿物质和酚类化合物,主要是花青素。许多体外和体内研究都认识到浆果的健康影响及其作为与氧化应激相关的各种细胞功能的生物活性调节剂的功能。植物具有最大的代谢组数据库之一,仅在过去十年中发表了1200多篇关于植物代谢组学的论文。质谱(MS)和NMR(核磁共振)是新兴“组学”方法所依据的最重要的分析技术。它们可以提供来自组织的数千种生物活性代谢物的检测和量化,以“全局”或“目标”方式工作,直至超痕量水平。在本综述中,我们强调了使用基于MS和核磁共振的策略和多变量数据分析来评估以其生物活性而闻名的浆果,这些浆果对于食品很重要,并且常用于制备营养保健品.
关键词: 代谢组学,浆果,多变量数据分析,桑属,草莓,桃金娘,悬钩子属,越桔。
Current Medicinal Chemistry
Title:Metabolomics of Healthy Berry Fruits
Volume: 25 Issue: 37
关键词: 代谢组学,浆果,多变量数据分析,桑属,草莓,桃金娘,悬钩子属,越桔。
摘要: The consumption of berry-type fruits has become very popular in recent years because of their positive effects on human health. Berries are in fact widely known for their health-promoting benefits, including prevention of chronic disease, cardiovascular disease and cancer.
Berries are a rich source of bioactive metabolites, such as vitamins, minerals, and phenolic compounds, mainly anthocyanins. Numerous in vitro and in vivo studies recognized the health effects of berries and their function as bioactive modulators of various cell functions associated with oxidative stress.
Plants have one of the largest metabolome databases, with over 1200 papers on plant metabolomics published only in the last decade. Mass spectrometry (MS) and NMR (Nuclear Magnetic Resonance) are the most important analytical technologies on which the emerging ''omics'' approaches are based. They may provide detection and quantization of thousands of biologically active metabolites from a tissue, working in a ''global'' or ''targeted'' manner, down to ultra-trace levels.
In the present review, we highlighted the use of MS and NMR-based strategies and Multivariate Data Analysis for the valorization of berries known for their biological activities, important as food and often used in the preparation of nutraceutical formulations.
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Cite this article as:
Metabolomics of Healthy Berry Fruits, Current Medicinal Chemistry 2018; 25 (37) . https://dx.doi.org/10.2174/0929867323666161206100006
DOI https://dx.doi.org/10.2174/0929867323666161206100006 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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