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应用靶向代谢组学研究优化生长条件以提高草莓生物活性成分含量

Application of Targeted Metabolomics to Investigate Optimum Growing Conditions to Enhance Bioactive Content of Strawberry.

作者信息

Akhatou Ikram, Sayago Ana, González-Domínguez Raúl, Fernández-Recamales Ángeles

机构信息

Department of Chemistry, Faculty of Experimental Sciences, University of Huelva , 21007 Huelva, Spain.

International Campus of Excellence CeiA3, University of Huelva , 21007 Huelva, Spain.

出版信息

J Agric Food Chem. 2017 Nov 1;65(43):9559-9567. doi: 10.1021/acs.jafc.7b03701. Epub 2017 Oct 20.

Abstract

A simple, sensitive, and rapid assay based on liquid chromatography coupled to tandem mass spectrometry was designed for simultaneous quantitation of secondary metabolites in order to investigate the influence of variety and agronomic conditions on the biosynthesis of bioactive compounds in strawberry. For this purpose, strawberries belonging to three varieties with different sensitivity to environmental conditions ('Camarosa', 'Festival', 'Palomar') were grown in a soilless system under multiple agronomic conditions (electrical conductivity, substrate type, and coverage). Targeted metabolomic analysis of polyphenolic compounds, combined with advanced chemometric methods based on learning machines, revealed significant differences in multiple bioactives, such as chlorogenic acid, ellagic acid rhamnoside, sanguiin H10, quercetin 3-O-glucuronide, catechin, procyanidin B2, pelargonidin 3-O-glucoside, cyanidin 3-O-glucoside, and pelargonidin 3-O-rutinoside, which play a pivotal role in organoleptic properties and beneficial healthy effects of these polyphenol-rich foods.

摘要

设计了一种基于液相色谱-串联质谱的简单、灵敏且快速的分析方法,用于同时定量次生代谢物,以研究品种和农艺条件对草莓中生物活性化合物生物合成的影响。为此,将属于对环境条件敏感度不同的三个品种(“卡玛罗莎”、“节日”、“帕洛玛”)的草莓种植在无土系统中,设置多种农艺条件(电导率、基质类型和覆盖度)。对多酚类化合物进行靶向代谢组学分析,并结合基于学习机器的先进化学计量方法,结果显示多种生物活性成分存在显著差异,如绿原酸、鞣花酸鼠李糖苷、山奈酚H10、槲皮素3-O-葡萄糖醛酸苷、儿茶素、原花青素B2、天竺葵素3-O-葡萄糖苷、矢车菊素3-O-葡萄糖苷和天竺葵素3-O-芸香糖苷,这些成分在这些富含多酚食物的感官特性和有益健康作用中起着关键作用。

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