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植物代谢组学:以白芦笋为例评估非靶向 UPLC-ESI-QTOF-MS 分析的不同提取参数。

Plant Metabolomics: Evaluation of Different Extraction Parameters for Nontargeted UPLC-ESI-QTOF-Mass Spectrometry at the Example of White Asparagus officinalis.

机构信息

Hamburg School of Food Science, Institute of Food Chemistry , University of Hamburg , Grindelallee 117 , 20146 Hamburg , Germany.

出版信息

J Agric Food Chem. 2018 Dec 5;66(48):12876-12887. doi: 10.1021/acs.jafc.8b06037. Epub 2018 Nov 26.

Abstract

The extraction of metabolites turns out to be one of the most important key factors for nontargeted metabolomics approaches as this step can significantly affects the informative value of the successive measurements. Compared to metabolomics experiments of various matrices of bacterial or mammalian origins, there are only few studies, which focus on different extraction methods for plant metabolomics analyses. In this study, various solvent extraction compositions were compared and assessed using an UPLC-ESI-QTOF-MS strategy. Exemplary, white asparagus ( Asparagus officinalis) were employed as a low-fat-, low-protein-, high-water-content model commodity with the objective of designing an optimal nontargeted extraction protocol for polar and nonpolar metabolites. Furthermore, the influence of acid addition, mechanical cell disruption methods (ball mill, ultrasonic bath, vortex mixer), and extract stability have been systematically scrutinized too. The different extraction protocols were compared based on sum of features, sum of peak intensities, sum of peak areas, as well as by analyzing individual signals of as many different substance groups as possible to obtain a maximum overview.

摘要

代谢物的提取是无靶向代谢组学方法中最重要的关键因素之一,因为这一步骤会显著影响后续测量的信息价值。与各种细菌或哺乳动物来源的代谢组学实验相比,只有少数研究关注不同的植物代谢组学分析提取方法。在这项研究中,使用 UPLC-ESI-QTOF-MS 策略比较和评估了各种溶剂提取成分。例如,以低脂肪、低蛋白、高水分含量的白芦笋(Asparagus officinalis)为模型商品,旨在设计针对极性和非极性代谢物的最佳无靶向提取方案。此外,还系统地研究了酸的添加、机械细胞破碎方法(球磨机、超声浴、涡旋混合器)以及提取物稳定性的影响。不同的提取方案基于特征总和、峰强度总和、峰面积总和以及尽可能分析尽可能多不同物质组的单个信号进行比较,以获得最大的概述。

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