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采用选择离子流管质谱分析和化学计量学方法鉴别葡萄浆果挥发物的新方法。

A novel approach to discriminate the volatilome of Vitis vinifera berries by selected ion flow tube mass Spectrometry analysis and chemometrics.

机构信息

PPGV - Physiologie, Pathologie et Génétique Végétale, Toulouse INP-Purpan, University of Toulouse, 31076 Toulouse, France; LCA - Laboratoire de Chimie Agro-Industrielle, UMR 1010 INRAe/Toulouse INP-ENSIACET, University of Toulouse, 31030 Toulouse, France.

IFV - Institut Français de la Vigne et du Vin pôle Sud-Ouest, 81310 Peyrole, France.

出版信息

Food Res Int. 2022 Jul;157:111434. doi: 10.1016/j.foodres.2022.111434. Epub 2022 May 28.

Abstract

This study investigated a quick way to discriminate grape varieties based on their composition in volatile compounds through a SIFT-MS scan coupled with simple chemometrics approaches such as analysis of variance (ANOVA), principal component analysis (PCA) and hierarchical ascendant classification (HAC). The 23 studied grape varieties were distinguishable using O, HO and NO as reagent ions, and the combination of these three ions. For its ability to ionize most compounds, to efficiently fragment them to generate ions with distinct m/z ratio, and to enhance the differentiation of compounds of similar masses, O reagent ion should be preferentially considered. The use of one single ion rather than three enables to limit the time of analysis and the number of variables to be treated. The technique allowed the distinction of high and low aroma compounds producers as confirmed by headspace solid-phase microextraction followed by gas chromatography-mass spectrometry (HS-SPME/GC-MS) analyses. SIFT-MS is a quick and interesting tool with potential application in various fields of viticulture such as phenotyping of grape varieties or non-targeted studies on the impact of environmental factors or viticultural practices on grape aroma composition.

摘要

本研究通过 SIFT-MS 扫描结合简单的化学计量学方法(如方差分析(ANOVA)、主成分分析(PCA)和层次聚类分析(HAC)),探索了一种快速区分葡萄品种的方法,主要基于其挥发性化合物的组成。使用 O、HO 和 NO 作为反应离子,以及这三种离子的组合,可以区分 23 种研究的葡萄品种。由于其能够电离大多数化合物、有效地将它们断裂以产生具有独特 m/z 比的离子,并且增强了相似质量化合物的区分能力,因此应优先考虑 O 反应离子。与使用三种离子相比,使用单一离子可以限制分析时间和处理的变量数量。该技术允许区分高香气化合物和低香气化合物的生产者,这一点通过顶空固相微萃取结合气相色谱-质谱(HS-SPME/GC-MS)分析得到了证实。SIFT-MS 是一种快速而有趣的工具,具有在葡萄栽培的各个领域应用的潜力,例如葡萄品种的表型分析或非靶向研究环境因素或葡萄栽培措施对葡萄香气组成的影响。

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