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The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

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Published on: October 5, 2016

Advanced LC-IMS-MS Protocol for Holistic Metabolite Analysis in Wine and Grape Samples.

Vania Sáez¹, Sara Ferrero-Del-Teso², Fulvio Mattivi¹

¹Department of Food Quality and Nutrition, Research and Innovation Center, Fondazione Edmund Mach, San Michele all'Adige, Italy.

Methods in Molecular Biology (Clifton, N.J.)

|January 15, 2025

Summary

This study presents a liquid chromatography-ion mobility spectrometry-mass spectrometry (LC-IMS-MS) protocol for comprehensive metabolomics analysis of wine and grape samples. This method enhances metabolite annotation in complex biological matrices.

Keywords:

CCS HDMSE Mass spectrometry Metabolite annotation Metabolomics Traveling wave ion mobility Vitis

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Area of Science:

Analytical Chemistry
Metabolomics
Food Science

Background:

Metabolomics aims for holistic study of the metabolome in biological samples.
Complex samples like wine require robust, sensitive, and specific analytical techniques for metabolite analysis.
Hardware advancements in hyphenated instruments have improved multi-class metabolite analysis.

Purpose of the Study:

To describe a liquid chromatography-ion mobility spectrometry-mass spectrometry (LC-IMS-MS) protocol for wine and grape metabolomics.
To highlight the utility of ion mobility spectrometry (IMS) data for metabolite annotation.
To enable comprehensive analysis of complex biological samples like wine.

Main Methods:

Development and application of a hyphenated LC-IMS-MS analytical protocol.
Analysis of metabolites in wine and grape samples.
Utilizing ion mobility spectrometry data for enhanced metabolite identification.

Main Results:

The described LC-IMS-MS protocol allows for robust, sensitive, and specific analysis of wine and grape metabolomes.
Ion mobility spectrometry data significantly aids in the annotation of detected metabolites.
The method is suitable for analyzing complex samples with diverse chemical classes and concentration ranges.

Conclusions:

LC-IMS-MS is a powerful approach for comprehensive metabolomics in complex matrices like wine.
The integration of IMS data improves the accuracy and reliability of metabolite annotation.
This protocol facilitates a deeper understanding of the metabolome in grapes and wine.