Revolutionizing food science with mass spectrometry imaging: A comprehensive review of applications and challenges

Author:

Shen Qing12,Wang Shitong1,Wang Honghai1,Liang Jingjing3,Zhao Qiaoling4,Cheng Keyun2,Imran Muhammad1ORCID,Xue Jing1,Mao Zhujun25ORCID

Affiliation:

1. Laboratory of Food Nutrition and Clinical Research, Institute of Seafood Zhejiang Gongshang University Hangzhou China

2. Panvascular Diseases Research Center The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital Quzhou China

3. Zhejiang Provincial Institute for Food and Drug Control Hangzhou China

4. Zhoushan Institute of Food & Drug Control Zhoushan China

5. School of Pharmaceutical Sciences Zhejiang Chinese Medical University Hangzhou China

Abstract

AbstractFood science encounters increasing complexity and challenges, necessitating more efficient, accurate, and sensitive analytical techniques. Mass spectrometry imaging (MSI) emerges as a revolutionary tool, offering more molecular‐level insights. This review delves into MSI's applications and challenges in food science. It introduces MSI principles and instruments such as matrix‐assisted laser desorption/ionization, desorption electrospray ionization, secondary ion mass spectrometry, and laser ablation inductively coupled plasma mass spectrometry, highlighting their application in chemical composition analysis, variety identification, authenticity assessment, endogenous substance, exogenous contaminant and residue analysis, quality control, and process monitoring in food processing and food storage. Despite its potential, MSI faces hurdles such as the complexity and cost of instrumentation, complexity in sample preparation, limited analytical capabilities, and lack of standardization of MSI for food samples. While MSI has a wide range of applications in food analysis and can provide more comprehensive and accurate analytical results, challenges persist, demanding further research and solutions. The future development directions include miniaturization of imaging devices, high‐resolution and high‐speed MSI, multiomics and multimodal data fusion, as well as the application of data analysis and artificial intelligence. These findings and conclusions provide valuable references and insights for the field of food science and offer theoretical and methodological support for further research and practice in food science.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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