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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Methods and Application of Food Composition Laboratory » Research » Publications at this Location » Publication #392681

Research Project: Advanced Technology for Rapid Comprehensive Analysis of the Chemical Components

Location: Methods and Application of Food Composition Laboratory

Title: Mass Spectrometry Based Non-Targeted and Targeted Analytical Approaches in Fingerprinting and Metabolomics of Food and Agricultral Research

Author
item ZHIHAO, LIU - University Of Maryland
item MENGLIANG, ZHANG - Middle Tennessee State University
item Chen, Pei
item Harnly, James - Jim
item Sun, Jianghao

Submitted to: Journal of Agriculture and Food Chemistry
Publication Type: Review Article
Publication Acceptance Date: 6/16/2022
Publication Date: 6/16/2022
Citation: Zhihao, L., Mengliang, Z., Chen, P., Harnly, J.M., Sun, J. 2022. Mass spectrometry based non-targeted and targeted analytical approaches in fingerprinting and metabolomics of food and agricultral research. Journal of Agriculture and Food Chemistry. 70(36):11138–11153. https://doi.org/10.1021/acs.jafc.2c01878.
DOI: https://doi.org/10.1021/acs.jafc.2c01878

Interpretive Summary: This manuscript reviewed the advances of mass spectrometry based non-targeted and targeted analytical approaches in fingerprinting and metabolomics of food and agricultural research.

Technical Abstract: Mass spectrometry-based techniques has been extensively applied in food and agricultural to evaluate the impact of the genetic, environmental, and management factors on the quality of agricultural products. This review summarizes MS based techniques including non-targeted methods such as flow injection MS fingerprinting, chromatography tandem MS metabolomics, direct analysis using ambient mass spectrometry, and recent advances in data deconvolution software packages and databases for MS metabolomic studies. Targeted MS-based approaches are complimentary to non-targetd analysis. The new mass spectrometric techniques and applications were summarized for the identification of important secondary metabolites using high resolution mass fragmentation behavior and new mass spectrometric data deconvolution approaches.