Molecular network analysis of food materials: workflow and applications

Food metabolomics, which is the study of food material components, has contributed significantly to the advancement of food science. Recently, molecular network analysis has attracted attention as a new method in metabolomics. Based on the theory that “compounds with similar skeletons give similar fragment ions when analyzed by MS/MS”, molecular network analysis can provide chemical profiles of natural ingredients in food materials easily and rapidly. In this review, we introduce a workflow for molecular network analysis and its applications to food materials. In food science, molecular network analysis is suitable for the elucidation and comparison of chemical profiles, the selective isolation of new or bioactive compounds, and the exploration of potential chemical markers and hazardous substances.

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Publication Details

Journal
Food Science and Technology Research
Published
2025-08-25
DOI
https://doi.org/10.3136/fstr.fstr-d-25-00114
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Molecular network analysis of food materials: workflow and applications

Shigenori Kumazawa, Ryo Miyata
Food Science and Technology Research
Metabolomics and Mass Spectrometry Studies
article

Molecular network analysis of food materials: workflow and applications

Shigenori Kumazawa, Ryo Miyata
article en

Abstract

Food metabolomics, which is the study of food material components, has contributed significantly to the advancement of food science. Recently, molecular network analysis has attracted attention as a new method in metabolomics. Based on the theory that “compounds with similar skeletons give similar fragment ions when analyzed by MS/MS”, molecular network analysis can provide chemical profiles of natural ingredients in food materials easily and rapidly. In this review, we introduce a workflow for molecular network analysis and its applications to food materials. In food science, molecular network analysis is suitable for the elucidation and comparison of chemical profiles, the selective isolation of new or bioactive compounds, and the exploration of potential chemical markers and hazardous substances.

Food Science and Technology ResearchVol. 32(1)
University of Shizuoka (JP), Food & Nutrition (NL), National Institute of Advanced Industrial Science and Technology (JP)
Japan Society for the Promotion of Science
Zero hunger
Openalex Percentile: Top 80%
Metabolomics and Mass Spectrometry Studies
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