期刊
FOOD CHEMISTRY
卷 361, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.130112
关键词
FT-ICR-MS; Maillard reaction; Foodomics; Beer metabolomics; Molecular networking; Mass difference network
The study utilized FT-ICR-MS to comprehensively analyze the Maillard reaction in beer, finding it to be a major driving force behind the molecular diversity in beer and leading to key compositional changes in the beer metabolome. Different visualization methods revealed the systematic nature of Maillard reaction derived compounds, while mass difference network analysis and shortest path analysis identified major compositional changes and general reaction sequences associated with successive Maillard intermediate phase reactions.
We here report a comprehensive non-targeted analytical approach to describe the Maillard reaction in beer. By Fourier-transform ion cyclotron mass spectrometry (FT-ICR-MS), we were able to assign thousands of unambiguous molecular formulae to the mass signals and thus directly proceed to the compositional space of 250 analyzed beer samples. Statistical data analyses of the annotated compositions showed that the Maillard reaction is one of the driving forces of beer's molecular diversity leading to key compositional changes in the beer metabolome. Different visualization methods allowed us to map the systematic nature of Maillard reaction derived compounds. The typical molecular pattern, validated by an experimental Maillard reaction model system, pervades over 2,800 (40%) of the resolved small molecules. The major compositional changes were investigated by mass difference network analysis. We were able to reveal general reaction sequences that could be assigned to successive Maillard intermediate phase reactions by shortest path analysis.
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