Enantioselective Amino Acid Profile Improves Metabolomics-based Sensory Prediction of Japanese Sake

Japanese sake reportedly contains several D-amino acids that could contribute to its characteristic flavor. In this study, component profiling of Japanese sake using combined data of gas chromatography/mass spectrometry (GC/MS)-based metabolomics and liquid chromatography/mass spectrometry (LC/MS)-b...

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Bibliographic Details
Published in:FOOD SCIENCE AND TECHNOLOGY RESEARCH 2019, Vol.25(6), pp.775-784
Main Authors: Taniguchi, Moyu, Shimotori, Asako, Fukusaki, Eiichiro
Format: Article
Language:English
Subjects:
Amino acids
Chromatography
Correlation analysis
d-amino acid
D-Amino acids
Enantiomers
enantioselective amino acid analysis
Flavor
Gas chromatography
Japanese sake
Linearity
Liquid chromatography
Mass spectrometry
Mass spectroscopy
Metabolomics
Prediction models
Regression analysis
Scientific imaging
Sensory evaluation
Spectroscopy
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Summary:Japanese sake reportedly contains several D-amino acids that could contribute to its characteristic flavor. In this study, component profiling of Japanese sake using combined data of gas chromatography/mass spectrometry (GC/MS)-based metabolomics and liquid chromatography/mass spectrometry (LC/MS)-based enantioselective amino acid analysis, and orthogonal partial least squares (OPLS) regression analysis was conducted. GC/MS-based metabolomics is typically the first choice in constructing taste prediction models because it can perform a comprehensive analysis of hydrophilic compounds to obtain informative, explanatory variables. Here, enantioselective amino acid profiles obtained by LC/MS were also used as explanatory variables instead of non-enantioselective amino acid data, which are part of the GC/MS results. The evaluation of prediction models by linearity (R2), predictability (Q2), and root mean square error estimation (RMSEE) indicated that enantioselective amino acid profiles improved metabolomics-based sensory prediction.
ISSN:1344-6606
1881-3984
DOI:10.3136/fstr.25.775