Investigation of Relationship Between Sake-making Parameters and Sake Metabolites Using a Newly Developed Sake Metabolome Analysis Method
Overview
Biomedical Engineering
Microbiology
Authors
Affiliations
We developed a sake metabolome analysis method using liquid chromatography-quadrupole/time-of-flight mass spectrometry to investigate the metabolome of various types of sakes and other alcohol beverages. Our method identified 198 compounds by comparison with standard metabolites. Using this method, we investigated the relationship between several sake-making parameters and sake metabolites by conducting combination experiments of these parameters using small-scale fermentation. The results indicated that all parameters significantly affected sake metabolites (P < 0.005) and most peaks were affected by multiple sake-making parameters. Interestingly, the effect of the rice cultivar on sake metabolites was higher for koji rice than for kake-rice. This result suggests that the rice cultivar used has a greater effect on the characteristics of Aspergillus oryzae compared to sake yeast and affects sake metabolites. In this study, we also evaluated the combined effect of several parameters. We demonstrated the different effects of each parameter on several amino acids. The results showed a new aspect of the science of sake making. For example, the amount of α-ethylglucoside, which can affect the taste of sake, was negatively correlated with α-glucosidase activity in koji (r = -0.84). In this study, various unidentified peaks were observed; detectable peaks can be increased by analyzing additional standard reagents. Investigating these unidentified peaks and accumulating datasets for sake-making parameters will give us insight into how to improve sake taste and quality.
Fungal research in Japan: tradition and future.
Takeshita N Fungal Biol Biotechnol. 2020; 7:14.
PMID: 32974037 PMC: 7507618. DOI: 10.1186/s40694-020-00104-1.
Invasive growth of in rice and increase of nuclear number.
Yasui M, Oda K, Masuo S, Hosoda S, Katayama T, Maruyama J Fungal Biol Biotechnol. 2020; 7:8.
PMID: 32518660 PMC: 7275602. DOI: 10.1186/s40694-020-00099-9.