National Research Institute of Brewing, 3-7-1 Kagamiyama, Higashihiroshima, Hiroshima 739-0046, Japan.
Tokyo University of Agriculture, Fermentation Science, 1-1-1 Sakuragaoka, Setagaya, Tokyo 156-8502, Japan.
J Biosci Bioeng. 2019 Aug;128(2):183-190. doi: 10.1016/j.jbiosc.2019.01.013. Epub 2019 Mar 15.
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.
我们开发了一种使用液相色谱-四极杆/飞行时间质谱法分析清酒代谢组的方法,以研究各种清酒和其他酒精饮料的代谢组。我们通过与标准代谢物进行比较,鉴定出 198 种化合物。使用该方法,我们通过使用小批量发酵对这些参数进行组合实验,研究了几个清酒酿造参数与清酒代谢物之间的关系。结果表明,所有参数都显著影响清酒代谢物(P < 0.005),大多数峰都受到多个清酒酿造参数的影响。有趣的是,与酒母相比,大米品种对曲米的清酒代谢物影响更大。这一结果表明,与清酒酵母相比,用于酿造清酒的大米品种对米曲霉的特性有更大的影响,并影响清酒代谢物。在本研究中,我们还评估了几个参数的综合影响。我们展示了每个参数对几种氨基酸的不同影响。研究结果展示了清酒酿造科学的一个新方面。例如,影响清酒口感的α-乙基葡萄糖苷的含量与曲中的α-葡萄糖苷酶活性呈负相关(r = -0.84)。在本研究中,观察到了各种未识别的峰;通过分析更多的标准试剂,可以增加可检测峰的数量。研究这些未识别的峰并积累清酒酿造参数数据集,将使我们深入了解如何改善清酒的口感和质量。