Suppr超能文献

发酵过程中豆酱(发酵大豆酱)的代谢产物分析。

Metabolite profiling of doenjang, fermented soybean paste, during fermentation.

机构信息

Department of Food Science and Technology, Ewha Woman's University, 11-1 Daehyun-dong, Seodaemun-gu, Seoul 120-750, South Korea.

出版信息

J Sci Food Agric. 2010 Aug 30;90(11):1926-35. doi: 10.1002/jsfa.4036.

Abstract

BACKGROUND

A fermented soybean paste known as doenjang is a traditional fermented food that is widely consumed in Korea. The quality of doenjang varies considerably by its basic ingredients, species of microflora, and fermentation process. The classification of predefined metabolites (e.g. amino acids, organic acids, sugars and sugar derivatives, and fatty acids) in doenjang samples according to fermentation was performed by using GC-FID and GC-MS data sets with the application of a multivariate statistical method.

RESULTS

The predominantly produced amino acids included alanine, valine, leucine, isoleucine, proline, glutamine, phenylalanine and lysine, showing remarkable increases in amounts during the later stages of fermentation. Carbonic acid, citric acid, lactic acid and pyrogultamic acid were identified as the major organic acids. Significant amounts of erythrose, xylitol, inositol and mannitol were detected during fermentation. Regarding fatty acids, relatively higher amounts of palmitic acid, stearic acid, oleic acid, linoleic acid and linolenic acid were found in the doenjang at each fermentation time point. Principal component analysis (PCA) successfully demonstrated changes in composition patterns as well as differences in non-volatile metabolites according to fermentation period.

CONCLUSION

A set of metabolites could be determined representing the quality of doenjang during fermentation, and which might also be correlated with taste ingredients, flavour, nutrition, and physiology activities that are claimed to be dependent on the quality control of commercial doenjang.

摘要

背景

一种名为豆酱的发酵大豆酱是一种在韩国广泛食用的传统发酵食品。豆酱的质量因其基本成分、微生物种类和发酵过程的不同而有很大差异。使用 GC-FID 和 GC-MS 数据集以及多变量统计方法,根据发酵对豆酱样品中预定义代谢物(例如氨基酸、有机酸、糖和糖衍生物以及脂肪酸)进行分类。

结果

主要产生的氨基酸包括丙氨酸、缬氨酸、亮氨酸、异亮氨酸、脯氨酸、谷氨酰胺、苯丙氨酸和赖氨酸,在发酵后期数量显著增加。鉴定出的主要有机酸为碳酸、柠檬酸、乳酸和吡咯烷酮酸。在发酵过程中检测到大量的赤藓糖、木糖醇、肌醇和甘露醇。关于脂肪酸,在每个发酵时间点,豆酱中发现相对较高量的棕榈酸、硬脂酸、油酸、亚油酸和亚麻酸。主成分分析(PCA)成功地证明了组成模式的变化以及非挥发性代谢物根据发酵时间的差异。

结论

可以确定一组代谢物,代表发酵过程中豆酱的质量,这些代谢物可能与声称依赖于商业豆酱质量控制的味道成分、风味、营养和生理活性有关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验