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电子舌在鲜味检测及酱油精炼过程中的应用

Application of electronic tongue in umami detection and soy sauce refining process.

作者信息

Zhang Jianan, Zhao Xuechen, Li Lufang, Chen Wen, Zhao Qiangzhong, Su Guowan, Zhao Mouming

机构信息

School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.

Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou 510640, China.

出版信息

Food Chem X. 2023 Mar 20;18:100652. doi: 10.1016/j.fochx.2023.100652. eCollection 2023 Jun 30.

Abstract

The article systematically investigated the response behaviors of lipid-film equipped umami taste sensor to various umami compounds, including typical umami substances (umami amino acids, GMP, IMP, disodium succinate) and novel umami chemicals (umami peptide and Amadori rearrangement product of umami amino acid). The umami taste sensor has great specificity to all umami substances. Relationships between output values and concentrations of umami substances in certain ranges were consistent with Weber-Fechner law. The umami synergistic effect detected by the sensor was in great agreement with human sensory results as well, fitting logarithm model. Moreover, the taste profile mixing model of raw soy sauce was established using five different taste sensors and principal component analysis, realizing the simplification of soy sauce blending and acceleration of the soy sauce refining process. Thus, flexible design of the experimental procedure and multi-analysis of the sensor data is essential.

摘要

该文章系统地研究了配备脂质膜的鲜味味觉传感器对各种鲜味化合物的响应行为,这些化合物包括典型的鲜味物质(鲜味氨基酸、GMP、IMP、琥珀酸二钠)和新型鲜味化学物质(鲜味肽和鲜味氨基酸的阿马多里重排产物)。鲜味味觉传感器对所有鲜味物质具有高度特异性。在一定范围内,鲜味物质的输出值与浓度之间的关系符合韦伯-费希纳定律。该传感器检测到的鲜味协同效应也与人类感官结果高度一致,符合对数模型。此外,利用五种不同的味觉传感器和主成分分析建立了生酱油的味觉轮廓混合模型,实现了酱油调配的简化和酱油精炼过程的加速。因此,灵活设计实验程序和对传感器数据进行多分析至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1594/10060585/729911d0cf14/ga1.jpg

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