芳香
风味
化学
智能手机
重复性
食品科学
色谱法
计算机科学
电信
作者
Yanmei Zhu,F. Xiang,Yuanyuan Su,Xue Jiang,Yipeng Cang,Wanjun Long,Wei Lan,Gaoqiong Deng,Hengye Chen,Yuanbin She,Haiyan Fu
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2023-11-13
卷期号:438: 137980-137980
被引量:9
标识
DOI:10.1016/j.foodchem.2023.137980
摘要
High - temperature Daqu Baijiu faces a challenge from illegal adulteration of high-grade Baijiu bottles with low-grade Baijiu, affecting its quality and value. This study developed a rapid identification method for high temperature Daqu Baijiu with the same aroma type using a four-channel visual array sensor and detection of color changes caused by competition coordination with Zn2+ and color-changing organic dyes. The array sensor demonstrated high stability and repeatability in targeting flavor components and achieved 97.78 % or more accuracy combined with DD-SIMCA model in detecting adulteration across the Baijiu with same aroma type. The results of GC-MS and Quantum Chemical Calculation showed that esters, acids, and pyrazines played a crucial role. The smart phone App could quickly identify the authenticity of Baijiu with accuracy achieved 93 %. This research provides a foundation for rapid and reliable assessment of Baijiu quality and authenticity, enabling the industry to combat fraudulent practices effectively.
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