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Distinguishing Commercial Beers Using a Solution-Based Sensor Array Derived from Nanoscale Polydiacetylene Vesicles
ACS Applied Nano Materials ( IF 5.9 ) Pub Date : 2020-03-24 , DOI: 10.1021/acsanm.0c00187
Xiaomin Qian 1 , Carina L. Gargalo 2 , Krist V. Gernaey 2 , Brigitte Städler 1
Affiliation  

The fast and effective discrimination of different liquid mixtures such as beers is a long-standing challenge in the food and beverage industry. We report the fabrication of a solution-based sensor array derived from nanoscale polydiacetylene (PDA) vesicles to distinguish different ethanol containing aqueous solutions supplemented with different model flavor compounds relevant in beers. The sensitivity of the sensors was significantly affected by the head group modification of the diacetylenes and the composition of the sensors. Finally, a selected set of sensors was utilized as a sensor array to distinguish different commercial beers in combination with statistical data analysis. This approach represents an effort toward the employment of low-cost sensors with an easy read-out for the fast discrimination of different beverages.

中文翻译:

使用源自纳米级聚二乙炔囊泡的基于溶液的传感器阵列区分商业啤酒

快速有效地区分不同液体混合物(例如啤酒)是食品和饮料行业的长期挑战。我们报告从纳米级聚二乙炔(PDA)囊泡派生出一种基于溶液的传感器阵列,以区分不同的含乙醇水溶液,并补充了与啤酒相关的不同模型风味化合物。传感器的灵敏度受到联乙炔头基的修饰和传感器组成的影响。最后,结合统计数据分析,将一组选定的传感器用作传感器阵列,以区分不同的商业啤酒。这种方法代表着使用低成本传感器的努力,该传感器具有易于读取的特性,可快速区分不同的饮料。
更新日期:2020-03-24
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