posted on 2020-03-24, 12:03authored byXiaomin Qian, Carina L. Gargalo, Krist V. Gernaey, Brigitte Städler
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.