Electronic language has learned to recognize beer types

Several years ago, a team of scientists led by Professor Manel Del Valle of the Independent University of Barcelona developed an electronic language capable of distinguishing between wines. Now, researchers have taught the language to recognize different beers with a probability of about 82%.

Electronic tongue is based on human understanding of taste, but an array of special sensors is used as a substitute for taste buds. This array consists of 21 ion-selective electrodes, including those that can react to cations and anions.

“The concept of electronic language is to use a universal array of sensors, ” says Del Valle. "In other words, sensors recognize different chemical compounds, and then this information is processed using modern tools, which together create an artificial neural network."

Scientists say the technology they have developed will enable robots to gain a sense of taste. This will improve the quality of drinks and food by replacing tasters with robots.