Abstract
We have developed a sensor setup for registering and quantitative comparison of the dynamics of bottom-up processes in drying drops using acoustical impedancemetry. We found that in the same environment the dynamics could be passport characteristics of the liquid. Every test requires one drop of liquid (3 μl) without any additional reagents, and takes 10–15 min. So it is possible to make rapid evaluation of the correspondence of multicomponent liquids to their own standards. It was shown that every brand of wine has its own “dynamic portrait,” which depends also on sort of the grape and its place of growing. Some features of the “dynamic portraits” closely correlate with such factors as extract, reduced sugars, SO2, and organic acids. This has been confirmed also by means of neural network processing. Correlations between wine tasters’ assessment, wine composition, and calculated parameters of our measurements were evaluated. Contamination of vodka with methanol can be identified within a few seconds. Technological work is under way to create the first user device model.
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