Abstract
AbstractThe proposed method as CAPoNeF (Comparative Analysis of Positive and Negative Fluctuations) allows to “read” any trendless sequence quantitatively irrespective of the imposed model and treatment errors that inevitably accompany random sequence. This method will have a wide possibility because of its generality and simplicity in possible applications. In particular, the proposed strategy makes it possible to detect weak signals in the time electrochemical series caused by the presence of random micro‐impurities in the studied solutions as objects of analysis. On the example of the current‐voltage time series of sugar syrups of various manufacturers, the possibility of identifying numerical parameters is shown. Hidden in the noise, analytical signals can be used to express the similarity or difference between sugars from different manufacturers.
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