Information Processing in Chemical Sensing: Unified Evolution Coding by Stretched Exponential
Multicomponent biochemical environments (MBE) of various composition and aggregate state are an integral part of the world around us (living organisms, ponds, atmosphere, products of the food and pharmaceutical industry, etc.). Therefore, the possibility of identifying (i) individual target components in MBE (including potentially dangerous ones); (ii) the occurrence of some specific reactions in them; (iii) the identification or monitoring of the MBE state as a whole is a problem of significant interest, and this interest is constantly growing as a result of the acceleration of informatization of modern industrial society. At the same time, the presence of low-informative MBE components containing a large number of different, often unknown, compounds determines uncertainty in the interpretation of the results of their analysis by (bio)chemical sensors due to non-specific sorption and, accordingly, limits their widespread use. Making decisions in such uncertain conditions requires additional information regarding the fact that the sensor response is the result of the “selected” specific recognition process. In this paper, this important scientific problem is solved by analyzing the dynamics of the sensory response and setting unique kinetic process markers at the interface of phases. This not only allows to further characterize the interaction of the analyte with the sensitive layer, which facilitates the identification of the analyte, but also provides an effective tool for the development and optimization of sensor elements and systems based on physical transducers of the surface type.
KeywordsMulticomponent biochemical environments (Bio)chemical sensors Stretched exponential function
This research was partly funded by the NATO Science for Peace and Security Programme under the Grant G5140 and Projects of the National Academy of Sciences of Ukraine.
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