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By Larisa Lvova, Dmitry Kirsanov, Corrado Di Natale, Audrey Legin
This booklet is dedicated to the new advances within the improvement of man-made sensory structures widely recognized as digital tongues (ET). It includes contributions by means of trendy authors from world wide. every one bankruptcy makes a speciality of a selected study course in smooth ET. It introduces and discusses intimately quite a few designs, sensor fabrics, transduction ideas, and functions. The ebook exhibits a screenshot Read more...
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Extra info for Multisensor Systems for Chemical Analysis: Materials and Sensors
Sample text
The danger of such a situation and the need for careful model validation to avoid it has been extensively discussed. Several validation strategies for obtaining reliable calibration models, even in cases when only a restricted number of calibration samples is available, have been suggested. These include cross-validation, external set validation, permutation tests, boot-strapping, Monte Carlo cross-validation, etc. [49–54]. In case of potentiometric multisensor systems, the development of non-specific sensors is closely related to that of ISEs and, thus, may use the advantages and pathways elaborated in this area.
A long and extensive history of ISEs clearly demonstrates that considerable improvement of selectivity is very hard, if possible at all. The development of highly selective potentiometric sensors for certain applications can be a very challenging task, for example, when target analytes are present in the mixture with interferents of similar chemical nature. In such cases, multisensor approach can be implemented. Instead of striving for a single sensor with highest possible selectivity towards one particular ion, one can construct an array of multiple sensors, where each of the sensors is not highly selective, but has different sensitivity spectra towards several analytes.
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