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dc.contributor.authorRodríguez Méndez, María Luz 
dc.contributor.authorKhaydukova, María
dc.contributor.authorMedina Plaza, Cristina
dc.contributor.authorPanchuka, Vitaly
dc.contributor.authorKirsanov, Dmitry
dc.contributor.authorLegin, Andrey Andrey V.
dc.date.accessioned2018-07-10T10:03:23Z
dc.date.issued2017
dc.identifier.citationSensors and Actuators B vol.246 p.994-1000es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/30580
dc.description.abstractThe most popular sensors in multisensor systems (electronic tongues) are voltammetric and potentiometric ones. Practical application of multisensor systems for evaluation of particular target parameters requires calibration step. Even if both types of sensors (voltammetric and potentiometric) can be sensitive towards the same parameter of an analyte and can be used for its quantification, corresponding multisensor systems cannot operate in the framework of a single unified calibration model interpreting the responses of both systems. This research is dedicated to experimental verification of calibration transfer feasibility between voltammetric and potentiometric multisensor systems. The algorithm of direct standardization suggested earlier in spectroscopy was applied for transformation of potentiometric data into voltammetric format, and vice versa. Such transformations allowed for interpretation of a system response by multivariate regression model built employing the data from another type of multisensor system. For example, concentration of the tartaric acid in the grape musts can be determined with the regression model developed for voltammetric system using the data obtained from potentiometric system. Only 20% decrease in precision was observed for the converted potentiometric data compared to initial voltammetric model.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleMultivariate calibration transfer between two different types of multisensor systems: is it feasible?es
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.snb.2017.02.099es
dc.peerreviewedSIes
dc.description.embargo2020-07-10es
dc.description.lift2020-07-10
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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