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Please use this identifier to cite or link to this item: http://uvadoc.uva.es/handle/10324/23552
Title: Multivariate calibration transfer between two different types of multisensor systems
Authors: Khaydukova, Maria M.
Medina Plaza, Cristina
Rodríguez Méndez, María Luz
Panchuk, Vitaly V.
Kirsanov, Dmitry O.
Legin, Andrey Andrey V.
Issue Date: 2017
Publisher: Elsevier
Description: Producción Científica
Citation: Sensors and Actuators B, 2017, vol. 246, p. 994–1000
Abstract: The 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.
Classification: Multisensor system
Electronic tongue
Calibration transfer
Peer Review: SI
DOI: 10.1016/j.snb.2017.02.099
Sponsor: M. Khaydukova acknowledges joint scholarship program of St. Petersburg State University and Bank Santander.
M. Khaydukova and A. Legin acknowledge partial financial support of this study from St. Petersburg State University research grant #12.37.216.2016.
D. Kirsanov acknowledges partial financial support of his work by the Government of Russian Federation, Grant 074-U01.
Financial support by MINECO and FEDER (AGL2015- 67482-R).
Junta de Castilla y León-FEDER (VA011U16).
C. Medina-Plaza thanks the University of Valladolid for a PIF UVA scholarship.
Rights Owner: Elsevier
Language: eng
URI: http://uvadoc.uva.es/handle/10324/23552
Rights: info:eu-repo/semantics/restrictedAccess
Confiscate2220-12-31
Appears in Collections:DEP63 - Artículos de revista

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