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Multivariate calibration transfer between two different types of multisensor systems. / Khaydukova, Maria; Medina-Plaza, Cristina; Rodriguez-Mendez, Maria Luz; Panchuk, Vitaly; Kirsanov, Dmitry; Legin, Andrey.

In: Sensors and Actuators, B: Chemical, Vol. 246, 2017, p. 994-1000.

Research output: Contribution to journalArticlepeer-review

Harvard

Khaydukova, M, Medina-Plaza, C, Rodriguez-Mendez, ML, Panchuk, V, Kirsanov, D & Legin, A 2017, 'Multivariate calibration transfer between two different types of multisensor systems', Sensors and Actuators, B: Chemical, vol. 246, pp. 994-1000. https://doi.org/10.1016/j.snb.2017.02.099

APA

Khaydukova, M., Medina-Plaza, C., Rodriguez-Mendez, M. L., Panchuk, V., Kirsanov, D., & Legin, A. (2017). Multivariate calibration transfer between two different types of multisensor systems. Sensors and Actuators, B: Chemical, 246, 994-1000. https://doi.org/10.1016/j.snb.2017.02.099

Vancouver

Author

Khaydukova, Maria ; Medina-Plaza, Cristina ; Rodriguez-Mendez, Maria Luz ; Panchuk, Vitaly ; Kirsanov, Dmitry ; Legin, Andrey. / Multivariate calibration transfer between two different types of multisensor systems. In: Sensors and Actuators, B: Chemical. 2017 ; Vol. 246. pp. 994-1000.

BibTeX

@article{6c4ff06cca8e430d9ec09ce81aae63b9,
title = "Multivariate calibration transfer between two different types of multisensor systems",
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.",
keywords = "Calibration transfer, Electronic tongue, Multisensor system",
author = "Maria Khaydukova and Cristina Medina-Plaza and Rodriguez-Mendez, {Maria Luz} and Vitaly Panchuk and Dmitry Kirsanov and Andrey Legin",
year = "2017",
doi = "10.1016/j.snb.2017.02.099",
language = "English",
volume = "246",
pages = "994--1000",
journal = "Sensors and Actuators, B: Chemical",
issn = "0925-4005",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Multivariate calibration transfer between two different types of multisensor systems

AU - Khaydukova, Maria

AU - Medina-Plaza, Cristina

AU - Rodriguez-Mendez, Maria Luz

AU - Panchuk, Vitaly

AU - Kirsanov, Dmitry

AU - Legin, Andrey

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Calibration transfer

KW - Electronic tongue

KW - Multisensor system

UR - http://www.scopus.com/inward/record.url?scp=85014504586&partnerID=8YFLogxK

U2 - 10.1016/j.snb.2017.02.099

DO - 10.1016/j.snb.2017.02.099

M3 - Article

AN - SCOPUS:85014504586

VL - 246

SP - 994

EP - 1000

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

ER -

ID: 9273982