Standard

Extending electronic tongue calibration lifetime through mathematical drift correction: Case study of microcystin toxicity analysis in waters. / Panchuk, V.; Lvova, L.; Kirsanov, D.; Gonçalves, C.G.; Di Natale, C.; Paolesse, R.; Legin, A.

In: Sensors and Actuators, B: Chemical, Vol. 237, 2016, p. 962-968.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Panchuk, V. ; Lvova, L. ; Kirsanov, D. ; Gonçalves, C.G. ; Di Natale, C. ; Paolesse, R. ; Legin, A. / Extending electronic tongue calibration lifetime through mathematical drift correction: Case study of microcystin toxicity analysis in waters. In: Sensors and Actuators, B: Chemical. 2016 ; Vol. 237. pp. 962-968.

BibTeX

@article{231215fe063a48c1a1226b17e5f42984,
title = "Extending electronic tongue calibration lifetime through mathematical drift correction: Case study of microcystin toxicity analysis in waters",
abstract = "{\textcopyright} 2016 Elsevier B.V.There are certain issues in e-tongue research which precludes wide adoption of these systems in routine analytical practice. An important problem relates to sensor readings{\textquoteright} drift which may invalidate corresponding multivariate calibration. Invalidation of established multivariate classification and regression models during a certain period of time leads to necessity of frequent e-tongue system recalibration requiring significant investment of time and efforts. An alternative approach can be based on mathematical sensor drift correction using sensor responses in certain standard solutions which are measured with required periodicity. In this study we show that application of univariate single sensor standardization approach (similar to single wavelength standardization suggested in spectroscopy) can significantly improve precision of both regression and classification models and can extend a calibration lifetime up to the period of over two months compared with two weeks for raw uncorrecte",
author = "V. Panchuk and L. Lvova and D. Kirsanov and C.G. Gon{\c c}alves and {Di Natale}, C. and R. Paolesse and A. Legin",
year = "2016",
doi = "10.1016/j.snb.2016.07.045",
language = "English",
volume = "237",
pages = "962--968",
journal = "Sensors and Actuators, B: Chemical",
issn = "0925-4005",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Extending electronic tongue calibration lifetime through mathematical drift correction: Case study of microcystin toxicity analysis in waters

AU - Panchuk, V.

AU - Lvova, L.

AU - Kirsanov, D.

AU - Gonçalves, C.G.

AU - Di Natale, C.

AU - Paolesse, R.

AU - Legin, A.

PY - 2016

Y1 - 2016

N2 - © 2016 Elsevier B.V.There are certain issues in e-tongue research which precludes wide adoption of these systems in routine analytical practice. An important problem relates to sensor readings’ drift which may invalidate corresponding multivariate calibration. Invalidation of established multivariate classification and regression models during a certain period of time leads to necessity of frequent e-tongue system recalibration requiring significant investment of time and efforts. An alternative approach can be based on mathematical sensor drift correction using sensor responses in certain standard solutions which are measured with required periodicity. In this study we show that application of univariate single sensor standardization approach (similar to single wavelength standardization suggested in spectroscopy) can significantly improve precision of both regression and classification models and can extend a calibration lifetime up to the period of over two months compared with two weeks for raw uncorrecte

AB - © 2016 Elsevier B.V.There are certain issues in e-tongue research which precludes wide adoption of these systems in routine analytical practice. An important problem relates to sensor readings’ drift which may invalidate corresponding multivariate calibration. Invalidation of established multivariate classification and regression models during a certain period of time leads to necessity of frequent e-tongue system recalibration requiring significant investment of time and efforts. An alternative approach can be based on mathematical sensor drift correction using sensor responses in certain standard solutions which are measured with required periodicity. In this study we show that application of univariate single sensor standardization approach (similar to single wavelength standardization suggested in spectroscopy) can significantly improve precision of both regression and classification models and can extend a calibration lifetime up to the period of over two months compared with two weeks for raw uncorrecte

U2 - 10.1016/j.snb.2016.07.045

DO - 10.1016/j.snb.2016.07.045

M3 - Article

VL - 237

SP - 962

EP - 968

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

ER -

ID: 7951237