Response Standardization for Drift Correction and Multivariate Calibration Transfer in “Electronic Tongue” Studies

Research output

Abstract

The procedures for response standardization in “electronic tongue” (ET) studies are described. The construction of reliable multivariate calibration for “electronic tongue” requires the analysis of a large number of representative samples both with ET and reference techniques. This is a laborious and expensive process. Long-term sensor array operation leads to the changes in sensor response characteristics and thus invalidates the multivariate predictive models. Moreover, due to the individual parameters of each sensor in different sensor arrays, it is not possible to use the calibration model for one system together with the data acquired by another system, even if they have the same sensors. Both of these issues lead to the necessity of frequent sensor array calibration which would be ideal to avoid. Instead of recalibration, these two problems can be handled using mathematical methods intended for sensor response standardization. This chapter describes two popular methods of standardization which can be used for both drift correction and calibration transfer. Thus, significant efforts on measuring representative sample sets for sensor array recalibration can be avoided.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press
Pages181-194
Number of pages14
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameMethods in Molecular Biology
Volume2027
ISSN (Print)1064-3745

Fingerprint

Electronic Nose
Calibration

Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

@inbook{9de162559ee44f4fbc38352a85f7294d,
title = "Response Standardization for Drift Correction and Multivariate Calibration Transfer in “Electronic Tongue” Studies",
abstract = "The procedures for response standardization in “electronic tongue” (ET) studies are described. The construction of reliable multivariate calibration for “electronic tongue” requires the analysis of a large number of representative samples both with ET and reference techniques. This is a laborious and expensive process. Long-term sensor array operation leads to the changes in sensor response characteristics and thus invalidates the multivariate predictive models. Moreover, due to the individual parameters of each sensor in different sensor arrays, it is not possible to use the calibration model for one system together with the data acquired by another system, even if they have the same sensors. Both of these issues lead to the necessity of frequent sensor array calibration which would be ideal to avoid. Instead of recalibration, these two problems can be handled using mathematical methods intended for sensor response standardization. This chapter describes two popular methods of standardization which can be used for both drift correction and calibration transfer. Thus, significant efforts on measuring representative sample sets for sensor array recalibration can be avoided.",
keywords = "Calibration transfer, Drift correction, Electronic tongue, Multivariate calibration, Response standardization",
author = "Vitaly Panchuk and Valentin Semenov and Larisa Lvova and Andrey Legin and Dmitry Kirsanov",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-1-4939-9616-2_15",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press",
pages = "181--194",
booktitle = "Methods in Molecular Biology",
address = "United States",

}

Response Standardization for Drift Correction and Multivariate Calibration Transfer in “Electronic Tongue” Studies. / Panchuk, Vitaly; Semenov, Valentin; Lvova, Larisa; Legin, Andrey; Kirsanov, Dmitry.

Methods in Molecular Biology. Humana Press, 2019. p. 181-194 (Methods in Molecular Biology; Vol. 2027).

Research output

TY - CHAP

T1 - Response Standardization for Drift Correction and Multivariate Calibration Transfer in “Electronic Tongue” Studies

AU - Panchuk, Vitaly

AU - Semenov, Valentin

AU - Lvova, Larisa

AU - Legin, Andrey

AU - Kirsanov, Dmitry

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The procedures for response standardization in “electronic tongue” (ET) studies are described. The construction of reliable multivariate calibration for “electronic tongue” requires the analysis of a large number of representative samples both with ET and reference techniques. This is a laborious and expensive process. Long-term sensor array operation leads to the changes in sensor response characteristics and thus invalidates the multivariate predictive models. Moreover, due to the individual parameters of each sensor in different sensor arrays, it is not possible to use the calibration model for one system together with the data acquired by another system, even if they have the same sensors. Both of these issues lead to the necessity of frequent sensor array calibration which would be ideal to avoid. Instead of recalibration, these two problems can be handled using mathematical methods intended for sensor response standardization. This chapter describes two popular methods of standardization which can be used for both drift correction and calibration transfer. Thus, significant efforts on measuring representative sample sets for sensor array recalibration can be avoided.

AB - The procedures for response standardization in “electronic tongue” (ET) studies are described. The construction of reliable multivariate calibration for “electronic tongue” requires the analysis of a large number of representative samples both with ET and reference techniques. This is a laborious and expensive process. Long-term sensor array operation leads to the changes in sensor response characteristics and thus invalidates the multivariate predictive models. Moreover, due to the individual parameters of each sensor in different sensor arrays, it is not possible to use the calibration model for one system together with the data acquired by another system, even if they have the same sensors. Both of these issues lead to the necessity of frequent sensor array calibration which would be ideal to avoid. Instead of recalibration, these two problems can be handled using mathematical methods intended for sensor response standardization. This chapter describes two popular methods of standardization which can be used for both drift correction and calibration transfer. Thus, significant efforts on measuring representative sample sets for sensor array recalibration can be avoided.

KW - Calibration transfer

KW - Drift correction

KW - Electronic tongue

KW - Multivariate calibration

KW - Response standardization

UR - http://www.scopus.com/inward/record.url?scp=85069437108&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/response-standardization-drift-correction-multivariate-calibration-transfer-electronic-tongue-studie

U2 - 10.1007/978-1-4939-9616-2_15

DO - 10.1007/978-1-4939-9616-2_15

M3 - Article in an anthology

C2 - 31309482

AN - SCOPUS:85069437108

T3 - Methods in Molecular Biology

SP - 181

EP - 194

BT - Methods in Molecular Biology

PB - Humana Press

ER -