Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
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: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
}
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 -
ID: 45076439