Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Two analyte calibration from the transient response of potentiometric sensors employed with the SIA technique. / Cartas, Raul; Mimendia, Aitor; Legin, Andrey; Del Valle, Manel.
Olfaction and Electronic Nose - Proceedings of the 13th International Symposium on Olfaction and Electronic Nose, ISOEN. Vol. 1137 2009. p. 543-546.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Two analyte calibration from the transient response of potentiometric sensors employed with the SIA technique
AU - Cartas, Raul
AU - Mimendia, Aitor
AU - Legin, Andrey
AU - Del Valle, Manel
PY - 2009/11/27
Y1 - 2009/11/27
N2 - Calibration models for multi-analyte electronic tongues have been commonly built using a set of sensors, at least one per analyte under study. Complex signals recorded with these systems are formed by the sensors' responses to the analytes of interest plus interferents, from which a multivariate response model is then developed. This work describes a data treatment method for the simultaneous quantification of two species in solution employing the signal from a single sensor. The approach used here takes advantage of the complex information recorded with one electrode's transient after insertion of sample for building the calibration models for both analytes. The departure information from the electrode was firstly processed by discrete wavelet for transforming the signals to extract useful information and reduce its length, and then by artificial neural networks for fitting a model. Two different potentiometric sensors were used as study case for simultaneously corroborating the effectiveness of the approach.
AB - Calibration models for multi-analyte electronic tongues have been commonly built using a set of sensors, at least one per analyte under study. Complex signals recorded with these systems are formed by the sensors' responses to the analytes of interest plus interferents, from which a multivariate response model is then developed. This work describes a data treatment method for the simultaneous quantification of two species in solution employing the signal from a single sensor. The approach used here takes advantage of the complex information recorded with one electrode's transient after insertion of sample for building the calibration models for both analytes. The departure information from the electrode was firstly processed by discrete wavelet for transforming the signals to extract useful information and reduce its length, and then by artificial neural networks for fitting a model. Two different potentiometric sensors were used as study case for simultaneously corroborating the effectiveness of the approach.
KW - Muli-analyte calibration
KW - Neural network
KW - Potentiometry
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=70450219750&partnerID=8YFLogxK
U2 - 10.1063/1.3156611
DO - 10.1063/1.3156611
M3 - Conference contribution
AN - SCOPUS:70450219750
SN - 9780735406742
VL - 1137
SP - 543
EP - 546
BT - Olfaction and Electronic Nose - Proceedings of the 13th International Symposium on Olfaction and Electronic Nose, ISOEN
T2 - 13th International Symposium on Olfaction and Electronic Nose, ISOEN
Y2 - 15 April 2009 through 17 April 2009
ER -
ID: 30506511