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Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique. / Cartas, Raul; Mimendia, Aitor; Legin, Andrey; del Valle, Manel.

в: Talanta, Том 80, № 3, 01.01.2010, стр. 1428-1435.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Cartas, R, Mimendia, A, Legin, A & del Valle, M 2010, 'Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique', Talanta, Том. 80, № 3, стр. 1428-1435. https://doi.org/10.1016/j.talanta.2009.09.048

APA

Cartas, R., Mimendia, A., Legin, A., & del Valle, M. (2010). Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique. Talanta, 80(3), 1428-1435. https://doi.org/10.1016/j.talanta.2009.09.048

Vancouver

Cartas R, Mimendia A, Legin A, del Valle M. Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique. Talanta. 2010 Янв. 1;80(3):1428-1435. https://doi.org/10.1016/j.talanta.2009.09.048

Author

Cartas, Raul ; Mimendia, Aitor ; Legin, Andrey ; del Valle, Manel. / Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique. в: Talanta. 2010 ; Том 80, № 3. стр. 1428-1435.

BibTeX

@article{cf3d207e74bb40c8ba501dd5b9426104,
title = "Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique",
abstract = "Simultaneous quantification of Cd2+ and Pb2+ in solution has been correctly targeted using the kinetic information from a single non-specific potentiometric sensor. Dual quantification was accomplished from the complex information in the transient response of an electrode used in a Sequential Injection Analysis (SIA) system and recorded after step injection of sample. Data was firstly preprocessed with the Discrete Wavelet Transform (DWT) to extract significant features and then fed into an Artificial Neural Network (ANN) for building the calibration model. DWT stage was optimized regarding the wavelet function and decomposition level, while the ANN stage was optimized on its structure. To simultaneously corroborate the effectiveness of the approach, two different potentiometric sensors were used as study case, one using a glass selective to Cd2+ and another a PVC membrane selective to Pb2+.",
keywords = "Artificial neural networks, Multi-analyte calibration, Potentiometry, SIA, Wavelet transform",
author = "Raul Cartas and Aitor Mimendia and Andrey Legin and {del Valle}, Manel",
year = "2010",
month = jan,
day = "1",
doi = "10.1016/j.talanta.2009.09.048",
language = "English",
volume = "80",
pages = "1428--1435",
journal = "Talanta",
issn = "0039-9140",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Two analyte calibrations from the transient response of a single potentiometric sensor employed with the SIA technique

AU - Cartas, Raul

AU - Mimendia, Aitor

AU - Legin, Andrey

AU - del Valle, Manel

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Simultaneous quantification of Cd2+ and Pb2+ in solution has been correctly targeted using the kinetic information from a single non-specific potentiometric sensor. Dual quantification was accomplished from the complex information in the transient response of an electrode used in a Sequential Injection Analysis (SIA) system and recorded after step injection of sample. Data was firstly preprocessed with the Discrete Wavelet Transform (DWT) to extract significant features and then fed into an Artificial Neural Network (ANN) for building the calibration model. DWT stage was optimized regarding the wavelet function and decomposition level, while the ANN stage was optimized on its structure. To simultaneously corroborate the effectiveness of the approach, two different potentiometric sensors were used as study case, one using a glass selective to Cd2+ and another a PVC membrane selective to Pb2+.

AB - Simultaneous quantification of Cd2+ and Pb2+ in solution has been correctly targeted using the kinetic information from a single non-specific potentiometric sensor. Dual quantification was accomplished from the complex information in the transient response of an electrode used in a Sequential Injection Analysis (SIA) system and recorded after step injection of sample. Data was firstly preprocessed with the Discrete Wavelet Transform (DWT) to extract significant features and then fed into an Artificial Neural Network (ANN) for building the calibration model. DWT stage was optimized regarding the wavelet function and decomposition level, while the ANN stage was optimized on its structure. To simultaneously corroborate the effectiveness of the approach, two different potentiometric sensors were used as study case, one using a glass selective to Cd2+ and another a PVC membrane selective to Pb2+.

KW - Artificial neural networks

KW - Multi-analyte calibration

KW - Potentiometry

KW - SIA

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=71649115519&partnerID=8YFLogxK

U2 - 10.1016/j.talanta.2009.09.048

DO - 10.1016/j.talanta.2009.09.048

M3 - Article

C2 - 20006109

AN - SCOPUS:71649115519

VL - 80

SP - 1428

EP - 1435

JO - Talanta

JF - Talanta

SN - 0039-9140

IS - 3

ER -

ID: 30506376