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Laser-scanned silicon transducer (LSST) as a multisensor system. / Ermolenko, Yu E.; Yoshinobu, T.; Mourzina, Yu G.; Vlasov, Yu G.; Schöning, M. J.; Iwasaki, H.

In: Sensors and Actuators, B: Chemical, Vol. 103, No. 1-2, 29.09.2004, p. 457-462.

Research output: Contribution to journal › Article › peer-review

Harvard

Ermolenko, YE, Yoshinobu, T, Mourzina, YG, Vlasov, YG, Schöning, MJ & Iwasaki, H 2004, 'Laser-scanned silicon transducer (LSST) as a multisensor system', Sensors and Actuators, B: Chemical, vol. 103, no. 1-2, pp. 457-462. https://doi.org/10.1016/j.snb.2004.05.005

APA

Ermolenko, Y. E., Yoshinobu, T., Mourzina, Y. G., Vlasov, Y. G., Schöning, M. J., & Iwasaki, H. (2004). Laser-scanned silicon transducer (LSST) as a multisensor system. Sensors and Actuators, B: Chemical, 103(1-2), 457-462. https://doi.org/10.1016/j.snb.2004.05.005

Vancouver

Ermolenko YE, Yoshinobu T, Mourzina YG, Vlasov YG, Schöning MJ, Iwasaki H. Laser-scanned silicon transducer (LSST) as a multisensor system. Sensors and Actuators, B: Chemical. 2004 Sep 29;103(1-2):457-462. https://doi.org/10.1016/j.snb.2004.05.005

Author

Ermolenko, Yu E. ; Yoshinobu, T. ; Mourzina, Yu G. ; Vlasov, Yu G. ; Schöning, M. J. ; Iwasaki, H. / Laser-scanned silicon transducer (LSST) as a multisensor system. In: Sensors and Actuators, B: Chemical. 2004 ; Vol. 103, No. 1-2. pp. 457-462.

BibTeX

@article{1b495bb12216453f9fb6fd8c84d4d25b,
title = "Laser-scanned silicon transducer (LSST) as a multisensor system",
abstract = "A multisensor with a four-sectional membrane based on two Li- and two K-ionophores with different selectivities has been developed based on the laser-scanned silicon transducer (LSST), where the responses of the sensor sections have been measured by scanning the potentials at different points on the membrane surface. An artificial neural network (ANN) was employed for the analysis of mixed solutions. It has been demonstrated that by applying this hybrid sensor as a laser-scanned multisensor system, the concentration regions for the simultaneous determination of lithium and potassium ions in complex solutions have been enlarged significantly. It has been shown that using such a kind of multisensor system makes it possible to overcome the restriction of the selectivity in comparison with single sensors.",
keywords = "Artificial neural network (ANN), Laser-scanned silicon transducer (LSST), Multi-sectional membrane, Multicomponent analysis, Multisensor system, Selectivity",
author = "Ermolenko, {Yu E.} and T. Yoshinobu and Mourzina, {Yu G.} and Vlasov, {Yu G.} and Sch{\"o}ning, {M. J.} and H. Iwasaki",
year = "2004",
month = sep,
day = "29",
doi = "10.1016/j.snb.2004.05.005",
language = "English",
volume = "103",
pages = "457--462",
journal = "Sensors and Actuators, B: Chemical",
issn = "0925-4005",
publisher = "Elsevier",
number = "1-2",
note = "17th European Conference on Solid-State Transducers (Eurosensors XVII) ; Conference date: 21-09-2003 Through 24-09-2003",

}

RIS

TY - JOUR

T1 - Laser-scanned silicon transducer (LSST) as a multisensor system

AU - Ermolenko, Yu E.

AU - Yoshinobu, T.

AU - Mourzina, Yu G.

AU - Vlasov, Yu G.

AU - Schöning, M. J.

AU - Iwasaki, H.

PY - 2004/9/29

Y1 - 2004/9/29

N2 - A multisensor with a four-sectional membrane based on two Li- and two K-ionophores with different selectivities has been developed based on the laser-scanned silicon transducer (LSST), where the responses of the sensor sections have been measured by scanning the potentials at different points on the membrane surface. An artificial neural network (ANN) was employed for the analysis of mixed solutions. It has been demonstrated that by applying this hybrid sensor as a laser-scanned multisensor system, the concentration regions for the simultaneous determination of lithium and potassium ions in complex solutions have been enlarged significantly. It has been shown that using such a kind of multisensor system makes it possible to overcome the restriction of the selectivity in comparison with single sensors.

AB - A multisensor with a four-sectional membrane based on two Li- and two K-ionophores with different selectivities has been developed based on the laser-scanned silicon transducer (LSST), where the responses of the sensor sections have been measured by scanning the potentials at different points on the membrane surface. An artificial neural network (ANN) was employed for the analysis of mixed solutions. It has been demonstrated that by applying this hybrid sensor as a laser-scanned multisensor system, the concentration regions for the simultaneous determination of lithium and potassium ions in complex solutions have been enlarged significantly. It has been shown that using such a kind of multisensor system makes it possible to overcome the restriction of the selectivity in comparison with single sensors.

KW - Artificial neural network (ANN)

KW - Laser-scanned silicon transducer (LSST)

KW - Multi-sectional membrane

KW - Multicomponent analysis

KW - Multisensor system

KW - Selectivity

UR - http://www.scopus.com/inward/record.url?scp=14744284161&partnerID=8YFLogxK

U2 - 10.1016/j.snb.2004.05.005

DO - 10.1016/j.snb.2004.05.005

M3 - Article

AN - SCOPUS:14744284161

VL - 103

SP - 457

EP - 462

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

IS - 1-2

T2 - 17th European Conference on Solid-State Transducers (Eurosensors XVII)

Y2 - 21 September 2003 through 24 September 2003

ER -

ID: 61610096