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

Yu E. Ermolenko, T. Yoshinobu, Yu G. Mourzina, Yu G. Vlasov, M. J. Schöning, H. Iwasaki

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)457-462
Number of pages6
JournalSensors and Actuators, B: Chemical
Volume103
Issue number1-2
DOIs
Publication statusPublished - 2004 Sep 29

Keywords

  • Artificial neural network (ANN)
  • Laser-scanned silicon transducer (LSST)
  • Multi-sectional membrane
  • Multicomponent analysis
  • Multisensor system
  • Selectivity

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Laser-scanned silicon transducer (LSST) as a multisensor system'. Together they form a unique fingerprint.

Cite this