Field-effect transistor array modified by a stationary phase to generate informative signal patterns for machine learning-assisted recognition of gas-phase chemicals

Toshihiro Yoshizumi, Tatsuro Goda, Rui Yatabe, Akio Oki, Akira Matsumoto, Hiroaki Oka, Takashi Washio, Kiyoshi Toko, Yuji Miyahara

Research output: Contribution to journalArticlepeer-review

Abstract

We propose an artificial intelligence-based chemical-sensing system integrating a porous gate field-effect transistor (PGFET) array modified by gas chromatography stationary phase materials and machine-learning techniques. The chemically sensitive PGFET array generates cross-reactive signals for computational analysis and shows potential for applications to compact intelligent sensing devices, including mobile electronic noses.

Original languageEnglish
Pages (from-to)386-389
Number of pages4
JournalMolecular Systems Design and Engineering
Volume4
Issue number2
DOIs
Publication statusPublished - Apr 2019

All Science Journal Classification (ASJC) codes

  • Chemistry (miscellaneous)
  • Chemical Engineering (miscellaneous)
  • Biomedical Engineering
  • Energy Engineering and Power Technology
  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Field-effect transistor array modified by a stationary phase to generate informative signal patterns for machine learning-assisted recognition of gas-phase chemicals'. Together they form a unique fingerprint.

Cite this