Multi-layer Filter Structure for Molecular Selective SERS Gas Sensor

Lin Chen, Bin Chen, Fumihiro Sassa, Kenshi Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mixture of gas molecules must be accurately detected for gas sensor. However, there are certain difficulties in identifying the type of gas and detecting its concentration by chemical sensors. SERS (Surface Enhanced Raman Scattering) is a promising method for high sensitive gas detection because of its ability of molecule discrimination. However, it is difficult for SERS sensor to identify gases with the similar structure. In this research, we have developed a more selective SERS sensor with molecular filter layers. Molecular filter property is studied by coating a filter polymer film on the SERS substrate. The characteristics of the sensor with two membrane structures were also studied and different filtering properties were obtained.

Original languageEnglish
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116341
DOIs
Publication statusPublished - Oct 2019
Event18th IEEE Sensors, SENSORS 2019 - Montreal, Canada
Duration: Oct 27 2019Oct 30 2019

Publication series

NameProceedings of IEEE Sensors
Volume2019-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference18th IEEE Sensors, SENSORS 2019
CountryCanada
CityMontreal
Period10/27/1910/30/19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Multi-layer Filter Structure for Molecular Selective SERS Gas Sensor'. Together they form a unique fingerprint.

  • Cite this

    Chen, L., Chen, B., Sassa, F., & Hayashi, K. (2019). Multi-layer Filter Structure for Molecular Selective SERS Gas Sensor. In 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings [8956884] (Proceedings of IEEE Sensors; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SENSORS43011.2019.8956884