Terahertz volatile gas sensing and sensitivity analysis based on microporous polymer structures

Borwen You, Ja-Yu Lu, Toshiaki Hattori

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

Abstract

Microporous polymer structures (MPSs) based on multi-layered plastic meshes are experimentally approved for label-free volatile gas sensing with high sensitivity and reasonable selectivity in terahertz frequency region. Various MPS gas sensors with different micropore sizes and stacking configurations are prepared for investigation of the geometry dependent sensitivity. Identification of different volatile vapors and 1 ppm-level sensitivity for acetone vapor detection have been approached using the terahertz MPS sensor. With the optimal sensitivity, various concentrations of toxic methanol adulterated in alcoholic aqueous solutions are also successfully identified in their vapor phase. The MPS sensor is a compact, inexpensive, low loss, and highly sensitive terahertz sensing platform for industrial, biomedical, and environmental gas detections.

Original languageEnglish
Title of host publication2017 42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781509060481
DOIs
Publication statusPublished - 2017 Oct 12
Event42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017 - Cancun, Quintana Roo, Mexico
Duration: 2017 Aug 272017 Sep 1

Other

Other42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017
CountryMexico
CityCancun, Quintana Roo
Period17-08-2717-09-01

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All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

You, B., Lu, J-Y., & Hattori, T. (2017). Terahertz volatile gas sensing and sensitivity analysis based on microporous polymer structures. In 2017 42nd International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2017 [8067000] IEEE Computer Society. https://doi.org/10.1109/IRMMW-THz.2017.8067000