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Prompt Electronic Discrimination of Gas Molecules by Self-Heating Temperature Modulation.

Meng LiChanunthorn ChananonnawathornNing PanSaksorn LimwicheanZanhong DengMati HorprathumJunqing ChangShimao WangHideki NakajimaAnnop KlamchuenLiang LiGang Meng
Published in: ACS sensors (2023)
Though considerable progress has been achieved on gas molecule recognition by electronic nose (e-nose) comprised of nonselective (metal oxide) semiconductor chemiresistors, extracting adequate molecular features within short time (<1 s) remains a big obstacle, which hinders the emerging e-nose applications in lethal or explosive gas warning. Herein, by virtue of the ultrafast (∼20 μs) thermal relaxation time of self-heated WO 3 -based chemiresistors fabricated via oblique angle deposition, instead of external heating, self-heating temperature modulation has been proposed to generate sufficient electrical response features. Accurate discrimination of 12 gases (including 3 xylene isomers with the same function group and molecular weight) has been readily achieved within 0.5-1 s, which is one order faster than the state-of-the-art e-noses. A smart wireless e-nose, capable of instantaneously discriminating target gas in ambient air background, has been developed, paving the way for the practical applications of e-nose in the area of homeland security and public health.
Keyphrases
  • room temperature
  • public health
  • carbon dioxide
  • air pollution
  • big data
  • particulate matter
  • ionic liquid
  • machine learning