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Short period sinusoidal thermal modulation for quantitative identification of gas species

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Abstract

The field of chemical (gas) sensing has witnessed an unprecedented increase in device sensitivity with single molecule detection now becoming a reality. In contrast to this, the ability to distinguish or discriminate between gas species has lagged behind. This is problematic and results in a high rate of false alarms. Here, we demonstrate a short period sinusoidal thermal modulation strategy to quantitatively and rapidly identify two industrially relevant gases (hydrogen sulfide (H2S) and sulfur dioxide (SO2)) by using a single semiconducting metal oxide sensor device. By applying sinusoidal heating voltages with a fixed short period, we were able to simultaneously obtain distinct patterns of dynamic responses. These characteristic patterns were adopted to build and validate a gas recognition library. Our approach does not rely on large-scale sensor arrays and complex algorithms and is amenable for real-time and low-power gas monitoring.

Graphical abstract: Short period sinusoidal thermal modulation for quantitative identification of gas species

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Publication details

The article was received on 10 Jul 2019, accepted on 07 Nov 2019 and first published on 12 Nov 2019


Article type: Paper
DOI: 10.1039/C9NR05863J
Nanoscale, 2020, Advance Article

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    Short period sinusoidal thermal modulation for quantitative identification of gas species

    A. Yang, J. Chu, W. Li, D. Wang, X. Yang, T. Lan, X. Wang, M. Rong and N. Koratkar, Nanoscale, 2020, Advance Article , DOI: 10.1039/C9NR05863J

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