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  • Self-Heating E-Nose for Rapid Gas Molecule Identification | ACS Sensors Study
    Self-Heating E-Nose for Rapid Gas Molecule Identification | ACS Sensors Study
    Smart E-nose system based on the self-heating temperature modulation. Credit: Li Meng

    A recent study published in ACS Sensors highlights the development of a smart electronic nose (e-nose) by a research team led by Prof. Meng Gang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences.

    The novel e-nose utilizes a self-heating modulation strategy to accurately distinguish different types of target gas molecules within just one second.

    Significant progress has been made in gas molecule detection using e-nose comprised of non-selective semiconductor gas sensors. However, extracting adequate molecular features in a short time (<1 second) remains a major obstacle, which hinders the early warning applications of e-nose for lethal or explosive gases.

    In this study, an innovative approach for temperature control and modulation was developed as an alternative to the conventional method using external heaters. A tungsten trioxide (WO3) nanorod film prepared by oblique angle deposition (OAD) was used as both a sensitive sensing layer and a stable self-heating layer. Due to the ultrafast (~20 μs) thermal relaxation time, the OAD WO3 sensor can generate sufficient electrical response features via self-heating temperature modulation.

    This advancement has led to the accurate discrimination of 12 gas molecules within 0.5–1 seconds, which is one order faster than the state-of-the-art e-noses.

    In addition, a smart wireless e-nose system was developed to enable accurate and instantaneous identification of target gases in ambient air backgrounds.

    This development demonstrates the potential applications of the e-nose in homeland security and public health, according to the team.

    More information: Meng Li et al, Prompt Electronic Discrimination of Gas Molecules by Self-Heating Temperature Modulation, ACS Sensors (2023). DOI: 10.1021/acssensors.3c01839

    Provided by Chinese Academy of Sciences




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