Exploiting the mixed conduction of a doped conjugated polyelectrolyte on an electronic nose circuit board

Abstract Machine olfaction is still not embedded in portable devices. Relationships between electronic materials and chemical environments are hard to decipher to build phenomenologic models that formalize smells’ and odors’ subjectivity. Also, machine olfaction requires norms to generate large datasets: a generic technology, easy to manufacture and integrable to the broadest range of electronic devices must be identified. To this aim, this study reports on relevant materials to be processed on cost-effective electronic noses. Using a single water-soluble conducting polymer but sensitized with various p-dopants deposited directly on the circuit board, solvent vapors are successfully recognized on a USB-powered small-sized prototype. The chosen doped polymers are easy and safe to process, particularly sensitive to water, but successfully discriminate moist from acetone and ethanol vapors. Diversifying the nature of the doping metal salts increases the prototype receptive field and allows better identification of the nature of volatile chemical compounds. This study contributes to identifying relevant materials to be processed in an easy way on electronic circuits to implement machine olfaction in portable IoT systems, by the use of various mildly doped conducting polymers. By its statistical approach, this study also raises several hypotheses on the physical origin of the sensitivity of a specific class of polymer which transports both electrons and ions. The development of such cost-effective platform allows effectively to compare the performances of multiple materials in a reproducible and systematical way, to ease multi-material performance screening supported by multivariate data analysis.

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Publication Details

Journal
Discover Electronics
Published
2026-07-26
DOI
https://doi.org/10.1007/s44291-026-00255-2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploiting the mixed conduction of a doped conjugated polyelectrolyte on an electronic nose circuit board

B. Hafsi, Marie Delarue, Antoine Baron, Sébastien Pecqueur et al.
Discover Electronics
Advanced Chemical Sensor Technologies
article

Exploiting the mixed conduction of a doped conjugated polyelectrolyte on an electronic nose circuit board

B. Hafsi, Marie Delarue, Antoine Baron, Sébastien Pecqueur, Sandra Kenne Koudjou, Aymar Kingoum Taka
article en

Abstract

Abstract Machine olfaction is still not embedded in portable devices. Relationships between electronic materials and chemical environments are hard to decipher to build phenomenologic models that formalize smells’ and odors’ subjectivity. Also, machine olfaction requires norms to generate large datasets: a generic technology, easy to manufacture and integrable to the broadest range of electronic devices must be identified. To this aim, this study reports on relevant materials to be processed on cost-effective electronic noses. Using a single water-soluble conducting polymer but sensitized with various p-dopants deposited directly on the circuit board, solvent vapors are successfully recognized on a USB-powered small-sized prototype. The chosen doped polymers are easy and safe to process, particularly sensitive to water, but successfully discriminate moist from acetone and ethanol vapors. Diversifying the nature of the doping metal salts increases the prototype receptive field and allows better identification of the nature of volatile chemical compounds. This study contributes to identifying relevant materials to be processed in an easy way on electronic circuits to implement machine olfaction in portable IoT systems, by the use of various mildly doped conducting polymers. By its statistical approach, this study also raises several hypotheses on the physical origin of the sensitivity of a specific class of polymer which transports both electrons and ions. The development of such cost-effective platform allows effectively to compare the performances of multiple materials in a reproducible and systematical way, to ease multi-material performance screening supported by multivariate data analysis.

Discover ElectronicsVol. 3(1)
Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Institut Catholique d'Arts et Métiers (FR), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), Université Polytechnique Hauts-de-France (FR)
Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Région Hauts-de-France
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Advanced Chemical Sensor Technologies
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