Highly-Selective Optoelectronic Nose Based on Surface Plasmon Resonance Imaging for Sensing Volatile Organic Compounds

Abstract : Monitoring volatile organic compounds (VOCs) is an important issue, but difficult to achieve on a large scale and on the field using conventional analytical methods. Electronic noses (eNs), as promising alternatives, are still compromised by their performances due to the fact that most of them rely on a very limited number of sensors and use databases devoid of kinetic information. To narrow the performance gap between human and electronic noses, we developed a novel optoelectronic nose, which features a large sensor microarray that enables multiplexed monitoring of binding events in real-time with a temporal response. For the first time, surface plasmon resonance imaging is demonstrated as a promising novel analytical tool for VOC detection in the gas phase. By combining it with cross-reactive sensor microarrays, the obtained optoelectronic nose shows a remarkably high selectivity, capable of discriminating between homologous VOCs differing by only a single carbon atom. In addition, the optoelectronic nose has good repeatability and stability. Finally, the preliminary assays using VOC binary and ternary mixtures show that it is also very efficient for the analysis of more complex samples, opening up the exciting perspective of applying it to “real-world” samples in diverse domains.
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https://hal.archives-ouvertes.fr/hal-01925324
Contributor : Arnaud Buhot <>
Submitted on : Friday, November 16, 2018 - 3:49:38 PM
Last modification on : Tuesday, November 5, 2019 - 2:08:09 PM

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Sophie Brenet, Aurelian John-Herpin, François-Xavier Gallat, Benjamin Musnier, Arnaud Buhot, et al.. Highly-Selective Optoelectronic Nose Based on Surface Plasmon Resonance Imaging for Sensing Volatile Organic Compounds. Analytical Chemistry, American Chemical Society, 2018, 90 (16), pp.9879 - 9887. ⟨10.1021/acs.analchem.8b02036⟩. ⟨hal-01925324⟩

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