Quantum of selectivity testing: detection of isomers and close homologs using an AZO based e-nose without a prior training
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2022-04-12
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Language
en
Pages
11
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Journal of Materials Chemistry. A, Volume 10, issue 15, pp. 8413-8423
Abstract
Tracing the chemical composition of the surrounding environment appeals to the design of highly sensitive and selective gas sensors. Primarily driven by IoT, miniaturized multisensor systems, like e-noses, are considered to address both selectivity and sensitivity issues. Although e-noses might enable discrimination between close homologs and isomers, they are required to be "trained", i.e. to project analyte-related signals into artificial space, prior to their in-field applications. In this study, using the programmed co-precipitation method, we synthesized aluminum-doped zinc oxide (AZO) and employed it as a sensing material in an e-nose to examine the sensing performance towards close C1-C5 alcohol homologs and isomers, e.g. 1-propanol and 2-propanol, 1-butanol and isobutanol in the frame of the multisensor paradigm. For the first time, we demonstrated selective recognition of the alcohol vapors without prior training of the e-nose. This was realized by matching projections of the known analytes' "fingerprints", used to build a chemical space, with the projections of analyte-related signals acquired using the e-nose in artificial space under machine learning algorithms. Moreover, the AZO based e-nose demonstrates a remarkable, up to 0.87, chemoresistive response to alcohol vapors, 0.9 ppm, in the mixture with air at 300 degrees C with a detection limit down to sub-ppb level. This opens a new avenue for the development of self-learning gas analytical systems, which might recognize new analytes whose profiles are not yet stored in their library.Description
Keywords
DOPED ZNO, SENSING PROPERTIES, ELECTRONIC NOSE, THIN-FILMS, GRAIN-SIZE, GAS SENSOR, DISCRIMINATION, TEMPERATURE, QUANTIFICATION, SENSITIVITY
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Citation
Goikhman, B, Fedorov, F S, Simonenko, N P, Simonenko, T L, Fisenko, N A, Dubinina, T S, Ovchinnikov, G, Lantsberg, A, Lipatov, A, Simonenko, E P & Nasibulin, A G 2022, ' Quantum of selectivity testing: detection of isomers and close homologs using an AZO based e-nose without a prior training ', Journal of Materials Chemistry. A, vol. 10, no. 15, pp. 8413-8423 . https://doi.org/10.1039/d1ta10589b