Electronic noses based on metal oxide nanowires: A review
Abstract: Metal oxides are ideal for the fabrication of gas sensors: they are sensitive to many gases while allowing the device to be simple, tiny, and inexpensive. Nonetheless, their lack of selectivity remains a limitation. In order to achieve good selectivity in applications with many possible interfering gases, the sensors are inserted into an electronic nose that combines the signals from nonselective sensors and analyzes them with multivariate statistical algorithms in order to obtain selectivity. This review analyzes the scientific articles published in the last decade regarding electronic noses based on metal oxide nanowires. After a general introduction, Section 2 discusses the issues related to poor intrinsic selectivity. Section 3 briefly reviews the main algorithms that have hitherto been used and the results they can provide. Section 4 classifies the recent literature into fundamental research, agrifood, health, security. In Section 5, the literature is analyzed regarding the metal oxides, the surface decoration nanoparticles, the features that differentiate the sensors in a given array, the application for which the device was developed, the algorithm used, and the type of information obtained. Section 6 concludes by discussing the present state and points out the requirements for their use in real-world applications.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Electronic noses based on metal oxide nanowires: A review ; volume:11 ; number:1 ; year:2022 ; pages:897-925 ; extent:29
Nanotechnology reviews ; 11, Heft 1 (2022), 897-925 (gesamt 29)
- Urheber
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Tonezzer, Matteo
Thi Thanh Le, Dang
Van Duy, Lai
Hoa, Nguyen Duc
Gasperi, Flavia
Van Duy, Nguyen
Biasioli, Franco
- DOI
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10.1515/ntrev-2022-0056
- URN
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urn:nbn:de:101:1-2022071514351241816929
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:37 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Tonezzer, Matteo
- Thi Thanh Le, Dang
- Van Duy, Lai
- Hoa, Nguyen Duc
- Gasperi, Flavia
- Van Duy, Nguyen
- Biasioli, Franco
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