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Exclusive detection of volatile aromatic hydrocarbons using bilayer oxide chemiresistors with catalytic overlayers.
Jeong, Seong-Yong; Moon, Young Kook; Wang, Joseph; Lee, Jong-Heun.
Afiliación
  • Jeong SY; Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea. jeong7460@korea.ac.kr.
  • Moon YK; Department of Nanoengineering, University of California, San Diego, La Jolla, CA, 92093, USA. jeong7460@korea.ac.kr.
  • Wang J; Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea.
  • Lee JH; Department of Nanoengineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Nat Commun ; 14(1): 233, 2023 Jan 25.
Article en En | MEDLINE | ID: mdl-36697397
ABSTRACT
The accurate detection and identification of volatile aromatic hydrocarbons, which are highly toxic pollutants, are essential for assessing indoor and outdoor air qualities and protecting humans from their sources. However, real-time and on-site monitoring of aromatic hydrocarbons has been limited by insufficient sensor selectivity. Addressing the issue, bilayer oxide chemiresistors are developed using Rh-SnO2 gas-sensing films and catalytic CeO2 overlayers for rapidly and cost-effectively detecting traces of aromatic hydrocarbons in a highly discriminative and quantitative manner, even in gas mixtures. The sensing mechanism underlying the exceptional performance of bilayer sensor is systematically elucidated in relation to oxidative filtering of interferants by the CeO2 overlayer. Moreover, CeO2-induced selective detection is validated using SnO2, Pt-SnO2, Au-SnO2, In2O3, Rh-In2O3, Au-In2O3, WO3, and ZnO sensors. Furthermore, sensor arrays are employed to enable pattern recognition capable of discriminating between aromatic gases and non-aromatic interferants and quantifying volatile aromatic hydrocarbon classifications.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article