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Two-Dimensional (PEA)2PbBr4 Perovskites Sensors for Highly Sensitive Ethanol Vapor Detection.
Tien, Ching-Ho; Lee, Kuan-Lin; Tao, Chun-Cheng; Lin, Zhan-Qi; Lin, Zi-Hao; Chen, Lung-Chien.
Afiliação
  • Tien CH; Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan 33306, Taiwan.
  • Lee KL; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Tao CC; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Lin ZQ; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Lin ZH; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
  • Chen LC; Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Sensors (Basel) ; 22(21)2022 Oct 25.
Article em En | MEDLINE | ID: mdl-36365851
ABSTRACT
Two-dimensional (2D) perovskite have been widely researched for solar cells, light-emitting diodes, photodetectors because of their excellent environmental stability and optoelectronic properties in comparison to three-dimensional (3D) perovskite. In this study, we demonstrate the high response of 2D-(PEA)2PbBr4 perovskite of the horizontal vapor sensor was outstandingly more superior than 3D-MAPbBr3 perovskite. 2D transverse perovskite layer have the large surface-to-volume ratio and reactive surface, with the charge transfer mechanism, which was suitable for vapor sensing and trapping. Thus, 2D perovskite vapor sensors demonstrate the champion current response ratio R of 107.32 under the ethanol vapors, which was much faster than 3D perovskite (R = 2.92).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan