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Journal of Materials Science: Materials in Electronics
Erschienen in: Journal of Materials Science: Materials in Electronics 13/2019

28.05.2019

Reduced graphene oxide-SnO2 nanosheets hybrid nanocomposite for improvement of formaldehyde sensing properties

verfasst von: Qi Wei, Shengkai Liu, Peng Song, Zhongxi Yang, Qi Wang

Erschienen in: Journal of Materials Science: Materials in Electronics | Ausgabe 13/2019

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Abstract

Two-dimensional (2D) nanomaterials and their composites have become a popular area among researchers owing to their superior properties which can be attributed to the planar structure. In this work, we used a hydrothermal method to generate ultrathin SnO2 nanosheets with thickness of ~ 5 nm on the reduced graphene oxide (rGO) layer to construct sheet-on-sheet heterostructured architectures. The sensor response of rGO/SnO2 nanosheets composites is 11.9 to 100 ppm formaldehyde at the optimal operating temperature of 220 °C. Besides of the superior sensor response at lower working temperature, the rGO/SnO2 nanosheets composites sensor exhibited good selectivity and fast response/recover performance. These strengths revealed the promising applications of the rGO/SnO2 nanosheets composites in practical detection. The present work definitely reveals the advantages of rGO/SnO2 nanosheets composites featured with a sheet-on-sheet architecture between two different nanosheets in gas sensing applications.
Vorheriger Artikel Structural and electrical properties of BCZT ceramics synthesized by sol–gel-hydrothermal process at low temperature
Nächster Artikel The effect of deposition time on the structural, morphological and H2S gas sensing properties of the V2O5 nanostructures deposited by hydrothermal method

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Metadaten
Titel
Reduced graphene oxide-SnO2 nanosheets hybrid nanocomposite for improvement of formaldehyde sensing properties
verfasst von
Qi Wei
Shengkai Liu
Peng Song
Zhongxi Yang
Qi Wang
Publikationsdatum
28.05.2019
Verlag
Springer US
Erschienen in
Journal of Materials Science: Materials in Electronics / Ausgabe 13/2019
Print ISSN: 0957-4522
Elektronische ISSN: 1573-482X
DOI
https://doi.org/10.1007/s10854-019-01579-4

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