77
Views
0
CrossRef citations to date
0
Altmetric
Articles

Novel SnO2@open microcell-liked graphene network as efficient detection for NO2

, , &
Pages 111-120 | Received 27 Sep 2018, Accepted 05 Feb 2019, Published online: 19 Jul 2019
 

Abstract

The design of reduced graphene oxide (RGO) with novel porous structure has attracted tremendous attention owing to their larger specific surface area. Herein, three-dimensional open microcells, bowl-shaped RGO were fabricated through spray drying method which employed polystyrene spheres as a sacrificial template. The bowl-shaped, open microcell-liked pores observed in the RGO network had an average diameter of ≈1 μm. Subsequently, the catalytic SnO2 nanoparticles were loaded on RGO network via a simple solvothermal method (SnO2@RGO), and their gas sensing properties were investigated at room temperature (RT). In a comparison with pristine RGO network, the SnO2@RGO composite exhibited almost 4 times higher response to 400 ppm NO2 at RT and rapid recovery time. The extraordinary sensing performance can be attributed to the novel open microcell-liked porous microstructure with the SnO2 catalyst nanoparticles.

Additional information

Funding

This work was partially supported by Heilongjiang Province Science Foundation (UNPYSCT-2016180), and the Natural Science Foundation of China (NO. 61403110) and Harbin Special Fund for Innovation Talents of Science and Technology (RC2017QN017004).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 2,157.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.