Issue 10, 2018

Rational design of 3D inverse opal heterogeneous composite microspheres as excellent visible-light-induced NO2 sensors at room temperature

Abstract

The lower gas sensitivity, humidity dependence of the gas sensing properties, and long recovery times of room-temperature gas sensors severely limit their applications. Herein, to address these issues, a series of 3D inverse opal (IO) In2O3–ZnO heterogeneous composite microspheres (HCMs) are fabricated by ultrasonic spray pyrolysis (USP) employing self-assembled sulfonated polystyrene (S-PS) spheres as a sacrificial template. The 3D IO In2O3–ZnO HCMs possess highly ordered 3D inverse opal structures and bimodal (meso-scale and macro-scale) pores, which can provide large accessible surface areas and rapid mass transfer, resulting in enhanced gas sensing characteristics. Furthermore, the 3D IO architecture and n–n heterojunctions can extend the photoabsorption range to the visible light area, effectively prolonging the lifetimes of photo-generated charge carriers, and can increase separation of visible light-generated charges. As a result, the as-prepared 3D IO In2O3–ZnO HCMs deliver excellent NO2 sensing performance under visible light irradiation at room temperature, such as high sensitivity (Rgas/Rair = 54.3 to 5 ppm NO2), low detection limit (250 ppb), fast recovery time (188 s), excellent selectivity and humidity independence. These enhanced photo-electronic gas sensing properties are attributed to the combination of highly ordered 3D IO microspheres and In2O3–ZnO heterogeneous composites.

Graphical abstract: Rational design of 3D inverse opal heterogeneous composite microspheres as excellent visible-light-induced NO2 sensors at room temperature

Supplementary files

Article information

Article type
Paper
Submitted
10 Nov 2017
Accepted
08 Feb 2018
First published
09 Feb 2018

Nanoscale, 2018,10, 4841-4851

Rational design of 3D inverse opal heterogeneous composite microspheres as excellent visible-light-induced NO2 sensors at room temperature

T. Wang, Q. Yu, S. Zhang, X. Kou, P. Sun and G. Lu, Nanoscale, 2018, 10, 4841 DOI: 10.1039/C7NR08366A

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