ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Honeycomb type ZnO nanostructures for sensitive and selective CO detection

Prajapati, C S and Visser, Dennis and Anand, Srinivasan and Bhat, Navakanta (2017) Honeycomb type ZnO nanostructures for sensitive and selective CO detection. In: SENSORS AND ACTUATORS B-CHEMICAL, 252 . pp. 764-772.

[img] PDF
Sen_Act_Che_252_764_2017.pdf - Published Version
Restricted to Registered users only

Download (3MB) | Request a copy
Official URL: http://doi.org/10.1016/j.snb.2017.06.070

Abstract

Excellent sensing performance for CO gas is demonstrated using inexpensive sensor devices based on honeycomb type ZnO nanostructures, fabricated by colloidal lithography and lift-off process. This newly proposed method for gas sensors is cost effective and provides significant enhancement of both sensitivity and selectivity of CO detection. Honeycomb type ZnO nano films developed in similar to 21 nm ZnO layer consisting of 1 mu m period hexagonal lattice of air-holes with diameter varying from similar to 600-900 nm are investigated for CO sensing. These structures are fabricated by a combination of self-assembly of polystyrene (PS) spheres, their size reduction by oxygen plasma and magnetron-sputtering of ZnO followed by PS mask removal. The hole diameter and hence the width of ZnO honeycomb walls are determined by size reduction of PS spheres. Fabricated ZnO honeycomb type sensors show superior sensing performance compared to planar ZnO films, and response as high as similar to 81.2% at 300 degrees C for a 3 ppm CO with a detection resolution of 500 ppb and response and recovery times of similar to 180 and similar to 210 s, respectively, were obtained. The repeatability of the observed results is confirmed and in addition, the CO selectivity is shown for gas mixtures consisting of CH4, H2S, CO2, NO2, SO2 and H-2. The developed nanostructuring method is generic and can be adapted for improving performance of other metal-oxide based gas sensors. (C) 2017 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the ELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE, SWITZERLAND
Department/Centre: ?? OS-CNSE ??
Depositing User: Id for Latest eprints
Date Deposited: 23 Sep 2017 05:14
Last Modified: 23 Sep 2017 05:14
URI: http://eprints.iisc.ac.in/id/eprint/57843

Actions (login required)

View Item View Item