Issue 5, 2012

Tin oxidenanowire sensor with integrated temperature and gate control for multi-gas recognition

Abstract

The selectivity of a chemiresistive gas sensor comprising an array of single-crystalline tin oxide nanowires (NWs) is shown to be greatly enhanced by combined temperature and gate voltage modulation. This dual modulation was effected by a novel microsensor platform that consisted of a suspended nitride membrane embedded with independently addressable platinum heater and back-gate structures. The sensor was evaluated in a chemical vapor exposure test consisting of three volatile organic compound (VOC) analytes in an air background; VOC concentrations ranged from 20 μmol/mol to 80 μmol/mol. During the exposure test, the temperature and gating conditions of the NW sensor were modulated in order to induce variations in the sensor's analyte response behavior. By treating these temperature- and gate-dependent analyte response variations as an identifying “fingerprint,” analyte identification was achieved using a statistical pattern recognition procedure, linear discriminant analysis (LDA). Through optimization of this pattern recognition procedure, a VOC recognition rate of 98% was obtained. An analysis of the recognition results revealed that this high recognition rate could only be achieved through the combined modulation of temperature and gate bias as compared to either parameter alone. Overall, the highly accurate VOC analyte discrimination that was achieved here confirms the selectivity benefits provided by the utilized dual modulation approach and demonstrates the suitability of miniature nanowire sensors in real-world, multi-chemical detection problems.

Graphical abstract: Tin oxide nanowire sensor with integrated temperature and gate control for multi-gas recognition

Supplementary files

Article information

Article type
Paper
Submitted
30 Nov 2011
Accepted
29 Dec 2011
First published
09 Jan 2012

Nanoscale, 2012,4, 1760-1769

Tin oxide nanowire sensor with integrated temperature and gate control for multi-gas recognition

E. N. Dattoli, A. V. Davydov and K. D. Benkstein, Nanoscale, 2012, 4, 1760 DOI: 10.1039/C2NR11885H

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