Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractSulfur-containing Compounds in Lemna perpusilla 6746 Grown at a Range of Sulfate Concentrations    Next AbstractQuantification of natural gas and other hydrocarbons from production sites in northern West Virginia using tracer flux ratio methodology »

Nanoscale


Title:Tin oxide nanowire sensor with integrated temperature and gate control for multi-gas recognition
Author(s):Dattoli EN; Davydov AV; Benkstein KD;
Address:"Material Measurement Laboratory, National Institute of Standards and Technology (NIST), 100 Bureau Drive, MS 8362, Gaithersburg, MD 20899-8362, USA. edattoli1@gmail.com"
Journal Title:Nanoscale
Year:2012
Volume:20120202
Issue:5
Page Number:1760 - 1769
DOI: 10.1039/c2nr11885h
ISSN/ISBN:2040-3372 (Electronic) 2040-3364 (Linking)
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 mumol/mol to 80 mumol/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"
Keywords:Discriminant Analysis Gases/*analysis Nanowires/*chemistry Temperature Tin Compounds/*chemistry Volatile Organic Compounds/analysis;
Notes:"MedlineDattoli, Eric N Davydov, Albert V Benkstein, Kurt D eng Research Support, U.S. Gov't, Non-P.H.S. England 2012/02/03 Nanoscale. 2012 Mar 7; 4(5):1760-9. doi: 10.1039/c2nr11885h. Epub 2012 Feb 2"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 16-11-2024