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Proceedings Paper

Nanomolecular gas sensor architectures based on functionalized carbon nanotubes for vapor detection
Author(s): Deon Hines; Henan Zhang; Mark H. Rümmeli; David Adebimpe; Daniel L. Akins
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Paper Abstract

There is enormous interest in detection of simple & complex odors by mean of electronic instrumentation. Specifically, our work focuses on creating derivatized-nanotube-based “electronic noses” for the detection and identification of gases, and other materials. We have grafted single-walled carbon nanotubes (SWNTs) with an array of electron-donating and electron withdrawing moieties and have characterized some of the physicochemical properties of the modified nanotubes. Gas sensing elements have been fabricated by spin coating the functionalized nanotubes onto interdigitated electrodes (IDE’s), creating an array of sensors. Each element in the sensor array can contain a different functionalized matrix. This facilitates the construction of chemical sensor arrays with high selectivity and sensitivity; a methodology that mimics the mammalian olfactory system. Exposure of these coated IDEs to organic vapors and the successful classification of the data obtained under DC monitoring, indicate that the system can function as gas sensors of high repeatability and selectivity for a wide range of common analytes. Since the detection of explosive materials is also of concern in this research, our next phase focuses on explosives such as, TNT, RDX, and Triacetone Triperoxide (TATP). Sensor data from individual detection are assessed on their own individual merits, after which they are amalgamated and reclassified to present each vapor as unique data point on a 2-dimensional map and with minimum loss of information. This approach can assist the nation's need for a technology to defeat IEDs through the use of methods that detect unique chemical signatures associated with explosive molecules and byproducts.

Paper Details

Date Published: 13 May 2015
PDF: 9 pages
Proc. SPIE 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II, 948112 (13 May 2015); doi: 10.1117/12.2177204
Show Author Affiliations
Deon Hines, The City College of New York (United States)
Henan Zhang, The City College of New York (United States)
Mark H. Rümmeli, Institute for Basic Science (Korea, Republic of)
David Adebimpe, Polymath Interscience, LLC (United States)
Daniel L. Akins, The City College of New York (United States)

Published in SPIE Proceedings Vol. 9481:
Image Sensing Technologies: Materials, Devices, Systems, and Applications II
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

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