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Novel Approaches towards Highly Selective Self-Powered Gas Sensors

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10.1016/j.proeng.2015.08.752
 
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Hoffmann, M.W.G.
Casals, O.
Gad, A.E.
Mayrhofer, L.
Fàbrega, C.
Caccamo, L.
Hernandez-Ramirez, F.
Lilienkamp, G.
Daum, W.
Moseler, M.
Shen, H.
Waag, A.
Prades, J.D.
Document typeArticle
Defense date2015
PublisherElsevier Ltd
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectBETTERSENSE - Nanodevice Engineering for a Better Chemical Gas Sensing Technology (EC-FP7-336917)
Abstract
The prevailing design approaches of semiconductor gas sensors struggle to overcome most of their current limitations such as poor selectivity, and high power consumption. Herein, a new sensing concept based on devices that are capable of detecting gases without the need of any external power sources required to activate interaction of gases with sensor or to generate the sensor read out signal. Based on the integration of complementary functionalities (namely; powering and sensing) in a singular nanostructure, self-sustained gas sensors will be demonstrated. Moreover, a rational methodology to design organic surface functionalization that provide high selectivity towards single gas species will also be discussed. Specifically, theoretical results, confirmed experimentally, indicate that precisely tuning of the sterical and electronic structure of sensor material/organic interfaces can lead to unprecedented selectivity values, comparable to those typical of bioselective processes. Finally, an integrated gas sensor that combine both the self-powering and selective detection strategies in one single device will also be presented. © 2015 Published by Elsevier Ltd.
CitationHoffmann, M.W.G. [et al.]. Novel Approaches towards Highly Selective Self-Powered Gas Sensors. "Procedia Engineering", 2015, vol. 120, p. 623-627. 
URIhttp://hdl.handle.net/2117/102727
DOI10.1016/j.proeng.2015.08.752
ISSN18777058
Publisher versionhttp://ac.els-cdn.com/S1877705815024157/1-s2.0-S1877705815024157-main.pdf?_tid=153d5ad4-0e23-11e7-b7cc-00000aacb361&acdnat=1490093130_a7f60107c2cc4d9d5a019edd03ea76cf
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