Novel approaches towards highly selective self-powered gas sensors

Autor: Andreas Waag, Leonhard Mayrhofer, Lorenzo Caccamo, Francisco Hernandez-Ramirez, Michael Moseler, Cristian Fàbrega, Winfried Daum, Martin W. G. Hoffmann, Hao Shen, G. Lilienkamp, Olga Casals, Alaaeldin Gad, Joan Daniel Prades
Přispěvatelé: Institut de Recerca en Energía de Catalunya, Publica
Předmět:
Zdroj: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Dipòsit Digital de la UB
Universidad de Barcelona
Popis: 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.
Databáze: OpenAIRE