4.7 Article

Gas sensing enhancing mechanism via doping-induced oxygen vacancies for gas sensors based on indium tin oxide nanotubes

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 265, Issue -, Pages 273-284

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2018.03.008

Keywords

Indium tin oxide; Nanotubes; Formaldehyde; Oxygen vacancies; Electrospinning

Funding

  1. National Natural Science Foundation of China [11474135, 51572118, 11674140]
  2. Jiangsu Specially-Appointed Professor program [54935012]

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It's demonstrated that the defects induced by doping can greatly influence the sensing properties of oxide based gas sensors. In this work, the authors have designed indium tin oxide nanotubes (ITO NTs) with different Sn doping concentrations. Results showed that the walls of ITO NTs are comprised of the formed ITO and redundant In2O3 nanoparticles (NPs) at low doping concentration, and the doping-induced oxygen vacancies ((VoS)-S-center dot center dot) can be tuned by Sn concentrations. Series of sensing tests to formaldehyde gas indicated that the ITO-7 NTs show the lowest working temperature (160 degrees C) and the highest specific response. Here, It is noted that to eliminate the influence of the coating amount of sensing performances, a concept of specific response was proposed i.e., R-air/(m-R-gas), where R-air and R-gas respectively stand for the resistances of gas sensors in the reference gas (in air this case) and in the test gas ambience, and m stands for the mass of the coated sensing materials. The decreased working temperature could be attributed to the formed In2O3 NPs/ITO tubular structure, and the enhanced specific response might be mainly associated with the (VoS)-S-center dot center dot. Furthermore, a possible gas sensing enhancing mechanism via (VoS)-S-center dot center dot for ITO-based gas sensors was proposed based on our results and analysis. This research would give some instructive advice to design high-performances oxide-based gas sensors via tuning the (VoS)-S-center dot center dot. (C) 2018 Elsevier B.V. All rights reserved.

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