Literature DB >> 35349276

Understanding the Increasing Trend of Sensor Signal with Decreasing Oxygen Partial Pressure by a Sensing-Reaction Model Based on O2- Species.

Liupeng Zhao1, Xueqin Gong1, Wei Tao1, Tianshuang Wang1, Peng Sun1, Fangmeng Liu1, Xishuang Liang1, Fengmin Liu1, Yanchao Wang2, Geyu Lu1.   

Abstract

Although the increasing trend of sensor signal with decreasing oxygen partial pressure was observed quite early, the underlying mechanism is still elusive, which is a hindrance to accurate gas detection under varying oxygen partial pressure. In this work, a sensing model based on previous experimental and theoretical results is proposed, in which the O2- species is determined to be the main oxygen species because O- species has not been observed by direct spectroscopic studies. On this basis, combined with the band bending of SnO2 at different oxygen partial pressures, the functional relationship between the surface electron concentration, oxygen partial pressure, and reducing gas concentration is established, which includes three forms corresponding to the depletion layer, accumulation layer, and flat band. In the depletion layer case, the variation of the sensor resistance to different concentrations of CO and oxygen can be well fitted with our function model. Besides, this model predicts that the response of sensors will no longer maintain the increasing trend in an extremely hypoxic atmosphere but will decrease and approach 1 with the background oxygen content further going down to 0.

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Keywords:  O2− species; SnO2 gas sensor; background oxygen partial pressure; mechanism; sensing model

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Year:  2022        PMID: 35349276     DOI: 10.1021/acssensors.1c02753

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  1 in total

1.  Direct in situ spectroscopic evidence of the crucial role played by surface oxygen vacancies in the O2-sensing mechanism of SnO2.

Authors:  Stefan Kucharski; Pilar Ferrer; Federica Venturini; Georg Held; Alex S Walton; Conor Byrne; James A Covington; Sai Kiran Ayyala; Andrew M Beale; Chris Blackman
Journal:  Chem Sci       Date:  2022-05-05       Impact factor: 9.969

  1 in total

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