journal article·2024-08-06

Synergistic Enhancement on the Sensing Performance of Mixed Potential NH3 Sensors by Fe and Mo Codoping into BiVO4

Lin Yang, Yiran Zhang, Haonan Zheng, Chunping Wu, Junfang Wang, Ting Chen, He Lin

Langmuir· Volume 40· Issue 31
Publisher page

Abstract

Mixed potential ammonia (NH 3 ) sensors with the Fe- and Mo-codoped BiVO 4 sensing electrode and Ag reference electrode based on the yttria-stabilized zirconia solid electrolyte were developed. Fe- and Mo-doped BiVO 4 sensing materials were prepared using solution combustion synthesis and then characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS). It was observed that Fe doping could greatly improve the response rate, while Mo doping could enhance the response signal (Δ U ) and sensitivity. Based on the optimal doping ratio of Fe and Mo each, the synergistic enhancement of the performance by Fe and Mo codoping was investigated. The sensor coated by BiV 0.75 Fe 0.2 Mo 0.05 O δ materials exhibited a prominent sensing performance to a low concentration of 10–50 ppm of NH 3 at 525 °C with the outstanding sensitivity of −148.988 mV/decade. Fe and Mo doping also improved the selectivity of the sensor to NH 3, with the relative deviations less than ±8% of other typical gases’ interference including NO, NO 2, CO, CO 2, and CH 4 . Besides, the sensor showed good resistance to fluctuations in the oxygen concentration and favorable stability against changes in the water vapor concentration. In addition, the sensor also exhibited good long-term stability. The mixed potential response mechanism was further discussed and analyzed through polarization curves as well as through gas chromatography and infrared absorption spectroscopy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Chemical Sensor Technologies · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory for Power Machinery and Engineering of the Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China

Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai Jiao Tong University, Shanghai 200240, China

State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

Funding

National Natural Science Foundation of China · Fundamental Research Funds for the Central Public-interest Scientific Institution · State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences

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