JOURNAL ARTICLE

Fe-Doped CuGaO₂ Nanoparticles-Based Gas Sensor for Sub-ppm Triethylamine Detection

Hai LiuYu ZongXuyang LiLunchao ZhongWenhuan Zhu

Year: 2024 Journal:   IEEE Sensors Journal Vol: 24 (10)Pages: 15819-15826   Publisher: IEEE Sensors Council

Abstract

Metal oxide semiconductor, an important type of electronic material with the chemiresistive effect, plays the crucial role in the gas sensing application, especially the trace detection of compounds related to the human health issue. Herein, a new gas sensor is proposed on the basis of the Fe doped p-type delafossite CuGaO 2 nanoparticles, which provides an improved selectivity to common organic gases, and response (4 to 10 ppm triethylamine) at low operation temperature of 160°C with short response/recovery time (15 s/120 s) and long-term stability (fluctuation ~5%) in trace detection down to sub-ppm level (38 ppb). Based on the microstructural characterization and gas detection test results, the first principles calculations based on density function theory have been performed to reveal the gas sensing mechanism. The calculated adsorption energy and Bader charge has a counterpart in the response order to the target gases, which confirms that the chemiresistive signal is generated by the direct adsorption followed by the charge transfer. Furthermore, the charge distribution analysis confirms that Fe dopant has a synergistic effect with Cu adatom in both adsorption and electron transfer procedures, in addition to the elevation of intrinsic conductivity of the CuGaO 2 substrate. It is a new aspect to investigate the functional metal oxide semiconductor based chemiresistive gas sensors, which provides an approach to develop the hybrid material system towards the target gas component.

Keywords:
Doping Triethylamine Adsorption Nanoparticle Dopant Delafossite Materials science Density functional theory Analytical Chemistry (journal) Chemistry Nanotechnology Oxide Physical chemistry Computational chemistry Optoelectronics Organic chemistry

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4
Cited By
1.48
FWCI (Field Weighted Citation Impact)
56
Refs
0.75
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Gas Sensing Nanomaterials and Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
ZnO doping and properties
Physical Sciences →  Materials Science →  Materials Chemistry
Copper-based nanomaterials and applications
Physical Sciences →  Materials Science →  Materials Chemistry
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