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February 12, 2026Modern Physics Letters B0 citations

A Highly Sensitive NO 2 Gas Sensor Based on CeO 2 -doped ZnO Heterojunction Nanofibers

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TVThi-Nhai VuYHYu-Jen HsiaoCHChung-Hao Hsu

Key Points

  • This research aims to develop and optimize a gas sensor using CeO2-doped ZnO for high sensitivity to NO2.
  • Synthesis of CeO2-doped ZnO heterojunction using sol-gel and electrospinning techniques.
  • Characterization of nanofibers' morphology and properties.
  • Performance testing of gas sensor at various NO2 concentrations.
  • 0.6 mol% CeO2-doped ZnO nanofibers showed 158% sensitivity to NO2 at 300 ℃.
  • Compared to pure ZnO, the doped sensor demonstrated better selectivity and repeatability.
  • The sensor maintained an 18% response even at very low NO2 concentrations (0.2 ppm).

Abstract

This experiment demonstrates the efficient synthesis of a CeO 2 -doped ZnO n-type heterojunction structure via sol-gel and electrospinning, resulting in a site-activated morphology with unique characteristics. The successful doping of CeO 2 into the crystal structure of ZnO enhances the sensitivity to the target gas, due to the presence of large amounts of surface oxygen vacancies (V o ). The results showed that the 0.6 mol% CeO 2 -doped ZnO nanofibers (NFs) sample achieved optimal performance, with high response, good repeatability, and excellent selectivity. 0.6 mol% CeO 2 -doped ZnO n-type heterojunction sensor has excellent sensitivity (158%) and selectivity to NO 2 gas than that of the pure ZnO NFs sensor (28%) at 300 ℃ under 1 ppm NO 2 environment. The sensor still responds 18% even at an extremely low concentration of NO 2 gas (0.2 ppm). Furthermore, the results clearly demonstrate that CeO 2 incorporation significantly enhances the sensor’s selectivity toward NO 2 , even in the presence of other interfering gases. The sensor exhibits good selectivity, repeatability, and long-term stability. These remarkable sensing properties indicate that the CeO 2 -doped ZnO n-type heterojunction structure has promising applications in detecting NO 2 from human living environments.

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Cite This Study

Vu et al. (2026) studied this question.

synapsesocial.com/papers/698d6dae5be6419ac0d52cbahttps://doi.org/10.1142/s0217984926400038
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