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<p>The selective detection of ammonia, a hazardous atmospheric pollutant, at room temperature remains a key challenge for high-performance gas sensor development. In this study, three ZnIn<sub>2</sub>S<sub>4</sub> (ZIS)-based metal sulfide heterojunctions including Ag<sub>2</sub>S/ZIS, CuS/ZIS, and NiS/ZIS were synthesized via a cation exchange strategy, where the formation of well-defined heterostructures led to significantly enhanced sensing performance. Among them, the Ag<sub>2</sub>S/ZIS sensor exhibited ultra-high sensitivity, achieving a response of 2.35 to 10&#xa0;ppm ammonia at room temperature. Furthermore, a neural network model was employed to analyze the response curves of the three heterojunctions under varying gas concentrations. The results revealed that all three sensors achieved recognition accuracies exceeding 87.5%, with the Ag<sub>2</sub>S/ZIS heterojunction showing the highest accuracy, highlighting its superior performance compared to the other two sensors.</p> Graphical Abstract <p></p>

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ZnIn2S4/metal sulfide heterostructures for high-performance ammonia sensing at room temperature

  • 期刊论文

  • 发表日期：

    2026年6月18日

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  • Lisi Wei,
  • Yuefeng Gu,
  • Haoqi Liu,
  • Gongjie Liu,
  • Xiaolin Xiang,
  • Yuhao Wang,
  • Xuehui Dong,
  • Qiuhong Li

摘要

The selective detection of ammonia, a hazardous atmospheric pollutant, at room temperature remains a key challenge for high-performance gas sensor development. In this study, three ZnIn2S4 (ZIS)-based metal sulfide heterojunctions including Ag2S/ZIS, CuS/ZIS, and NiS/ZIS were synthesized via a cation exchange strategy, where the formation of well-defined heterostructures led to significantly enhanced sensing performance. Among them, the Ag2S/ZIS sensor exhibited ultra-high sensitivity, achieving a response of 2.35 to 10 ppm ammonia at room temperature. Furthermore, a neural network model was employed to analyze the response curves of the three heterojunctions under varying gas concentrations. The results revealed that all three sensors achieved recognition accuracies exceeding 87.5%, with the Ag2S/ZIS heterojunction showing the highest accuracy, highlighting its superior performance compared to the other two sensors.

Graphical Abstract