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Raspberry-like hollow SnO2-based nanostructures for sensing VOCs and ammonia

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Abstract

The raspberry-like hollow SnO2-based (bare SnO2 and Pd-doped SnO2) nanostructures with different dominant crystal facets were prepared facilely using carbon nanospheres as templates via solvothermal method. Volatile organic compounds (VOCs) and ammonia (NH3) gas sensing performances of the hollow SnO2-based structures were studied systematically. The gas sensing performances were investigated in a temperature range of 150–315 °C. It was found that 285 °C was the optimum operating temperature for both the sensors. The SnO2 sensor showed excellent VOCs (1–100 ppm) sensing performances, with a fast response/recovery behavior (around 4 s/30 s) at 285 °C. While the Pd-SnO2 sensor displayed selective NH3 sensing characteristics at low concentrations of 1.5–12 ppm, interestingly, with a response/recovery time of about 4 s/80 s at 285 °C. Both the SnO2 and Pd-SnO2 sensors showed great repeatability for 8 response/recovery cycles, and very slight response recession for a long period. It was found that not only the morphology, the synergistic effect from the heterojunctions of doped Pd and SnO2, and the Pd catalysis, but also the crystal facets could modulate the sensing performance of metal oxides.

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Acknowledgements

The authors acknowledge M. L. for help with the TEM, XRD, and XPS characterizations. The authors W. Y., H. Z, and C. G. acknowledge the 2011 Zhejiang Regional Collaborative Innovation Center for Smart City.

Funding

This research was supported by the Zhejiang Science and Technology Foundation (LQ20F040006), 2011 Zhejiang Regional Collaborative Innovation Center for Smart City, and Research Foundation of Hangzhou Dianzi University.

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Authors and Affiliations

  1. Smart City Research Center, School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China

    Wenjun Yan, Houpan Zhou & Chunwei Guo

  2. Provincial Key Laboratory of Advanced Chemical Engineering Manufacture Technology, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China

    Xiaomin Zeng, Gu Wu, Wei Jiang, Di Wei & Min Ling

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  1. Wenjun Yan
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  2. Xiaomin Zeng
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  3. Gu Wu
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Correspondence to Wenjun Yan, Houpan Zhou or Chunwei Guo.

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Yan, W., Zeng, X., Wu, G. et al. Raspberry-like hollow SnO2-based nanostructures for sensing VOCs and ammonia. J Mater Sci: Mater Electron 31, 14165–14173 (2020). https://doi.org/10.1007/s10854-020-03971-x

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