Journal of Materials Science: Materials in Electronics

, Volume 29, Issue 21, pp 18380–18387 | Cite as

A high-performance NH3 gas sensor based on TiO2 quantum dot clusters with ppb level detection limit at room temperature

  • Haixin Liu
  • Wenhao ShenEmail author
  • Xiaoquan Chen
  • Jean-Pierre Corriou


Nanometer sized aggregates of titanium dioxide quantum dot clusters (QDs) were used with a convenient low temperature (80 °C) hydrolysis method to prepare a high performance NH3 gas sensor. Using transmission electron microscopy, the synthesized material was found to consist of massive anatase TiO2 QDs (66 nm) with excellent stability and dispersibility (the individual QDs were formed from 2 to 5 nm diameter anatase crystals). The unique preparation method yielded a highly porous TiO2 QDs structure with a huge specific surface area (315.74 m2/g). This provides more potential reaction sites on the surface potential enhancing the performance of the sensor. Testing revealed these NH3 (g) sensors demonstrated excellent gas sensing properties (0.2–10 ppm, room temperature), high sensitivity, selectivity, stability, low detection limit (0.2 ppm), rapid response recovery (88 s/23 s for 0.2 ppm), and a linear response to concentration.



The research was supported by the Research Funds of National Science Foundation of Guangdong, China (No. 2016A030313478), Science and Technology Planning Project of Guangdong, China (No. 2015A020215012), State Key Laboratory of Pulp and Paper Engineering, South China University of Technology (No. 2015C05), and Science and Technology Program of Guangzhou, China (No. 201607010050).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Haixin Liu
    • 1
  • Wenhao Shen
    • 1
    Email author
  • Xiaoquan Chen
    • 1
  • Jean-Pierre Corriou
    • 2
  1. 1.State Key Laboratory of Pulp and Paper EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.Laboratoire Réactions et Génie des Procédés, UMR 7274-CNRS, Lorraine University, ENSICNANCY CedexFrance

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