UV–Ozone Interfacial Modification in Organic Transistors for High-Sensitivity NO2 Detection

Wei Huang, Xinming Zhuang, Ferdinand S. Melkonyan, Binghao Wang, Li Zeng, Gang Wang, Shijiao Han, Michael J. Bedzyk, Junsheng Yu, Tobin J. Marks, Antonio Facchetti

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

A new type of nitrogen dioxide (NO2) gas sensor based on copper phthalocyanine (CuPc) thin film transistors (TFTs) with a simple, low-cost UV–ozone (UVO)-treated polymeric gate dielectric is reported here. The NO2 sensitivity of these TFTs with the dielectric surface UVO treatment is ≈400× greater for [NO2] = 30 ppm than for those without UVO treatment. Importantly, the sensitivity is ≈50× greater for [NO2] = 1 ppm with the UVO-treated TFTs, and a limit of detection of ≈400 ppb is achieved with this sensing platform. The morphology, microstructure, and chemical composition of the gate dielectric and CuPc films are analyzed by atomic force microscopy, grazing incident X-ray diffraction, X-ray photoelectron spectroscopy, and Fourier transform infrared spectroscopy, revealing that the enhanced sensing performance originates from UVO-derived hydroxylated species on the dielectric surface and not from chemical reactions between NO2 and the dielectric/semiconductor components. This work demonstrates that dielectric/semiconductor interface engineering is essential for readily manufacturable high-performance TFT-based gas sensors.

Original languageEnglish
Article number1701706
JournalAdvanced Materials
Volume29
Issue number31
DOIs
Publication statusPublished - Aug 18 2017

Keywords

  • UV–ozone
  • interface trap
  • nitrogen dioxide sensors
  • organic thin-film transistors

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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    Huang, W., Zhuang, X., Melkonyan, F. S., Wang, B., Zeng, L., Wang, G., Han, S., Bedzyk, M. J., Yu, J., Marks, T. J., & Facchetti, A. (2017). UV–Ozone Interfacial Modification in Organic Transistors for High-Sensitivity NO2 Detection. Advanced Materials, 29(31), [1701706]. https://doi.org/10.1002/adma.201701706