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Gas identification with graphene plasmons

Author

Listed:
  • Hai Hu

    (CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
    University of Chinese Academy of Sciences)

  • Xiaoxia Yang

    (CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
    University of Chinese Academy of Sciences)

  • Xiangdong Guo

    (CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
    University of Chinese Academy of Sciences)

  • Kaveh Khaliji

    (University of Minnesota)

  • Sudipta Romen Biswas

    (University of Minnesota)

  • F. Javier García de Abajo

    (The Barcelona Institute of Science and Technology
    ICREA-Institució Catalana de Recerca i Estudis Avançats)

  • Tony Low

    (University of Minnesota)

  • Zhipei Sun

    (Department of Electronics and Nanoengineering, Aalto University, Tietotie 3
    QTF Centre of Excellence, Department of Applied Physics, Aalto University)

  • Qing Dai

    (CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
    University of Chinese Academy of Sciences)

Abstract

Identification of gas molecules plays a key role a wide range of applications extending from healthcare to security. However, the most widely used gas nano-sensors are based on electrical approaches or refractive index sensing, which typically are unable to identify molecular species. Here, we report label-free identification of gas molecules SO2, NO2, N2O, and NO by detecting their rotational-vibrational modes using graphene plasmon. The detected signal corresponds to a gas molecule layer adsorbed on the graphene surface with a concentration of 800 zeptomole per μm2, which is made possible by the strong field confinement of graphene plasmons and high physisorption of gas molecules on the graphene nanoribbons. We further demonstrate a fast response time (

Suggested Citation

  • Hai Hu & Xiaoxia Yang & Xiangdong Guo & Kaveh Khaliji & Sudipta Romen Biswas & F. Javier García de Abajo & Tony Low & Zhipei Sun & Qing Dai, 2019. "Gas identification with graphene plasmons," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09008-0
    DOI: 10.1038/s41467-019-09008-0
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    Cited by:

    1. Zhihao Ren & Zixuan Zhang & Jingxuan Wei & Bowei Dong & Chengkuo Lee, 2022. "Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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