Gas identification with graphene plasmons

Hai Hu, Xiaoxia Yang, Xiangdong Guo, Kaveh Khaliji, Sudipta Romen Biswas, F. Javier García de Abajo, Tony Low (), Zhipei Sun () and Qing Dai ()
Additional contact information
Hai Hu: CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
Xiaoxia Yang: CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
Xiangdong Guo: CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology
Kaveh Khaliji: University of Minnesota
Sudipta Romen Biswas: University of Minnesota
F. Javier García de Abajo: The Barcelona Institute of Science and Technology
Tony Low: University of Minnesota
Zhipei Sun: Department of Electronics and Nanoengineering, Aalto University, Tietotie 3
Qing Dai: CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology

Nature Communications, 2019, vol. 10, issue 1, 1-7

Abstract: 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 (

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-09008-0 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09008-0

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-09008-0

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().