2020 Fiscal Year Annual Research Report
Highly-accurate and self-powered environmental sensor based on integrated graphene NEMS-nano particles with signal amplification
| Project/Area Number |
18K04260
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
MURUGANATH AN.M 北陸先端科学技術大学院大学, 先端科学技術研究科, 講師 (20639322)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | Graphene / Gas sensing / vdW bonding memory / Doping / Scattering |
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| Outline of Annual Research Achievements |
In this project, we have studied the scattering contribution of the graphene－molecule van der Waals (vdW) complex under various electric fields and the associated vdW bonding retention in the complex. In FY2020, we clarified that contrary to the generally opined view, doping does not always dominate the graphene－molecule vdW complex interaction and the vdW complex interaction only shows doping-dominated interaction at zero electric fields while scattering increases with electric field modulation. The “vdW bonding memory” phenomenon was also discovered, and we concluded that it results from the high binding energies of the vdW complexes, which are an order of magnitude higher than the sensing measurement thermal energy.
As the final main achievement, we developed a new method to distinguish various gas via the tuning voltage induced charge transfer characteristics. The charge neutrality point difference was observed in various environments: dry air, 100% N2 and 100% O2, Ammonia/N2, and (84 ppm, 5ppb) Ammonia/Real Air, and shown to be characteristic of each environment.
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[Presentation] High-Performance Graphene Sensors to Detect Silent Voices from Human Skins and Thunder Clouds2020
Author(s)
Manoharan Muruganathan, Osazuwa Gabriel Agbonlahor, Afsal Kareekunnan, Tatsufumi Agari, Sankar Ganesh Ramaraj, Hisashi Maki, Masashi Hattori, Kenichi Shimomai, Takeshi Kudo, Takeshi Maruyama, and Hiroshi Mizuta
Organizer
International Symposium on Silent Voice Sensing
Int'l Joint Research / Invited
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