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Large area CVD graphene-based sensors/IR-photodetectors

Reference number
Coordinator SenseAir AB - SenseAir AB, Delsbo
Funding from Vinnova SEK 1 120 000
Project duration May 2018 - January 2020
Status Completed
Venture Strategic innovation program SIO Grafen

Purpose and goal

The overall goal of this project is to create a graphene device processing platform to promote future research and innovations within the applications forensic sensors and IR detectors for industrial environments.

Expected results and effects

Cost effective CVD graphene-based sensors for illicit drug detection were successfully demonstrated by sensing amphetamine salts in water or buffer solutions [RISE, Pamitus, Nationellt Forensiskt Centrum (NFC)]. The amphetamine sensors were successfully fabricated by cost-effective CVD graphene on SiO2 in wafer scale and presented at Nordic Nanolab User Meeting and IEEE NMDC2019. Graphene plasmonic structures for IR detection were also processed and characterized, but further research is needed to form the large areas necessary for the wanted response at mid-IR wavelengths.

Planned approach and implementation

The CVD graphene device process methods have developed to produce targeted cost-effective sensors/IR-detectors. The related process protocols, design/simulation routines and characterization setups have been established for fabricating and analysis of the graphene devices, for example, the response of the sensor with current change per analyte concertation in approximately 0.1 µA/(mg/ml) and 0.33 µA/(mg/ml) for amphetamine-sulphate/hydrochloride has been revealed. However, for utilizing these graphene devices in commercial applications, further work is required. Plasmonic IR detectors were attempted based on designed/simulated periodic nano ribbons or nanohole arrays on graphene [SenseAir, RISE, KTH]. These nano structures were characterized using various structural, electrical and optical measurements by optical microscope, AFM, SEM, IV, FTIR and Raman spectroscopy [RISE, SenseAir].

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 14 February 2020

Reference number 2018-01495

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