Pecorella, Gabriele Restifo;
Verderame, Gianluca;
Livreri, Patrizia;
Lombardo, Antonio;
(2022)
Microwave gas sensor based on graphene aerogel for breath analysis.
In:
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
IEEE: Messina, Italy.
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Abstract
Exhaled breath can be used for early detection and diagnosis of diseases, monitoring metabolic activity, and precision medicine. In this work, we design and simulate a microwave sensor in which thin graphene aerogels are integrated into rectangular microwave waveguides. Graphene aerogels are ideal sensing platforms for gases and volatile compounds as they combine extremely high surface-to-volume ratio and good electrical conductivity at RF and microwave frequencies. The latter is modified by exposure to different gases, and -when integrated into a waveguide- these changes result in significant shifts in transmission and reflection scattering parameters. We model the aerogel as a graphene grid with hexagonal openings of size 22.86×10.16×0.1 mm3, characterized by an air volume equal to about 90 % of its entire volume. This grid is used as a building block for modeling thicker samples (up to 9 mm), To simulate the variation in the dynamic conductivity of the graphene sheets as a consequence of the absorption of gaseous molecules, a sweep of the chemical potential from 0.0 e V to 0.5 e V with steps of 0.1 e V was used. The results show a significant variation of the waveguide transmission scattering parameters resulting from the gas-induced modification of the graphene conductivity, and hence the potential of the proposed sensor design for breath analysis.
| Type: | Proceedings paper |
|---|---|
| Title: | Microwave gas sensor based on graphene aerogel for breath analysis |
| Event: | 17th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA) |
| Location: | Messina, ITALY |
| Dates: | 22 Jun 2022 - 24 Jun 2022 |
| ISBN-13: | 9781665482998 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MEMEA54994.2022.9856466 |
| Publisher version: | https://doi.org/10.1109/MeMeA54994.2022.9856466 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | graphene aerogel, gas sensors, rectangular waveguide, microwave sensors, ELECTRONIC NOSE TECHNOLOGY, AIR, OXIDE |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10158373 |
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