Advanced terahertz-range dopamine detection using a 2D material-based metasurface biosensor
This study presents an innovative terahertz-range dopamine detection sensor utilizing a metasurface architecture incorporating graphene, borophene, and phosphorene. The sensor design features a 2 µm square resonator coated with phosphorene, surrounded by four 1 µm borophene-coated circular resonators on a 16µ<i>m</i>×16µ<i>m</i> graphene platform. The numerical findings in the present study are essentially investigated based on the fundamentals of the finite element method through COMSOL Multiphysics software. The sensor demonstrates consistent operation across two frequency bands (0.1-0.3 THz and 1.2-1.6 THz), with tuning ranges of 16 and 70 GHz, respectively. Meanwhile, the performance analysis reveals an exceptional sensitivity of 500 GHz/RIU, with a figure of merit of 8.333 and a detection limit of 0.223. Additionally, we have conducted a machine learning optimization using polynomial regression, achieving <i>R</i><sup>2</sup> values exceeding 0.92, to validate the design's reliability. Therefore, we believe that the proposed sensor offers a practical solution for dopamine detection, combining high sensitivity with fabrication feasibility for potential commercial applications.
Authors
- Ahmed Mehaney (ORCID: https://orcid.org/0000-0002-9318-7358)
- Mostafa R. Abukhadra (ORCID: https://orcid.org/0000-0001-5404-7996)
- Stefano Bellucci A (ORCID: https://orcid.org/0000-0003-0326-6368)
- May Nasser Bin-Jumah (ORCID: https://orcid.org/0000-0002-3017-9924)
- Haifa A. Alqhtani (ORCID: https://orcid.org/0000-0002-1174-8909)
- Jacob Wekalao (ORCID: https://orcid.org/0009-0002-9027-8606)
- Hussein A. Elsayed (ORCID: https://orcid.org/0009-0003-1541-349X)
- Amuthakkannan Rajakannu
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Beni-Suef University (EG)
- University of Science and Technology of China (CN)
- Applied Science Private University (JO)
- University of Ha'il (SA)
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati (IT)
Publication Details
- Journal
- Applied Optics
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1364/ao.564120
- Citations
- 7
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.64
Funders
- Princess Nourah Bint Abdulrahman University