Zain, Huda Adnan Abdullah and Batumalay, Malathy and Rahim, Hazli Rafis Abdul and Tuan Harith, Zuhar Zahir and Yasin, Moh and Harun, Sulaiman Wadi (2021) Surface plasmon resonance optical sensor for COVID-19 detection. Nanosystems-Physics Chemistry Mathematics, 12 (5). pp. 575-582. ISSN 2220-8054, DOI https://doi.org/10.17586/2220-8054-2021-12-5-575-582.
Full text not available from this repository.Abstract
The transmission of SARS-CoV-2, the novel severe acute respiratory syndrome corona virus have caused the corona virus disease (Covid-19) worldwide pandemic. Overcoming this pandemic requires identifying patients to avoid further spread of the disease. Real-time, sensitive, and cost-efficient methods for detecting the COVID-19 virus are crucial. Optical sensors provide one such means to achieve this, especially using surface plasmon resonance due to its advantages such as high sensitivity and excellent detection limits. In this paper, we propose a sensor for COVID-19 detection which is based on a simple Kretschmann configuration with gold layers and thiol-tethered DNA for the ligand layer. Angle interrogation was used to obtain the sensitivity of this structure using Matlab numerical analysis. The performance of the sensor was investigated with two types of prisms, SF10 and SF11, while varying the gold layer thickness between 45 - 60 nm. This information was then used to determine which combination of prism and gold thickness are ideal for detecting COVID-19 using thiol-tethered DNA. Thiol-tethered DNA layer sensor showed the highest sensitivity of 137 degree/RIU when a SF10 prism was used with a 50 - 60 nm gold layer and thiol tethered DNA layer.
| Item Type: | Article |
|---|---|
| Funders: | Airlangga University, Universiti Malaya[ST036-2020] |
| Uncontrolled Keywords: | Optical sensors;COVID-19;Surface plasmon resonance;Plasmonic;Energy efficiency |
| Subjects: | Q Science > QC Physics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 17 Sep 2022 10:00 |
| Last Modified: | 17 Sep 2022 10:00 |
| URI: | http://eprints.um.edu.my/id/eprint/35107 |
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