Diagnostics | |
Detection of COVID-19 Virus on Surfaces Using Photonics: Challenges and Perspectives | |
Yousif Al Mashhadany1  Norhana Arsad2  Bakr Ahmed Taha2  Ahmad Ashrif A Bakar2  Mohd Hadri Hafiz Mokhtar2  Mohd Saiful Dzulkefly Bin Zan2  Nur Nadia Bachok2  | |
[1] Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq;UKM—Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Malaysia; | |
关键词: photonics; COVID-19; laser diagnosis techniques; optical biosensor; coronavirus; light–matter interaction; | |
DOI : 10.3390/diagnostics11061119 | |
来源: DOAJ |
【 摘 要 】
The propagation of viruses has become a global threat as proven through the coronavirus disease (COVID-19) pandemic. Therefore, the quick detection of viral diseases and infections could be necessary. This study aims to develop a framework for virus diagnoses based on integrating photonics technology with artificial intelligence to enhance healthcare in public areas, marketplaces, hospitals, and airfields due to the distinct spectral signatures from lasers’ effectiveness in the classification and monitoring of viruses. However, providing insights into the technical aspect also helps researchers identify the possibilities and difficulties in this field. The contents of this study were collected from six authoritative databases: Web of Science, IEEE Xplore, Science Direct, Scopus, PubMed Central, and Google Scholar. This review includes an analysis and summary of laser techniques to diagnose COVID-19 such as fluorescence methods, surface-enhanced Raman scattering, surface plasmon resonance, and integration of Raman scattering with SPR techniques. Finally, we select the best strategies that could potentially be the most effective methods of reducing epidemic spreading and improving healthcare in the environment.
【 授权许可】
Unknown