An intelligent guided-airborne virus detection
21st IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2022
; : 134-137, 2022.
Article
in English
| Scopus | ID: covidwho-2230674
ABSTRACT
Health has recently faced many challenges, including improving a healthy environment and reducing human life's dangers and economic crises. The last pandemic COVID-19 had badly affected survivor sectors with infection and lockdown exigence. Scientists proposed several solutions to reduce the negative impact of a such pandemic by proposing systems for earlier detection of viruses. The use of metamaterials as an emerging technology in the biosensors field allows a high accuracy. This paper presents a method for detecting and capturing airborne viruses using metasurface technology. The goal is to develop a system that can identify and capture these viruses using FET sensors. The accuracy of the detection is tied to the concentration of aerosols. The model proposes a guided flow of aerosols that positively impacts the detection of viruses through the FET biosensor. The simulation results based on Concentration and airflow velocity delays prove the proposed model's performance. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
21st IEEE International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS