Systematic Review on Biosensor Systems for COVID-19 Aerosol Detection
Author:
Affiliation:
1. Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy
2. Department of Computer Science, Università degli Studi di Bari, Aldo Moro, 70121 Bari, Italy
3. Global Health Security Agenda—GHSA, 00153 Roma, Italy
Publisher
MDPI
Link
https://www.mdpi.com/2504-3900/97/1/203/pdf
Reference18 articles.
1. Gavrilaș, S., Ursachi, C.Ș., Perța-Crișan, S., and Munteanu, F.-D. (2022). Recent Trends in Biosensors for Environmental Quality Monitoring. Sensors, 22.
2. Li, Z., Mohamed, M.A., Vinu Mohan, A.M., Zhu, Z., Sharma, V., Mishra, G.K., and Mishra, R.K. (2019). Application of Electrochemical Aptasensors toward Clinical Diagnostics, Food, and Environmental Monitoring: Review. Sensors, 19.
3. Iwanaga, M. (2021). High-Sensitivity High-Throughput Detection of Nucleic Acid Targets on Metasurface Fluorescence Biosensors. Biosensors, 11.
4. Hadi, M.U., and Khurshid, M. (2022). SARS-CoV-2 Detection Using Optical Fiber Based Sensor Method. Sensors, 22.
5. Cheng, C.-H., Peng, Y.-C., Lin, S.-M., Yatsuda, H., Liu, S.-H., Liu, S.-J., Kuo, C.-Y., and Wang, R.Y.L. (2022). Measurements of Anti-SARS-CoV-2 Antibody Levels after Vaccination Using a SH-SAW Biosensor. Biosensors, 12.
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