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Wearable Piezoelectric BioMEMS-based Sensor for SAR COV-2 (COVID-19) Virus Droplets Detec

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dc.contributor.author Abdullah
dc.date.accessioned 2023-06-21T05:44:52Z
dc.date.available 2023-06-21T05:44:52Z
dc.date.issued 2023
dc.identifier.other 321081
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/34136
dc.description Supervisor: Dr. Ahmed Rasheed en_US
dc.description.abstract As the recent pandemic Covid-19 being passed, it leaves the importance of viral diagnostics matter of fact in time factor as rapid detection as fast-growing as airborne. With previous molecular methods such as RT-PCR, and ELISA the lagging was in rapid diagnostics, and with the growing world miniaturization of electronic devices comes biosensors which are more rapid in diagnostics. Piezo-electric transducer coupled with MEMS comes into the category of electromechanical Biosensor.The designed model has electrodes to transmit output parameters, Transducers to convert mechanical stress by virus analyte into electrical energy, and a cantilever beam to increase the efficiency of the transducer via the coupling coefficient factor. Evaluated in terms of the differently designed models with efficient output in terms of voltage, displacement, and stress are being taken into consideration. Also, detection through resonance frequency has been taken as a major factor for early detection. Which upon mechanical stress resonance frequency shifts and detect the presence of the virus. With effective biosensor-designed models, detecting the SAR COV-2 virus and its variants would be used for rapid diagnosing. The piezoelectric effect is used as a diagnosis principle where the mass of COVID-19 virion of mass (1 femto gram) is used as mechanical stress which transduces the electric potential across the transducer. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and Computer Sciences (SEECS), NUST en_US
dc.title Wearable Piezoelectric BioMEMS-based Sensor for SAR COV-2 (COVID-19) Virus Droplets Detec en_US
dc.type Thesis en_US


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