Waldo Udos;Soon Hao Tan;Kok-Sing Lim;Kien Chai Ong;May Lee Low;Heming Wei;Harith Ahmad
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Enhanced Detectability of SARS-CoV-2 Using Sandwich Immunoassay Sensor Based on Tilted Fiber Bragg Grating With Strong Cladding Mode Resonances
This research introduces a method for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizing tilted fiber Bragg grating (TFBG) with strong cladding mode resonances (~30 dB). The biofunctionalization treatment involves a series of surface biofunctionalizations, including the incorporation of an enhancer layer with avidin-biotin complex (ABC) to enhance the output response of the biosensor. The parameters studied include cutoff intensity change and wavelength shift of the lower envelope of the transmission spectra. For cutoff intensity change, the sensitivity of the biosensor improves by ~39.96%, and the limit of detection (LOD) decreases by ~56.94%. For wavelength shift, the sensitivity increases by ~48.96%, while the LOD is reduced by ~64.26%. Specificity tests, including those with non-SARS-CoV-2 samples, have been carried out to showcase the strong performance of the biosensor. In addition, control tests have been conducted to validate the biosensor’s reliability.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
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-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
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-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice