Fabrication of Interdigitated Electrodes based biosensor and Prediction of Covid-19 cases using Linear Regression

Abstract

Novel coronaviruses (CoVs) are pathogens pertaining to zoonosis but their interaction with humans is recently found. The CoVs is well known as one of the great genome of RNA viruses which was recently found to exhibit mutations. The first case recorded by the WHO was at Wuhan, China on 31 December 2019. It started as a case of absurd pneumonia condition. The use of serum of patients is being used of the patients that have been affected by Covid-19 and now have been cured. Patients those have been cured with the disease are seen to develop a Covid-19 polyclonal antibody to different viral antigens. This paper aims in developing a biosensor based interdigitated electrodes which can be used for detection of the Covid-19. IDEs based biosensors are showing progress in the field of medicine for the detection of biomolecules like bacteria and viruses. For optimization purpose, the corresponding electrical circuit with particular number of fingers, width and spacing of IDE was designed using AutoCAD. The designed electrical circuit is simulated using Gamry Echem-analyst software from Gamry Instruments. The study includes the future prediction analysis of number of Covid-19 cases in India using linear regression in machine learning. The prediction showcases the predicted values on day 31 and day 50. The simulation is done in Matlab environment. The sensitivity of the model for prediction on 31^st day is 94.25% and on 50^th day is 76.58%.