Tick-Borne Encephalitis Electrochemical Detection by Multilayer Perceptron on Liquid–Metal Interface

This
work depicts an electrochemical hydrogel–eutectic gallium
indium alloy interface for the detection of tick-borne encephalitis
(TBE) virus. This interface allows recording of nonlinear current–voltage
responses, depending on the composition of the hydrogel. The current–voltage
data for the machine learning model are trained by a multilayer perceptron.
This model accurately recognizes the TBE antibody, antigen, and an
antibody–antigen complex in mixture with interfering bovine
serum albumin with 93% accuracy. Thus, this interface can be used
as a convenient method for expressed viruses and pathogens detection.