Adsorption of a biofouling layer on the surface of biosensors
decreases
the electrochemical activity and hence shortens the service life of
biosensors, particularly implantable and wearable biosensors. Real-time
quantification of the loss of activity is important for in
situ assessment of performance while presenting an opportunity
to compensate for the loss of activity and recalibrate the sensor
to extend the service life. Here, we introduce an electrochemical
noise measurement technique as a tool for the quantification of the
formation of a biofouling layer on the surface of gold. The technique
uniquely affords thermodynamic and kinetic information without applying
an external bias (potential and/or current), hence allowing the system
to be appraised in its innate state. The technique relies on the analysis
of non-faradaic current and potential fluctuations that are intrinsically
generated by the interaction of charged species at the electrode surface,
i.e., gold. An analytical model is extended to explain the significance
of parameters drawn from statistical analysis of the noise signal.
This concept is then examined in buffered media in the presence of
albumin, a common protein in the blood and a known source of a fouling
layer in biological systems. Results indicate that the statistical
analysis of the noise signal can quantify the loss of electrochemical
activity, which is also corroborated by impedance spectroscopy as
a complementary technique.