Stochastic electrochemistry is an emerging and powerful analytical approach that transforms electrochemical fluctuations, traditionally regarded as nuisance, into a rich source of chemical and biological information. Rather than filtering these fluctuations, their systematic analysis provides new pathways to achieve enhanced selectivity, specificity, and functional insight in biosensors and bioelectronic systems. This presentation will introduce recent advances demonstrating how stochastic electrochemical signals can be exploited across a range of applications that extend well beyond conventional sensing strategies.
First, stochastic analysis enables real-time quantification of active electrode surface area, offering a direct means to measure biofouling as it develops and to recalibrate sensors dynamically during operation. [1,2] This capability provides a new route to extend sensor service life, complementary to the anti-biofouling chemistries and strategies. Second, frequency-specific features within stochastic signals can be linked to analyte concentration and binding dynamics, introducing an additional dimension of selectivity that is inaccessible through steady-state or transient electrochemical measurements alone. Third, these concepts open new opportunities for probing cellular biosensing via ion channel activity, where stochastic signatures can distinguish channel-specific behaviour in a label-free manner.
Together, these examples position stochastic electrochemistry as an emerging analytical framework for advancing biosensors and bioelectronics. By extracting meaningful information from intrinsic signal fluctuations, this approach enables more reliable, selective, and information-rich measurements, with implications for diagnostics, wearable and implantable devices, and broader bioanalytical technologies.
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