Direct electrochemical cortisol detection via transition-resolved interrogation at a defect-engineered graphene interface
Mahmud, A.; Zhao, C.; Uwakwe, C.; Hsu, K.-J.; Choi, I. R.; Chen, T.; DeFelice, B. C.; Gray, I.; Hwang, J.; Ilyn, D.; Redvanly, T.; Rijns, L.; Wei, S.; Weber, I. C.; Patino, D. U.; Lin, Y.; Yu, W.; Lyu, H.; Chen, Y.; Xu, C.; Shi, B.; Sedano, A.; Heo, J.; DeSimone, J. M.; Bao, Z.
Show abstract
Continuous tracking of cortisol is central to understanding human stress physiology, yet direct electrochemical detection without biological receptors remains challenging despite its promise for stable and dynamic sensing. Electrochemical reduction of cortisol typically occurs at highly negative potentials, where parasitic interfacial currents, hydrogen evolution, and substantial capacitive background overlap with the cortisol reduction signal, preventing accurate quantification. We overcome this barrier through an integrated material-measurement strategy combining a defect-engineered graphene interface with a transition-resolved interrogation (TRI) measurement strategy. First, we engineered polybenzimidazole-derived laser-induced graphene containing nitrogen-rich defects while suppressing oxygen-derived functionalities which reduced parasitic background currents within the same cathodic potential regime. Next, we designed TRI to leverage differences in the time-dependent evolution of overlapping cathodic processes to isolate a localized cortisol-associated electrochemical reduction transition. Derivative-domain projection coupled with background estimation enables its reliable quantification. This integrated sensing architecture enables sensitive, selective, and dynamic cortisol detection in both artificial and biological interstitial fluids at low nanomolar concentrations. The response remains reproducible across physiologically relevant variations in pH, ionic strength, temperature, and repeated cycling. Together, these capabilities provide a basis for continuous electrochemical cortisol monitoring for future study of stress physiology.
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