Materials and Design of the Advanced Bioelectronics: from Sensitivity to Selectivity

Bioelectronics have emerged as powerful platforms for continuous and real-time monitoring of physiological signals, including electrophysiological, mechanical, and electrochemical information. Over the past decade, significant advances in materials engineering and device architectures have enabled unprecedented levels of sensitivity, allowing the detection of weak biological signals with high fidelity. However, as bioelectronic systems become increasingly integrated into dynamic and complex biological environments, improving sensitivity alone is no longer sufficient. The ability to selectively distinguish target signals from various sources of interference and noise has become a critical challenge.

In this presentation, I will discuss recent advances in materials and structural designs that enable the transition from sensitivity-oriented to selectivity-oriented bioelectronics. Particular emphasis will be placed on hardware-based signal preprocessing strategies that suppress motion artifacts before signal acquisition. By controlling mechanical interactions between biological tissues and devices, unique materials and architectures can minimize stress-induced signal distortions while preserving target physiological information. Examples include strain-compliant interfaces, stress-damping materials, frequency-selective vibration absorbers, and mechanical bandpass filters that selectively attenuate unwanted dynamic noise.

These approaches demonstrate how materials and structural engineering can provide intrinsic selectivity, complementing conventional software-based signal processing methods while reducing computational burden, power consumption, and signal latency. Finally, future opportunities for integrating multifunctional materials, adaptive mechanical systems, and selective signal transduction mechanisms will be discussed toward the realization of highly reliable and intelligent bioelectronic platforms for next-generation healthcare monitoring and diagnostics.