Realizing high-performance wood-based piezoresistive sensing through an interfacial bridging approach for wearable functional integration.

Wood-based aerogels have garnered widespread attention in flexible wearable electronics owing to their sustainability, low density, and high porosity. However, extant wood-based aerogel sensors often struggle to balance high sensitivity, broad detection range, and long-term stability, primarily due to the irregular conductive filler dispersion and weak interfacial bonding within the cellulose framework. Herein, the covalent-noncovalent interfacial bridging strategy was developed to fabricate a MXene/carbon nanotube (CNT) wood aerogel piezoresistive sensor with a layered porous structure and an abundant, stable 3D conductive network. The aerogel exhibited superior elasticity (96.70% stress retention after 1000 cycles at 50% compression strain), a broad detection range (0-160 kPa), and high sensitivity (13.76 kPa-1), outperforming most reported biomass-based aerogel sensors. This performance enables reliable operation across diverse applications, including physiological monitoring, human motion detection, information encoding, and wireless real-time robot control. Furthermore, when integrated with machine learning, the sensor achieves 99.44% accuracy in recognizing different hand gestures. This study presents an innovative and sustainable design strategy for high-performance wood aerogel sensors aimed at advanced flexible electronic applications.