Bio‐Inspired Nanoengineered Wood for Scalable Monolithic Gas Sensor Fabrication
Abstract
AbstractInsects exhibit exceptional olfactory abilities due to the synergistic interaction between porous sensilla and sensory receptors, optimizing gas transmission and capture. Inspired by this, a scalable structure of WS2‐functionalized nanoengineered wood (WS2‐NEW) for bio‐inspired gas sensors is designed. A multiscale sensing network mimicking insect receptor synergy by in‐situ loading WS2 nanosheets into vertically aligned microchannels formed by lignin removal, integrated with cross‐sectional 3D interdigital electrodes is developed. The nanoengineered wood enables selective NO2 adsorption and optimized charge transfer through engineered gas transport pathways and defect‐rich active sites. With the optimized 3D electrode structure, WS₂‐NEW facilitates rapid gas transmission and real‐time signal transduction, achieving highly sensitive NO2 detection at room temperature with a detection limit as low as 50 ppb. Utilizing wood's processability, WS2‐NEW has demonstrated the potential for large‐scale manufacturing via simple cutting techniques. A wireless sensor watch based on WS2‐NEW for real‐time NO2 detection highlights its potential in wearable devices. This work proposes an innovative strategy for the manufacturing of gas sensors.
Article Details
Authors (13)
Mingwei Gu
Yihong Zhong
Institute of Functional Nano and Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon‐Based Functional Materials & Devices Soochow University Suzhou Jiangsu 215123 P. R. China
Jing Hu
Tuo Zhang
Shiliang Mei
Institute of Mechanical and Electric Engineering Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology Soochow University Suzhou Jiangsu 215123 P. R. China
Hao Shen
Sheng Miao
Liguo Chen
Xuhui Sun
Zhen Wen
Guan Yu Chen
Institute of Mechanical and Electric Engineering Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology Soochow University Suzhou Jiangsu 215123 P. R. China
Yunlei Zhou
Haibo Huang