Abstract：
Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H2O2. The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa-1, covering a wide linear working pressure range of 0.06-100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa-1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
摘要：
轻质且高度可压缩的材料在柔性压力感测装置中受到相当大的关注。在这项研究中,一系列多孔木材（PWs）是通过将处理时间调整为0至15h并通过H2O2进行额外氧化来从天然木材中化学去除木质素和半纤维素而产生的。所制备的表观密度从95.9至46.16mg/cm3不等的PWs倾向于形成具有改善的可压缩性的波形交织结构(在100kPa下高达91.89%应变)。由PW组装的传感器，处理时间为12h（PW-12），具有最佳的压阻-压电耦合传感特性。对于压阻特性，它具有15.14kPa-1的高应力敏感性，覆盖0.06-100kPa的宽线性工作压力范围。因为它的压电势，PW-12显示灵敏度为0.443V·kPa-1，超低频检测低至0.0028Hz，在0.41Hz下超过60,000次循环和良好的可循环性。自然衍生的全木压力传感器在满足电源需求的灵活性方面表现出明显的优势。更重要的是,它提供了完全解耦的信号没有交叉对话在双传感功能。像这样的传感器能够监测各种动态人体运动，使其成为下一代人工智能产品的极具前景的候选产品。
