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用于自供电监测与预测的凝胶微针中碳纳米管协同增强的稳健酶燃料电池

Carbon-Nanotube Synergized Robust Enzymatic-Fuel-Cell in Gel Microneedle for Self-Powered Monitoring and Forecasting.

作者信息

Guo Yuting, Shang Yinghui, Han Xiaoke, Tang Yujing, Ma Teng, Shen Hongdou, Guo Yu, Wang Xia, Wu Dongbei, Wang Qigang

机构信息

School of Chemical Science and Engineering, Tongji University, Shanghai, 200092, P. R. China.

Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, P. R. China.

出版信息

Adv Mater. 2025 Jul;37(30):e2313837. doi: 10.1002/adma.202313837. Epub 2025 Jun 4.

Abstract

Implementation of an enzymatic biofuel cell-based wearable device for the self-powered monitoring of dynamic biomarkers in interstitial fluid is crucial for precision medicine. Such devices are mainly limited by unimpaired immobilization and electron transformation of enzymes on electrode. Here, a gel microneedles bioelectrode utilized is designed by interfacial enzymatic polymerization from the aligned carbon fibers for initiating rigid gel shell array on surface, ensuring intact encapsulation of three oxidases with efficient substrate osmosis. Carbon nanotubes are employed to bridge each carbon fiber with the oxidase, accelerating the electrons transfer from active center of enzyme to external circuit. This strategy, which achieves a maximum power density of 1.98 mW cm at 20 mm glucose as biofuel cell, with glucose detection limits as low as 0.2 mm. Similarly, the detection limits for lactic acid and uric acid can be as low as 0.2 and 0.05 mm. Validation in diabetic rats with the integration of data capture and an AI-assisted analyst system, enables precise detection of stimuli, such as food intake and exercise, allowing for the accurate prediction of biomarker dynamics in the next 20 min. This integrated system marks a significant stride toward the realization of truly personalized and responsive healthcare solutions.

摘要

基于酶生物燃料电池的可穿戴设备用于间质液中动态生物标志物的自供电监测对精准医学至关重要。此类设备主要受限于酶在电极上的无损固定和电子转移。在此,通过界面酶聚合从排列的碳纤维设计出一种凝胶微针生物电极,用于在表面引发刚性凝胶壳阵列,确保三种氧化酶的完整封装及高效底物渗透。采用碳纳米管将每根碳纤维与氧化酶相连,加速电子从酶的活性中心转移至外部电路。此策略作为生物燃料电池在以20 mM葡萄糖为燃料时实现了1.98 mW cm的最大功率密度,葡萄糖检测限低至0.2 mM。同样,乳酸和尿酸的检测限可低至0.2和0.05 mM。通过集成数据采集和人工智能辅助分析系统在糖尿病大鼠中进行验证,能够精确检测食物摄入和运动等刺激,从而准确预测未来20分钟内生物标志物的动态变化。这种集成系统朝着实现真正个性化和响应式医疗保健解决方案迈出了重要一步。

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