Self-Powered Glucose Sensing with Cu-BDC/rGO Heterostructure: Ultra-Selective, Highly Sensitive, and IoT-Enabled Real-Time Monitoring

石墨烯 生物传感器 纳米技术 可穿戴计算机 电容 化学 纳米复合材料 检出限 氧化物 超级电容器 连续血糖监测 可穿戴技术 灵敏度(控制系统) 导电体 传输(电信) 生物相容性材料 纳米结构 生物分子 纳米颗粒 持续监测 电导率
作者
Blessy Rebecca Paul Nagarajan,Ajay Rakkesh Rajendran
出处
期刊:Analytical Chemistry [American Chemical Society]
标识
DOI:10.1021/acs.analchem.5c05857
摘要

The advancement of flexible, wearable glucose sensors has significantly improved continuous glucose monitoring systems. However, their long-term, uninterrupted operation requires integrated self-powered functionality. In this work, we present a multifunctional nanocomposite - Cu-BDC/rGO - synthesized by combining a copper-based metal-organic framework (Cu-BDC) with reduced graphene oxide (rGO). The Cu-BDC contributes a high surface area, abundant active sites, and intrinsic electrocatalytic activity, while rGO imparts excellent electrical conductivity and mechanical flexibility. Together, these synergistic properties of Cu-BDC and rGO enable superior nonenzymatic glucose sensing performance, achieving a remarkable sensitivity of 7379.8 μA mM-1 cm-2 and a low detection limit of 0.49 μM. Beyond sensing, the nanocomposite also delivers excellent supercapacitive behavior, exhibiting a specific capacitance of 336 F g-1 at 1 A g-1 and retaining 80.42% of its capacitance after 2000 cycles with 90.7% Coulombic efficiency. To demonstrate practical utility, a proof-of-concept self-powered wearable device was developed using the Cu-BDC/rGO composite, capable of real-time sweat glucose monitoring directly from glucose oxidation without external batteries. Further demonstration of real-time wireless data transmission to a mobile device was performed, establishing its remote applicability in continuous healthcare monitoring. This study highlights the potential of multifunctionality of Cu-BDC/rGO nanostructures in enabling next-generation biosensing platforms that seamlessly integrate energy harvesting, storage, and sensing capabilities, paving the way for autonomous, IoT-enabled, personalized digital healthcare systems.
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