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基于 MOF 衍生的六方棒状多孔碳的微流控可穿戴电化学传感器用于汗液代谢物和电解质分析。

Microfluidic Wearable Electrochemical Sensor Based on MOF-Derived Hexagonal Rod-Shaped Porous Carbon for Sweat Metabolite and Electrolyte Analysis.

机构信息

School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, P. R. China.

School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, P. R. China.

出版信息

Anal Chem. 2024 Oct 22;96(42):16676-16685. doi: 10.1021/acs.analchem.4c02950. Epub 2024 Oct 11.

DOI:10.1021/acs.analchem.4c02950
PMID:39392225
Abstract

Wearable sensors enable the noninvasive continuous analysis of biofluid, which is of great importance for healthcare monitoring. In this work, a wearable sensor was seamlessly integrated with a microfluidic chip which was prepared by a three-dimensional printing technology for noninvasive and multiplexed analysis of metabolite and electrolytes in human sweat. The microfluidic chip could enable rapid sampling of sweat, which avoids the sweat evaporation and contamination. Using a Zn metal-organic framework as a sacrificial template, the hexagonal rod-shaped porous carbon nanorod (PCN) with high porosity, a large specific surface area, and excellent conductivity was synthesized and exhibited the robust electrocatalytic ability of uric acid (UA) oxidation. Therefore, the PCN-based sensor showed high sensitivity and good selectivity of UA with a wide linear range of 10-200 μM and a low detection limit of 4.13 μM. Meanwhile, the potentiometry-based ion-selective electrode was constructed for detection of pH and K, respectively, with good sensitivity, selectivity, reproducibility, and stability. In addition, the testing under different bending states demonstrated that mechanical deformation had little effect on the electrochemical performance of the wearable sensors. Furthermore, we evaluated the utility of the wearable sensor for multiplexed real-time analysis of UA, pH, and K in sweat during aerobic exercise, and the effect of the amount of consumed purine-rich foods on uric acid metabolite levels in sweat and urine was further investigated. The relationship between urine UA and sweat UA was obtained. Overall, this wearable sensor enables multiple electrolyte and metabolite analysis in different noninvasive biofluids, suggesting its potential application in personalized disease prevention.

摘要

可穿戴传感器能够实现对生物流体的非侵入式连续分析,这对于医疗保健监测具有重要意义。在这项工作中,我们将可穿戴传感器与微流控芯片无缝集成,该微流控芯片采用三维打印技术制备,可用于非侵入式和多路复用分析人体汗液中的代谢物和电解质。微流控芯片能够实现汗液的快速采样,避免了汗液蒸发和污染。我们使用 Zn 金属有机框架作为牺牲模板,合成了具有高孔隙率、大比表面积和优异导电性的六方棒状多孔碳纳米棒(PCN),并表现出尿酸(UA)氧化的强电催化能力。因此,基于 PCN 的传感器对 UA 具有高灵敏度和良好的选择性,线性范围为 10-200 μM,检测限低至 4.13 μM。同时,构建了基于电位法的离子选择性电极,分别用于检测 pH 值和 K 值,具有良好的灵敏度、选择性、重现性和稳定性。此外,在不同弯曲状态下的测试表明,机械变形对可穿戴传感器的电化学性能几乎没有影响。进一步,我们评估了可穿戴传感器在有氧运动中对汗液中 UA、pH 值和 K 进行多路实时分析的实用性,并进一步研究了消耗富含嘌呤的食物量对汗液和尿液中尿酸代谢物水平的影响。获得了尿液 UA 与汗液 UA 之间的关系。总体而言,该可穿戴传感器能够在不同的非侵入式生物流体中进行多种电解质和代谢物分析,表明其在个性化疾病预防方面具有应用潜力。

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