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

• Published in: Analytical chemistry (Washington) 2024-10, Vol.96 (42), p.16676-16685
• Main Authors: Mi, Ziyi, Xia, Youyuan, Dong, Huo, Shen, Yuhang, Feng, Ziyou, Hong, Yawen, Zhu, Haoyu, Yin, Binfeng, Ji, Zhengping, Xu, Qin, Hu, Xiaoya, Shu, Yun
• Format: Article
• Language: English
• Subjects: Carbon; Chemical sensors; Deformation effects; Deformation wear; Electrical measurement; Electrochemical analysis; Electrochemistry; Electrolytes; Evaporation; Food contamination; Mechanical properties; Metabolites; Metal-organic frameworks; Microfluidics; Multiplexing; Nanorods; Oxidation; Porosity; Potentiometric analysis; Real time; Selectivity; Sensors; Sweat; Technology assessment; Three dimensional analysis; Three dimensional printing; Uric acid; Wearable technology
• ISSN: 0003-2700; 1520-6882; 1520-6882
• DOI: 10.1021/acs.analchem.4c02950

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.