Gao Weizhuo, Xu Hongcheng, Sun Xifeng, Zhao Yao, Sun Kailong, Lu Xiaoke, Zhang Jing, Zhang Chuanyu, Jing Weixuan, Sun Hao, Wei Xueyong
The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China; School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering at Xi'an Jiaotong University, Xi'an, 710049, China.
School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering at Xi'an Jiaotong University, Xi'an, 710049, China.
Biosens Bioelectron. 2025 Dec 1;289:117892. doi: 10.1016/j.bios.2025.117892. Epub 2025 Aug 15.
Uric acid (UA), a crucial biomarker for chronic metabolic disorders such as gout and hyperuricemia, necessitates non-invasive monitoring for effective disease management. However, wearable sensor for real-time UA detection face significant challenges due to the low UA concentration (<100 μM) in human sweat and the difficulty of multi-functional integration. Here, we developed an integrated wearable photo-electrochemical (PEC) sensor for UA detection in sweat. The sensor comprises iontophoresis electrodes, micro-channel, PEC detection unit and signal system, successfully integrating the functions including the sweat induction, sample collection, visible light amplified UA detection, as well as signal processing and wireless communication. With the ion-doping and Z-scheme heterojunction effect, the In doped ZnS/reduced graphene oxide/BiVO (ZIS/RGO/BVO) modified enzymatic working electrode facilitates the photo-generation and separation of the electron and holes, leading to an excellent PEC response under the visible light irradiation. The resultant sensor demonstrates exceptional performances with a sensitivity 280 μA mM·cm, a limit of detection (LOD) 0.23 μM (S/N = 3), and a broad linear range from 10 to 450 μM respectively. This integrated wearable sensor establishes a paradigm for sweat-based metabolic monitoring, showing remarkable potential for the personalized diagnosis of gout and hyperuricemia.
尿酸（UA）是痛风和高尿酸血症等慢性代谢紊乱的关键生物标志物，为有效管理疾病需要进行无创监测。然而，用于实时检测尿酸的可穿戴传感器面临重大挑战，这是由于人体汗液中尿酸浓度较低（<100 μM）以及多功能集成困难。在此，我们开发了一种用于汗液中尿酸检测的集成可穿戴光电化学（PEC）传感器。该传感器包括离子电渗电极、微通道、PEC检测单元和信号系统，成功集成了汗液诱导、样本采集、可见光增强尿酸检测以及信号处理和无线通信等功能。通过离子掺杂和Z型异质结效应，In掺杂的ZnS/还原氧化石墨烯/BiVO（ZIS/RGO/BVO）修饰的酶工作电极促进了光生电子和空穴的产生与分离，在可见光照射下产生优异的PEC响应。所得传感器表现出卓越性能，灵敏度为280 μA mM·cm，检测限（LOD）为0.23 μM（S/N = 3），线性范围分别为10至450 μM。这种集成可穿戴传感器为基于汗液的代谢监测建立了范例，在痛风和高尿酸血症的个性化诊断中显示出巨大潜力。
