Zhang Yong, Jin Changpeng, Wang Cuncun, Zeng Xin, Yang Mei, Hou Changjun, Huo Danqun
Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
Biosens Bioelectron. 2025 Mar 1;271:117001. doi: 10.1016/j.bios.2024.117001. Epub 2024 Dec 4.
Wearable sweat sensors offer a promising non-invasive approach for real-time physiological monitoring, with significant potential in personalized medicine. In this study, we present an innovative wearable patch designed for highly sensitive and accurate detection of uric acid (UA) in human sweat. The sensor integrates superior platinum-iron dual-atom catalysts (Pt/Fe DACs), developed based on iron single-atom catalysts (Fe SACs), to achieve selective and precise UA detection across a wide concentration range (6.25-1500 μM). To enhance the sensor's performance, a pH electrode based on polyaniline (PANI) is incorporated for reliable pH calibration. Density functional theory (DFT) calculations are used to explore the catalytic mechanism of UA detection and the synergistic interaction between Fe and Pt atoms in the catalyst, which improves sensor sensitivity. Additionally, we developed a microfluidic patch made of polydimethylsiloxane (PDMS) with enhanced hydrophilicity to facilitate efficient sweat collection. This work presents a valuable approach for advancing wearable sweat sensors for UA detection and offers a promising strategy for the application of wearable sensors in personalized health monitoring.
可穿戴汗液传感器为实时生理监测提供了一种很有前景的非侵入性方法,在个性化医疗中具有巨大潜力。在本研究中,我们展示了一种创新的可穿戴贴片,专为高灵敏度和准确检测人体汗液中的尿酸(UA)而设计。该传感器集成了基于铁单原子催化剂(Fe SACs)开发的优质铂 - 铁双原子催化剂(Pt/Fe DACs),以在宽浓度范围(6.25 - 1500 μM)内实现选择性和精确的UA检测。为提高传感器性能,引入了基于聚苯胺(PANI)的pH电极进行可靠的pH校准。密度泛函理论(DFT)计算用于探索UA检测的催化机制以及催化剂中Fe和Pt原子之间的协同相互作用,从而提高传感器灵敏度。此外,我们开发了一种由聚二甲基硅氧烷(PDMS)制成的具有增强亲水性的微流控贴片,以促进高效汗液收集。这项工作为推进用于UA检测的可穿戴汗液传感器提供了一种有价值的方法,并为可穿戴传感器在个性化健康监测中的应用提供了一种有前景的策略。