可穿戴计算机
休息(音乐)
材料科学
Atom(片上系统)
纳米技术
化学工程
光电子学
计算机科学
声学
嵌入式系统
物理
工程类
作者
Yong Zhang,Changjun Hou,Peng Zhao,Xin Zeng,Yiyi Liu,Jian Chen,Yifan Gao,Cuncun Wang,Jingzhou Hou,Danqun Huo
标识
DOI:10.1021/acsami.3c08978
摘要
Resting sweat analysis could provide unique insight into the metabolic levels of physiological and pathological states. However, the low secretion rate of resting sweat and the low concentration of metabolic molecules pose challenges for the development of noninvasive wearable sensors. Here, we demonstrated a wearable patch for the precise analysis of uric acid at rest. Fe single-atom nanozymes (FeSAs) with excellent electrocatalytic activity were used to develop a sensor for selective catalysis of uric acid (UA, 1-425 μM), and the catalytic mechanism of UA was later explored by density functional theory. In addition, polyaniline was integrated into the wearable patch for pH detection; thus, accurate analysis of sweat UA molecules can be achieved by pH calibration. Then, we explored the possibility of collecting resting sweat with different ratios of agarose hydrogels to reduce the sweat accumulation time. Finally, the possibility of a wearable patch for accurate UA detection in volunteer sweat samples was experimentally verified. We believe that our work provides novel insights and ideas for the analysis of resting sweat using wearable devices, further driving advancements in the field of personalized medicine.
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