生物传感器
原位
多路复用
材料科学
尿
泌尿系统
可用性
计算机科学
纳米技术
灵敏度(控制系统)
生物医学工程
信号(编程语言)
人类健康
传输(电信)
无线
医疗保健系统
尿酸
代谢组学
计算生物学
协议(科学)
作者
Luyang Zhang,Ziran Wang,Zaiyu Zhang,Yu-Ting Huang,Zhongjing Ren,Haipeng Wang,Duan Wu,Chao Gai,Chen Wang,Yang Zhang,Bomi Gweon,Rui You,Peng Yan
标识
DOI:10.1002/adfm.202520270
摘要
Abstract Metabolic health is a major global health challenge associated with increased risks of disability, cancers, premature deaths, and a negative impact on patient quality of life. Precise monitoring of biomarkers in human urine, including metabolites and electrolytes, provides crucial guidance for treatment. While rich impurities in urine will induce cross‐interference of the biosensors array, making continuous and reliable analysis of multiple biomarkers challenging. To address these issues, a multiplexed and in situ self‐calibrated biosensing system (MSSCBS) is proposed with remarkably high stability and sensitivity in untreated urine samples. These desirable characteristics are achieved through the design of multiple electrochemical channels with self‐assembled nanostructure and an in situ bio‐signals self‐calibration method of dynamic normalized least mean squares. MSSCBS delivers reliable sensitivities (e.g., 0.04 µA/µ m for uric acid), a wide linear range (e.g., 0.2–23.6 m m for glucose), and long‐term stability (>20 days) of urinary impurities. Combination with a customized circuit for signal processing and wireless data transmission to mobiles supports convenient and long‐term continuous monitoring of urine. This study validates MSSCBS's usability in assessing metabolic states in healthy participants and patients with diabetes, kidney disease, showing the potential of at‐home biosensing platform for healthcare applications.
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