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A time sequential microfluid sensor with Tesla valve channels

作     者:Pengcheng Zhao Haobin Wang Yaozheng Wang Wei Zhao Mengdi Han Haixia Zhang Pengcheng Zhao;Haobin Wang;Yaozheng Wang;Wei Zhao;Mengdi Han;Haixia Zhang

作者机构:National Key Laboratory of Science and Technology on Micro/Nano FabricationBeijing Advanced Innovation Center for Integrated CircuitsSchool of Integrated CircuitsPeking UniversityBeijing 100871China Department of Cardiology and Institute of Vascular MedicineNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesKey Laboratory of Molecular Cardiovascular ScienceMinistry of EducationBeijing Key Laboratory of Cardiovascular Receptors ResearchPeking University Third HospitalBeijing 100191China Department of Biomedical Engineering College of Future TechnologyPeking UniversityBeijing 100871China 

出 版 物:《Nano Research》 (纳米研究(英文版))

年 卷 期:2023年第16卷第9期

页      面:11667-11673页

核心收录:

学科分类:080202[工学-机械电子工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 0802[工学-机械工程] 

基  金:supported by the National Key R&D Program of China(No.2018YFA0108100) the National Natural Science Foundation of China(No.62104009) Experiments on human sweat were conducted in accordance with the approved protocol from the institutional review board at Peking University Third Hospital,Beijing,China(No.M2021610) 

主  题:time sequential sensing uric acid Tesla valves laser engraving technology 

摘      要:The concentration of biomarkers in sweat can be used to evaluate human health,making efficient sweat sensing a focus of *** flow channel design is often used to detect sweat velocity,it is rarely incorporated into the sensing of biomarkers,limiting the richness of sensing *** this study,we report a time sequential sensing scheme for uric acid in sweat through a sequential design of Tesla valve *** electrodes for detecting uric acid and directional Tesla valve flow channels were fabricated using laser engraving technology to realize time sequential *** performance of the channels was verified through *** time sequential detection of uric acid concentration in sweat can help researchers improve the establishment of human health management systems through flexible wearable devices.

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