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Nano Research 2023, 16(9): 11667-11673 https://doi.org/10.1007/s12274-023-5778-8
Research Article | Issue | Published: 27 May 2023

A time sequential microfluid sensor with Tesla valve channels

Show Author's Information Pengcheng Zhao1,  Haobin Wang1,  Yaozheng Wang1,  Wei Zhao2,  Mengdi Han3,  Haixia Zhang1( )
National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
Department of Cardiology and Institute of Vascular Medicine, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing 100191, China
Department of Biomedical Engineering College of Future Technology, Peking University, Beijing 100871, China
Keywords:
uric acid, time sequential sensing, Tesla valves, laser engraving technology
Topics:
Wearable technology
Cite this article:
Zhao P, Wang H, Wang Y, et al. A time sequential microfluid sensor with Tesla valve channels. Nano Research, 2023, 16(9): 11667-11673. https://doi.org/10.1007/s12274-023-5778-8
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Abstract Full text Electronic supplementary material About this article

The concentration of biomarkers in sweat can be used to evaluate human health, making efficient sweat sensing a focus of research. While flow channel design is often used to detect sweat velocity, it is rarely incorporated into the sensing of biomarkers, limiting the richness of sensing results. In this study, we report a time sequential sensing scheme for uric acid in sweat through a sequential design of Tesla valve channels. Graphene electrodes for detecting uric acid and directional Tesla valve flow channels were fabricated using laser engraving technology to realize time sequential sensing. The performance of the channels was verified through simulation. The 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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Abstract
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Electronic supplementary material
About this article

A time sequential microfluid sensor with Tesla valve channels

Show Author's information Pengcheng Zhao1, Haobin Wang1, Yaozheng Wang1, Wei Zhao2, Mengdi Han3, Haixia Zhang1( )
National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
Department of Cardiology and Institute of Vascular Medicine, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Beijing 100191, China
Department of Biomedical Engineering College of Future Technology, Peking University, Beijing 100871, China

Abstract

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

Keywords: uric acid, time sequential sensing, Tesla valves, laser engraving technology

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Publication history
Copyright
Acknowledgements

Publication history

Received: 31 January 2023
Revised: 06 April 2023
Accepted: 25 April 2023
Published: 27 May 2023
Issue date: September 2023

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This work was supported by the National Key R&D Program of China (No. 2018YFA0108100) and 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).

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