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两流腔式斜入射反射差分(OI-RD)生物传感器中流体置换分析。

Analysis of Fluid Replacement in Two Fluidic Chambers for Oblique-Incidence Reflectivity Difference (OI-RD) Biosensor.

机构信息

Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), School of Information Science and Technology, Fudan University, Shanghai 200433, China.

Department of Physics, University of California, One Shields Avenue, Davis, CA 95616, USA.

出版信息

Sensors (Basel). 2024 Mar 21;24(6):2000. doi: 10.3390/s24062000.

DOI:10.3390/s24062000
PMID:38544262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10974772/
Abstract

Optical biosensors have a significant impact on various aspects of our lives. In many applications of optical biosensors, fluidic chambers play a crucial role in facilitating controlled fluid delivery. It is essential to achieve complete liquid replacement in order to obtain accurate and reliable results. However, the configurations of fluidic chambers vary across different optical biosensors, resulting in diverse fluidic volumes and flow rates, and there are no standardized guidelines for liquid replacement. In this paper, we utilize COMSOL Multiphysics, a finite element analysis software, to investigate the optimal fluid volume required for two types of fluidic chambers in the context of the oblique-incidence reflectivity difference (OI-RD) biosensor. We found that the depth of the fluidic chamber is the most crucial factor influencing the required liquid volume, with the volume being a quadratic function of the depth. Additionally, the required fluid volume is also influenced by the positions on the substrate surface bearing samples, while the flow rate has no impact on the fluid volume.

摘要

光学生物传感器对我们生活的各个方面都有重大影响。在许多光学生物传感器的应用中,流动池在促进受控流体输送方面起着至关重要的作用。为了获得准确可靠的结果,实现完全的液体替换是至关重要的。然而,不同的光学生物传感器中流动池的结构有所不同,导致流动体积和流速也不同,并且没有用于液体替换的标准化指南。在本文中,我们使用 COMSOL Multiphysics 有限元分析软件,针对斜入射反射率差(OI-RD)生物传感器中的两种流动池类型,研究了所需的最佳流体体积。我们发现,流动池的深度是影响所需液体体积的最关键因素,体积是深度的二次函数。此外,所需的流体体积还受到承载样品的基底表面位置的影响,而流速对流体体积没有影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/5cf7d303d3e3/sensors-24-02000-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/c34878c50967/sensors-24-02000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/66ac0f233374/sensors-24-02000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/cd921e22770c/sensors-24-02000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/9ee8c0937bad/sensors-24-02000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/5cf7d303d3e3/sensors-24-02000-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/c34878c50967/sensors-24-02000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/66ac0f233374/sensors-24-02000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/cd921e22770c/sensors-24-02000-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/9ee8c0937bad/sensors-24-02000-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fbf/10974772/5cf7d303d3e3/sensors-24-02000-g005.jpg

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