使用串行控制的多重数字微流控技术及其在葡萄糖传感中的应用

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Xinyu Liu , Jinying Cai , Wenjia Wang , Yujuan Chai
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引用次数: 0

摘要

数字微流体技术(DMF)在体外诊断(IVD)中得到了广泛应用。与基于微加工的 DMF 相比,基于印刷电路板 (PCB) 的 DMF 更为经济,而且与现有的 IVD 仪器兼容。尽管如此,目前基于印刷电路板的 DMF 常常受到可同时控制的液滴数量的限制,影响了其吞吐量和作为护理点工具的应用。在这项工作中,我们构建了一个可同时控制多个基于 PCB 的 DMF 板的平台。首先开发了软件和硬件,然后进行了可靠性测试。对基于 PCB 的 DMF 进行了葡萄糖比色分析,证明了该平台的能力。这种基于印刷电路板的 DMF 通过同时操作多个平板实现了高通量,有可能为资源有限的环境提供低成本的护理点检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiplex digital microfluidics using serial controls and its applications in glucose sensing

Digital microfluidics (DMF) has found great applications in vitro diagnostics (IVD). Compared to the microfabrication-based DMF, printed circuit board (PCB)-based DMF is more economical and compatible with existing IVD instruments. Despite that, current PCB-based DMF is oftentimes limited by the available droplets that can be controlled simultaneously, compromising their throughput and applications as point-of-care tools. In this work, a platform that simultaneously controls multiple PCB-based DMF plates was constructed. The software and hardware were first developed, followed by the reliability tests. Colorimetric analysis of glucose was applied to the PCB-based DMF, demonstrating the capability of this platform. With the high throughput enabled by simultaneous operations of multiple plates, this PCB-based DMF can potentially allow point-of-care testing with low cost for resource-limited settings.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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