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惯性微流控技术在高通量细胞分析和检测中的应用:综述。

Inertial microfluidics for high-throughput cell analysis and detection: a review.

机构信息

School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China.

出版信息

Analyst. 2021 Oct 11;146(20):6064-6083. doi: 10.1039/d1an00983d.

DOI:10.1039/d1an00983d
PMID:34490431
Abstract

Since it was first proposed in 2007, inertial microfluidics has been extensively studied in terms of theory, design, fabrication, and application. In recent years, with the rapid development of microfabrication technologies, a variety of channel structures that can focus, concentrate, separate, and capture bioparticles or fluids have been designed and manufactured to extend the range of potential biomedical applications of inertial microfluidics. Due to the advantages of high throughput, simplicity, and low device cost, inertial microfluidics is a promising candidate for rapid sample processing, especially for large-volume samples with low-abundance targets. As an approach to cellular sample pretreatment, inertial microfluidics has been widely employed to ensure downstream cell analysis and detection. In this review, a comprehensive summary of the application of inertial microfluidics for high-throughput cell analysis and detection is presented. According to application areas, the recent advances can be sorted into label-free cell mechanical phenotyping, sheathless flow cytometric counting, electrical impedance cytometer, high-throughput cellular image analysis, and other methods. Finally, the challenges and prospects of inertial microfluidics for cell analysis and detection are summarized.

摘要

自 2007 年首次提出以来,惯性微流控技术在理论、设计、制造和应用等方面得到了广泛的研究。近年来,随着微纳制造技术的飞速发展,设计和制造了各种可以聚焦、浓缩、分离和捕获生物颗粒或流体的通道结构,以扩展惯性微流控在潜在生物医学应用中的范围。由于具有高通量、简单和设备成本低的优点,惯性微流控是快速样品处理的有前途的候选者,特别是对于大体积、低丰度靶标的样品。作为细胞样品预处理的一种方法,惯性微流控已被广泛用于确保下游的细胞分析和检测。在本文中,全面总结了惯性微流控在高通量细胞分析和检测中的应用。根据应用领域,可将最近的进展分为无标记细胞力学表型分析、无鞘流场细胞计数、电阻抗细胞仪、高通量细胞图像分析和其他方法。最后,总结了惯性微流控在细胞分析和检测方面的挑战和前景。

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