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Label-Free Multitarget Separation of Particles and Cells under Flow Using Acoustic, Electrophoretic, and Hydrodynamic Forces

机译:使用声学,电泳和流体动力的流量的无标记多元分离颗粒和细胞

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摘要

Multiplex separation of mixed biological samples is essential in a considerable portion of biomedical research and clinical applications. An automated and operator-independent process for the separation of samples is highly sought after. There is a significant unmet need for methods that can perform fractionation of small volumes of multicomponent mixtures. Herein, we design an integrated chip that combines acoustic and electric fields to enable efficient and label-free separation of multiple different cells and particles under flow. To facilitate the connection of multiple sorting mechanisms in tandem, we investigate the electroosmosis (EO)-induced deterministic lateral displacement (DLD) separation in a combined pressure- and DC field-driven flow and exploit the combination of the bipolar electrode (BPE) focusing and surface acoustic wave (SAW) sorting modules. We successfully integrate four sequential microfluidic modules for multitarget separation within a single platform: (i) sorting particles and cells relying on the size and surface charge by adjusting the flow rate and electric field using a DLD array; (ii) alignment of cells or particles within a microfluidic channel by a bipolar electrode; (iii) separation of particles based on compressibility and density by the acoustic force; and (iv) separation of viable and nonviable cells using dielectric properties via the dielectrophoresis (DEP) force. As a proof of principle, we demonstrate the sorting of multiple cell and particle types (polystyrene (PS) particles, oil droplets, and viable and nonviable yeast cells) with high efficiency. This integrated microfluidic platform combines multiple functional components and, with its ability to noninvasively sort multiple targeted cells in a label-free manner relying on different properties, is compatible with high-definition imaging, showing great potential in diverse diagnostic and analysis applications.
机译:混合生物样品的多重分离在生物医学研究和临床应用的相当一部分中是必不可少的。一种自动化且独立于操作员的样品分离过程备受追捧。对于能够对小体积的多组分混合物进行分馏的方法,有很大的需求尚未得到满足。在此,我们设计了一种集成芯片,将声场和电场结合起来,以实现流动中多个不同细胞和颗粒的高效无标记分离。为了促进多个分拣机制的串联连接,我们研究了在压力和直流场驱动的组合流中电渗(EO)诱导的确定性横向位移(DLD)分离,并利用双极电极(BPE)聚焦和表面声波(SAW)分拣模块的组合。我们在一个平台上成功地集成了四个用于多目标分离的顺序微流控模块:(i)通过使用DLD阵列调节流速和电场,根据大小和表面电荷对颗粒和细胞进行分类;(ii)通过双极电极使微流控通道内的细胞或颗粒对齐;(iii)基于压缩性和密度通过声力分离颗粒;(iv)通过介电电泳(DEP)力利用介电特性分离活细胞和不活细胞。作为原理证明,我们展示了多种细胞和颗粒类型(聚苯乙烯(PS)颗粒、油滴、活酵母细胞和不活酵母细胞)的高效分选。该集成微流控平台结合了多种功能组件,并能够根据不同的特性以无标签方式对多个靶细胞进行无创分类,与高清成像兼容,在多种诊断和分析应用中显示出巨大潜力。

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  • 来源
    《Analytical chemistry》 |2021年第21期|共12页
  • 作者单位

    Univ Penn Dept Chem &

    Biomol Engn Philadelphia PA 19104 USA;

    Univ Penn Dept Chem &

    Biomol Engn Philadelphia PA 19104 USA;

    Harbin Inst Technol Sch Mechatron Engn Harbin 150001 Heilongjiang Peoples R China;

    Harbin Inst Technol Sch Mechatron Engn Harbin 150001 Heilongjiang Peoples R China;

    Univ Penn Dept Chem &

    Biomol Engn Philadelphia PA 19104 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
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