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Smart Cell Culture Systems: Integration of Sensors and Actuators into Microphysiological Systems

机译:智能电池培养系统:将传感器和致动器的整合到微生物系统中

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摘要

Technological advances in microfabrication techniques in combination with organotypic cell and tissue models have enabled the realization of microphysiological systems capable of recapitulating aspects of human physiology in vitro with great fidelity. Concurrently, a number of analysis techniques has been developed to probe and characterize these model systems. However, many assays are still performed off-line, which severely compromises the possibility of obtaining real-time information from the samples under examination, and which also limits the use of these platforms in high-throughput analysis. In this review, we focus on sensing and actuation schemes that have already been established or offer great potential to provide in situ detection or manipulation of relevant cell or tissue samples in microphysiological platforms. We will first describe methods that can be integrated in a straightforward way and that offer potential multiplexing and/or parallelization of sensing and actuation functions. These methods include electrical impedance spectroscopy, electrochemical biosensors, and the use of surface acoustic waves for manipulation and analysis of cells, tissue, and multicellular organisms. In the second part, we will describe two sensor approaches based on surface-plasmon resonance and mechanical resonators that have recently provided new characterization features for biological samples, although technological limitations for use in high-throughput applications still exist.
机译:微型加工技术与有机型细胞和组织模型组合的技术进步使得能够实现能够在体外重新构建人体生理学方面的微生物学系统。同时,已经开发了许多分析技术来探测和表征这些模型系统。然而,许多测定仍然在离线上进行,这严重损害了从考试中的样本获得实时信息的可能性,并且还限制了这些平台在高通量分析中的使用。在这篇综述中,我们专注于已经建立的感应和致动计划,或者提供巨大潜力,以便在语地检测或操纵微生物学平台中的相关细胞或组织样本。我们将首先描述可以以直接的方式集成的方法,并且提供感测和致动功能的电位复用和/或并行化。这些方法包括电阻抗光谱,电化学生物传感器和表面声波用于操纵和分析细胞,组织和多细胞生物的方法。在第二部分中,我们将基于表面等离子体谐振和机械谐振器描述两个传感器方法,该方法最近为生物样本提供了新的表征特征,尽管仍然存在于高吞吐量应用的技术限制。

著录项

  • 来源
    《ACS Chemical Biology》 |2018年第7期|共18页
  • 作者单位

    Department of Biosystems Science and Engineering Bio Engineering Laboratory ETH Zürich Basel Switzerland;

    Department of Biosystems Science and Engineering Bio Engineering Laboratory ETH Zürich Basel Switzerland;

    Department of Biosystems Science and Engineering Bio Engineering Laboratory ETH Zürich Basel Switzerland;

    Department of Biosystems Science and Engineering Bio Engineering Laboratory ETH Zürich Basel Switzerland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物化学;
  • 关键词

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