4.1 Review

Thermomicrofluidics for biosensing applications

期刊

VIEW
卷 2, 期 6, 页码 -

出版社

WILEY
DOI: 10.1002/VIW.20200148

关键词

biomolecules; bioparticles; detection; microfluidics; thermophoresis

资金

  1. National Natural Science Foundation of China [22025402, 91959101, 21904028]
  2. Beijing Talents Fund [2018000021223ZK44]
  3. Chinese Academy of Sciences [YJKYYQ20180055, YJKYYQ20190068, ZDBS-LY-SLH025]

向作者/读者索取更多资源

Thermophoresis in microfluidic devices allows for precise manipulation and measurement of biomolecules and cells in a label-free manner, providing a promising avenue for biosensing. It can be used for various biosensing applications such as monitoring biomolecular interactions, detecting nucleic acids, and profiling extracellular vesicles, offering insights into disease diagnostics and physiopathological processes. Current challenges and future directions in thermomicrofluidic detection are also discussed.
The accurate detection of biological systems containing biomolecules and bioparticles is increasingly important in diverse research fields, particularly in analytical and biological chemistry. Implementing thermophoresis in microfluidic devices (thermomicrofluidics) enables the manipulation and measurement of biomolecules and bioparticles in a label-free and high-precision manner, providing a promising avenue for biosensing. This review presents fundamentals of thermophoresis and its coupling with other thermal-induced physical phenomena in the microfluidic setups. We overview the capabilities of thermomicrofluidics for diverse biosensing applications such as monitoring of biomolecular interactions, detection of nucleic acids, profiling of extracellular vesicles, and manipulation of cells. Biosensing by thermomicrofluidics provides insights into physiopathological processes and disease diagnostics. Current challenges and further directions of thermomicrofluidic detection are discussed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据