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Label-free microfluidic sorting of microparticles
Author(s) -
Jian Zhou,
Prithviraj Mukherjee,
Gao Hua,
Qiyue Luan,
Ian Papautsky
Publication year - 2019
Publication title -
apl bioengineering
Language(s) - English
Resource type - Journals
ISSN - 2473-2877
DOI - 10.1063/1.5120501
Subject(s) - microfluidics , computer science , sorting , automation , nanotechnology , microparticle , flow (mathematics) , process engineering , biochemical engineering , mechanical engineering , materials science , engineering , mechanics , physics , chemical engineering , programming language
Massive growth of the microfluidics field has triggered numerous advances in focusing, separating, ordering, concentrating, and mixing of microparticles. Microfluidic systems capable of performing these functions are rapidly finding applications in industrial, environmental, and biomedical fields. Passive and label-free methods are one of the major categories of such systems that have received enormous attention owing to device operational simplicity and low costs. With new platforms continuously being proposed, our aim here is to provide an updated overview of the state of the art for passive label-free microparticle separation, with emphasis on performance and operational conditions. In addition to the now common separation approaches using Newtonian flows, such as deterministic lateral displacement, pinched flow fractionation, cross-flow filtration, hydrodynamic filtration, and inertial microfluidics, we also discuss separation approaches using non-Newtonian, viscoelastic flow. We then highlight the newly emerging approach based on shear-induced diffusion, which enables direct processing of complex samples such as untreated whole blood. Finally, we hope that an improved understanding of label-free passive sorting approaches can lead to sophisticated and useful platforms toward automation in industrial, environmental, and biomedical fields.

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