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Experimental and theoretical study on the microparticle trapping and release in a deformable nano-sieve channel.
Chen, Xinye; Falzon, Luke; Zhang, Jie; Zhang, Xiaohui; Wang, Ruo-Qian; Du, Ke.
Afiliação
  • Chen X; Department of Microsystems Engineering, Rochester Institute of Technology, Rochester NY 14623, United States of America. Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States of America.
Nanotechnology ; 31(5): 05LT01, 2020 Jan 24.
Article em En | MEDLINE | ID: mdl-31100734
ABSTRACT
Deformable microfluidics may be potentially used in cell manipulation, optical sensing, and imaging applications, and have drawn considerable scientific interests in the recent past. The excellent tunability of deformable microfluidic devices can provide controllable capture, deposition, and target release. We demonstrated a one-dimensional nano-sieve device to capture microparticles from suspensions. Size-selective capturing and release of micro- and nanoparticles was achieved by simply adjusting the flow rate. Almost all the microparticles were trapped in the nano-sieve device at a flow rate of 20 µl min-1. Increasing the flow rate induces a hydrodynamic deformation of the roof of the compliant device and allows most of the microparticles to pass through the channel. We also established a theoretical model based on computational fluid dynamics to reveal the relationship of the hydrodynamically induced deformation, channel dimensions, and capture efficiency that supports and rationalizes the experimental data. We have predicted the capture efficiency of micro-and nanoparticles in a nano-sieve device with various geometries and flow rates. This study may be important to the optimization of next generation deformable microfluidics for efficient micro- and nanostructure manipulations.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article