Literature DB >> 33905543

Mixing characteristics of a bubble mixing microfluidic chip for genomic DNA extraction based on magnetophoresis: CFD simulation and experiment.

Lin Sun1, Muhammad K Siddique1, Lei Wang2, Songjing Li1.   

Abstract

Mixing a small amount of magnetic beads and regents with large volume samples evenly in microcavities of a microfluidic chip is always the key step for the application of microfluidic technology in the field of magnetophoresis analysis. This article proposes a microfluidic chip for DNA extraction by magnetophoresis, which relies on bubble rising to generate turbulence and microvortices of various sizes to mix magnetic beads with samples uniformly. The construction and working principle of the microfluidic chip are introduced. CFD simulations are conducted when magnetic beads and samples are irritated by the generation of gas bubbles with the variation of supply pressures. The whole mixing process in the microfluidic chip is observed through a high-speed camera and a microfluidic system when the gas bubbles are generated continuously. The influence of supply pressure on the mixing characteristics of the microfluidic chip is investigated and discussed with both simulation and experiments. Compared with magnetic mixing, bubble mixing can avoid the magnetic beads gather phenomenon caused by magnetic forces and provide a rapid and high efficient solution to realize mixing small amount of regents in large volume samples in a certain order without complex moving structures and operations in a chip. Two applications of mixing with the proposed microfluidic chip are also carried out and discussed.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  Bubble mixing; CFD simulation; Magnetophoresis; Microfluidic chip

Mesh:

Substances:

Year:  2021        PMID: 33905543     DOI: 10.1002/elps.202000295

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  3 in total

1.  The enhancement of DNA fragmentation in a bench top ultrasonic water bath with needle-induced air bubbles: Simulation and experimental investigation.

Authors:  Lin Sun; Yang Liu; Thomas Lehnert; Martin A M Gijs; Songjing Li
Journal:  Biomicrofluidics       Date:  2022-07-28       Impact factor: 3.258

2.  Automatic feedback control by image processing for mixing solutions in a microfluidic device.

Authors:  I García; L A Martínez; A Zanini; D Raith; J Boedecker; M G Stingl; B Lerner; M S Pérez; R Mertelsmann
Journal:  Biomicrofluidics       Date:  2022-10-10       Impact factor: 3.258

Review 3.  Microfluidics-based strategies for molecular diagnostics of infectious diseases.

Authors:  Xin Wang; Xian-Zhe Hong; Yi-Wei Li; Ying Li; Jie Wang; Peng Chen; Bi-Feng Liu
Journal:  Mil Med Res       Date:  2022-03-18
  3 in total

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