Literature DB >> 28783259

Anticipating Cutoff Diameters in Deterministic Lateral Displacement (DLD) Microfluidic Devices for an Optimized Particle Separation.

Eloise Pariset1, Catherine Pudda1, François Boizot1, Nicolas Verplanck1, Jean Berthier1, Aurélie Thuaire1, Vincent Agache1.   

Abstract

Deterministic lateral displacement (DLD) devices enable to separate nanometer to micrometer-sized particles around a cutoff diameter, during their transport through a microfluidic channel with slanted rows of pillars. In order to design appropriate DLD geometries for specific separation sizes, robust models are required to anticipate the value of the cutoff diameter. So far, the proposed models result in a single cutoff diameter for a given DLD geometry. This paper shows that the cutoff diameter actually varies along the DLD channel, especially in narrow pillar arrays. Experimental and numerical results reveal that the variation of the cutoff diameter is induced by boundary effects at the channel side walls, called the wall effect. The wall effect generates unexpected particle trajectories that may compromise the separation efficiency. In order to anticipate the wall effect when designing DLD devices, a predictive model is proposed in this work and has been validated experimentally. In addition to the usual geometrical parameters, a new parameter, the number of pillars in the channel cross dimension, is considered in this model to investigate its influence on the particle trajectories.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  deterministic lateral displacement; intermediary trajectory; multiple critical diameters; nanometer and micrometer-sized particle separation; numerical model

Year:  2017        PMID: 28783259     DOI: 10.1002/smll.201701901

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  6 in total

Review 1.  Geometric structure design of passive label-free microfluidic systems for biological micro-object separation.

Authors:  Hao Tang; Jiaqi Niu; Han Jin; Shujing Lin; Daxiang Cui
Journal:  Microsyst Nanoeng       Date:  2022-06-06       Impact factor: 8.006

2.  Deep Learning-Enabled Label-Free On-Chip Detection and Selective Extraction of Cell Aggregate-Laden Hydrogel Microcapsules.

Authors:  Alisa M White; Yuntian Zhang; James G Shamul; Jiangsheng Xu; Elyahb A Kwizera; Bin Jiang; Xiaoming He
Journal:  Small       Date:  2021-04-25       Impact factor: 15.153

3.  Separation of Biological Particles in a Modular Platform of Cascaded Deterministic Lateral Displacement Modules.

Authors:  Eloise Pariset; Charlotte Parent; Yves Fouillet; Boizot François; Nicolas Verplanck; Frédéric Revol-Cavalier; Aurélie Thuaire; Vincent Agache
Journal:  Sci Rep       Date:  2018-12-10       Impact factor: 4.379

Review 4.  Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics.

Authors:  Axel Hochstetter
Journal:  Micromachines (Basel)       Date:  2020-04-29       Impact factor: 2.891

Review 5.  Progress of Microfluidic Continuous Separation Techniques for Micro-/Nanoscale Bioparticles.

Authors:  Se-Woon Choe; Bumjoo Kim; Minseok Kim
Journal:  Biosensors (Basel)       Date:  2021-11-18

6.  Purification of complex samples: Implementation of a modular and reconfigurable droplet-based microfluidic platform with cascaded deterministic lateral displacement separation modules.

Authors:  Eloise Pariset; Catherine Pudda; François Boizot; Nicolas Verplanck; Frédéric Revol-Cavalier; Jean Berthier; Aurélie Thuaire; Vincent Agache
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

  6 in total

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