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Particle Separation: Anticipating Cutoff Diameters in Deterministic Lateral Displacement (DLD) Microfluidic Devices for an Optimized Particle Separation (Small 37/2017)
Author(s) -
Pariset Eloise,
Pudda Catherine,
Boizot François,
Verplanck Nicolas,
Berthier Jean,
Thuaire Aurélie,
Agache Vincent
Publication year - 2017
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201770201
Subject(s) - zigzag , sorting , microfluidics , displacement (psychology) , particle (ecology) , materials science , trajectory , cutoff , nanotechnology , tracking (education) , separation (statistics) , mechanics , physics , geometry , computer science , mathematics , algorithm , psychology , pedagogy , oceanography , quantum mechanics , astronomy , machine learning , geology , psychotherapist
Microfluidic deterministic lateral displacement separates different‐sized particles in slanted pillar arrays. Large particles are displaced by the pillars while smaller particles follow a zigzag trajectory. In article number 1701901 , Vincent Agache and co‐workers show that intermediate‐sized particles display a different trajectory mode, consisting of successive zigzag and displacement areas. Both experimental results and models are proposed to limit the intermediary mode and optimize the sorting efficiency.