Fluid Viscoelasticity Drives Self-Assembly of Particle Trains in a Straight Microfluidic Channel

Giudice, Francesco Del; D’Avino, Gaetano; Greco, Francesco; Maffettone, Pier Luca; Shen, Amy Q.

doi:10.1103/physrevapplied.10.064058

Cited by 45 publications

(138 citation statements)

References 52 publications

(48 reference statements)

Supporting

Mentioning

115

Contrasting

Order By: Relevance

“…To date, most literature related to viscoelastic flow in microfluidic channels lies in the exploration of particle focusing and the underlying mechanisms. While single position focusing holds great potential for applications such as flow cytometry 167 , it might be deemed less useful in separation applications because it is not easy to differentiate particles due to a single focusing position. Examples of recent applications of viscoelastic microfluidics are highlighted in Fig.…”

Section: Applications Of Viscoelastic Microfluidicsmentioning

confidence: 99%

Viscoelastic microfluidics: progress and challenges

2020

View full text Add to dashboard Cite

The manipulation of cells and particles suspended in viscoelastic fluids in microchannels has drawn increasing attention, in part due to the ability for single-stream three-dimensional focusing in simple channel geometries. Improvement in the understanding of non-Newtonian effects on particle dynamics has led to expanding exploration of focusing and sorting particles and cells using viscoelastic microfluidics. Multiple factors, such as the driving forces arising from fluid elasticity and inertia, the effect of fluid rheology, the physical properties of particles and cells, and channel geometry, actively interact and compete together to govern the intricate migration behavior of particles and cells in microchannels. Here, we review the viscoelastic fluid physics and the hydrodynamic forces in such flows and identify three pairs of competing forces/effects that collectively govern viscoelastic migration. We discuss migration dynamics, focusing positions, numerical simulations, and recent progress in viscoelastic microfluidic applications as well as the remaining challenges. Finally, we hope that an improved understanding of viscoelastic flows in microfluidics can lead to increased sophistication of microfluidic platforms in clinical diagnostics and biomedical research.

show abstract

Section: Applications Of Viscoelastic Microfluidicsmentioning

confidence: 99%

Viscoelastic microfluidics: progress and challenges

2020

View full text Add to dashboard Cite

show abstract

“…Adapted by permission from Springer Nature: Microfluidics and Nanofluidics: Numerical simulations on the dynamics of a particle pair in a viscoelastic fluid in a microchannel: effect of rheology, particle shape, and confinement, D'Avino et al, 99 Copyright 2019. b) and c) Visualization of particle microstructure and interparticle distance distributions for a suspension of polystyrene particles in a shear-thinning solution of 1% wt hyaluronic acid in PBS at De = 31 and different volume fractions (b) and at ϕ = 0.6% and different Deborah numbers (c). Reproduced from Del Giudice et al, 100 Copyright 2018, American Physical Society. d) (Left) Sketch of the repulsive force between two particles in a viscoelastic fluid for a sufficiently high Deborah number.…”

Section: Viscoelastic Orderingmentioning

confidence: 99%

“…Thus, the displaced sphere moves toward the leading one and a pair is formed (fourth panel). Reprinted with permission from Del Giudice et al, 100 Physical Review Applied, 10, 064058, 2018 Copyright (2018) by the American Physical Society. e) Schematic illustration of the microfluidic channel based on an array of swirl mixing channels.…”

Section: Viscoelastic Orderingmentioning

confidence: 99%

Microfluidic formation of crystal-like structures

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…to monitor the onset of particle trains, which have several microfluidic applications. 45 An electrical estimate V of particle velocity is obtained from the signal I P as follows:…”

Section: Multiparametric Impedance-based Characterizationmentioning

confidence: 99%