Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nucleation of α-pinene oxidation products with sulfuric acid.

Environmental science: atmospheres·2026
Same author

Correction to "Thiolate DNAzymes on Gold Nanoparticles for Isothermal Amplification and Detection of Mesothelioma-derived Exosomal PD-L1 mRNA".

Analytical chemistry·2026
Same author

Concentration-Dependent Impact of Polystyrene Nanoplastic on Lung Surfactant Monolayer in Alveolar Fluid: A Molecular Dynamics Study.

The journal of physical chemistry. B·2026
Same author

Microfluidic Intracytoplasmic Sperm Injection (MICSI): A Novel Platform for Sperm Isolation, Selection, and Injection Into Oocytes.

Andrology·2026
Same author

Sperm DNA fragmentation and its influence on mammalian reproduction.

Nature reviews. Urology·2026
Same author

Suspension physics govern the multiscale dynamics of blood flow in sickle cell disease.

Science advances·2026
Same journal

Controlled encapsulation and droplet size prediction in two-step microfluidic double emulsions.

Lab on a chip·2026
Same journal

A particulate blood-mimicking fluid with physiological biconcave geometry for microscale hemorheology.

Lab on a chip·2026
Same journal

Multicellular sensor arrays fabricated by capillary stamping for pattern-based odor discrimination.

Lab on a chip·2026
Same journal

A real-time microfluidic surveillance system for multiplex detection of heavy metal contamination in wastewater.

Lab on a chip·2026
Same journal

Vision-guided parallel manipulation of cells with optoelectronic tweezers.

Lab on a chip·2026
Same journal

Review of nanofluidic mass transport systems: engineering through physicochemical fields and interfacial properties.

Lab on a chip·2026
See all related articles

Related Experiment Video

Updated: Dec 28, 2025

Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering
10:27

Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering

Published on: July 10, 2016

9.5K

Computational inertial microfluidics: a review.

Sajad Razavi Bazaz1, Ali Mashhadian2, Abbas Ehsani3

  • 1School of Biomedical Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia. majid.warkiani@uts.edu.au.

Lab on a Chip
|February 19, 2020
PubMed
Summary
This summary is machine-generated.

Computational fluid dynamics models are advancing the understanding of inertial focusing, a phenomenon crucial for particle manipulation in microfluidics. This review categorizes numerical methods for modeling particle migration in microchannels.

More Related Videos

Label-free Neutrophil Enrichment from Patient-derived Airway Secretion Using Closed-loop Inertial Microfluidics
07:37

Label-free Neutrophil Enrichment from Patient-derived Airway Secretion Using Closed-loop Inertial Microfluidics

Published on: June 7, 2018

6.7K
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.7K

Related Experiment Videos

Last Updated: Dec 28, 2025

Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering
10:27

Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering

Published on: July 10, 2016

9.5K
Label-free Neutrophil Enrichment from Patient-derived Airway Secretion Using Closed-loop Inertial Microfluidics
07:37

Label-free Neutrophil Enrichment from Patient-derived Airway Secretion Using Closed-loop Inertial Microfluidics

Published on: June 7, 2018

6.7K
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.7K

Area of Science:

  • Microfluidics
  • Computational Fluid Dynamics (CFD)
  • Particle Migration

Background:

  • Inertial focusing, discovered in 1961, describes particle migration in fluid flows, but a complete theoretical understanding remains elusive.
  • Computational approaches are increasingly used to elucidate the physics of particle focusing in microfluidic devices.
  • Existing theories often lack comprehensive explanations for particle behavior across various conditions.

Purpose of the Study:

  • To review and categorize numerical models for simulating inertial particle motion in microfluidics.
  • To provide a framework for selecting appropriate numerical solutions for diverse particle and fluid types.
  • To highlight key aspects of particle focusing in straight and curved microchannels.

Main Methods:

  • Categorization of models into semi-analytical, Navier-Stokes-based, and lattice Boltzmann methods.
  • Detailed exploration of particle focusing dependence on particle size, channel geometry, and Reynolds number.
  • Inclusion of general equations, tutorial appendices, and numerical study details for reader engagement.

Main Results:

  • Analysis of how different computational models address inertial particle migration.
  • Identification of factors influencing particle focusing, including channel shape and flow characteristics.
  • Discussion of model applicability to deformable/rigid, spherical/non-spherical particles in Newtonian/non-Newtonian fluids.

Conclusions:

  • Numerical modeling is essential for understanding inertial particle motion in microfluidics.
  • A clear differentiation between modeling approaches aids in selecting suitable methods.
  • Future research should address remaining challenges in modeling inertial particle microfluidics.