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

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

Published on: July 10, 2016

Inertial flow focusing: a case study in optimizing cellular trajectory through a microfluidic MEMS device for

Luke H C Patterson¹, Jennifer L Walker², Mark A Naivar³

¹Department of Mechanical Engineering, University of California, Santa Barbara, CA, USA. lpatterson@ucsb.edu.

Biomedical Microdevices

|August 10, 2020

Summary

Optimizing microfluidic systems requires understanding fluid dynamics. This study reveals how temperature and viscosity affect microfluidic device timing, enabling higher throughput for cell-based assays.

Keywords:

Cell impact Dynamic cell compression Inertial focusing MEMS Microfluidics Reynolds number

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A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

Published on: January 10, 2017

Area of Science:

Biotechnology
Microfluidics
Cell Mechanics

Background:

Microfluidic systems, including micro-electromechanical systems (MEMS), are valuable for studying mechanical force effects on cells.
High-throughput analysis in microfluidics is limited by the need to optimize fluid and particle flow conditions.
While flow velocity and particle size are understood, temperature and buffer viscosity effects remain less explored.

Purpose of the Study:

To investigate the impact of temperature and buffer viscosity on the performance of a microfluidic cell-impact device, the μHammer.
To establish a framework for optimizing microfluidic device performance by analyzing particle dynamics.

Main Methods:

Tracking polystyrene bead velocity through the μHammer device.
Visualizing bead impact to assess device timing.
Analyzing the influence of temperature and buffer viscosity on particle trajectories.

Main Results:

Device timing is sensitive to the ratio of inertial to viscous forces experienced by particles.
Changes in temperature and viscosity significantly affect particle trajectories and impact timing.
An effective throughput exceeding 360 beads/s was achieved.

Conclusions:

The study provides a robust framework for optimizing microfluidic device performance by adjusting temperature and viscosity.
This optimization framework enhances consistency in microfluidic systems dependent on precise particle manipulation.
The findings facilitate improved high-throughput cell analysis using microfluidic technologies.