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Microfluidic Buffer Exchange for Interference-free Micro/Nanoparticle Cell Engineering
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Published on: July 10, 2016

Microfluidics for nano-pathophysiology.

Kae Sato1, Naoki Sasaki2, Helene Andersson Svahn3

  • 1Department of Chemical and Biological Sciences, Faculty of Science, Japan Women's University, Bunkyo, Tokyo 112-8681, Japan.

Advanced Drug Delivery Reviews
|September 5, 2013
PubMed
Summary
This summary is machine-generated.

Microfluidic systems offer new ways to test nanotechnology drug delivery for cancer. These models mimic blood vessels, allowing researchers to assess if drugs reach target tissues effectively.

Keywords:
Cardiovascular modelDisease modelMicrodeviceMicrofluidicsOrgans on a Chip

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cancer Research

Background:

  • Nanotechnology drug delivery shows promise for cancer treatment.
  • Current cell-based models lack the ability to assess drug delivery to target tissues.
  • Microfluidic systems offer advanced solutions for cell-based experiments.

Purpose of the Study:

  • To review the development and application of microfluidic systems for evaluating nanotechnology-based drug delivery.
  • To highlight the potential of these systems in mimicking in vivo conditions for drug permeability assays.
  • To discuss the future utility of microfluidic devices in cancer research and drug development.

Main Methods:

  • Fabrication of microfluidic devices that mimic microvessels.
  • Development of disease models within microfluidic channels.
  • Assaying nanoparticle permeability under simulated blood flow conditions.

Main Results:

  • Microfluidic systems successfully replicate the microvasculature environment.
  • These systems enable the assessment of drug permeability under dynamic fluidic conditions.
  • The models provide a practical platform for evaluating drug delivery efficacy.

Conclusions:

  • Microfluidic technology provides a revolutionary platform for testing nanotechnology drug delivery systems.
  • These models are crucial for assessing drug penetration and efficacy in cancer treatment.
  • Future applications include personalized medicine and accelerated drug development.