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Chitosan/tripolyphosphate nanoparticles in active and passive microchannels.

Mona Akbari1,2, Zohreh Rahimi2,3, Masoud Rahimi4

  • 1Department of Chemical Engineering, University of Hormozgan, Bandar Abbas, I.R. Iran.

Research in Pharmaceutical Sciences
|May 6, 2021
PubMed
Summary

Computational fluid dynamics (CFD) modeling effectively simulates chitosan nanoparticle formation. Passive microchannels yield the most uniform nanoparticles, offering a new perspective for nanoparticle production studies.

Keywords:
CFD modelingChitosanMicrochannelNanoparticlesPopulation balance method.

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Area of Science:

  • Nanotechnology
  • Materials Science
  • Chemical Engineering

Background:

  • Growing interest in chitosan nanoparticles for drug delivery applications.
  • Need for advanced methods to understand nanoparticle formation processes.

Purpose of the Study:

  • To develop and validate a computational fluid dynamics (CFD) modeling approach for simulating pharmaceutical nanoparticle synthesis.
  • To investigate nanoparticle formation in different microchannel designs.

Main Methods:

  • Comparison of active and passive microchannels through 28 experiments.
  • Quantification of 4 key parameters influencing nanoparticle size and polydispersity index (PDI).
  • CFD modeling coupled with reactive kinetics and population balance method for chitosan/tripolyphosphate nanoparticle synthesis simulation.

Main Results:

  • Passive microchannels demonstrated superior performance in nanoparticle production.
  • Achieved narrowest standard deviation (124.3 nm, PDI = 0.112) using passive microchannels.
  • CFD modeling results validated by experimental data, determining growth and nucleation rates.

Conclusions:

  • CFD modeling provides a reliable method for predicting chitosan/tripolyphosphate nanoparticle size and PDI.
  • Offers a novel numerical approach for studying nanoparticle production.
  • Highlights the advantages of passive microchannels for uniform nanoparticle synthesis.