A Computational Model for Drug Release from PLGA Implant

Published in Materials, vol. 11(12), 2416 (2018) · MDPI · Open access, CC BY
DOI: 10.3390/ma11122416

Summary

Emulsion electrospinning produces core-shell nanofibres readily, which is why it has been pursued so intensively for sustained drug release. Predicting how fast the drug actually leaves a PLGA implant, though, is another matter. This study builds a computational model of that release, allowing the behaviour of a formulation to be estimated before it is made - a considerable saving when each experimental release curve takes weeks to measure.

Authors & Affiliations

  • Miljan Milosevic
    Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
  • Dusica Stojanovic
    Faculty of Technology and Metallurgy, University of Belgrade, Serbia
  • Vladimir Simic
    Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
  • Bogdan Milicevic
    Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
  • Andjela Radisavljevic
    Faculty of Technology and Metallurgy, University of Belgrade, Serbia

Linari Electrospinning Systems

Linari Engineering electrospinning system
The nanofibres were prepared on a Linari Engineering system (Pisa, Italy), with conditions adjusted to obtain fine fibres. A computational model is only as good as the reproducibility of the fibres it describes - see our range of systems.

Topics

Computational Modelling Drug Release Prediction Emulsion Electrospinning Core-Shell Fibers

Materials

PLGA
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