Affiliations 

  • 1 Department of Engineering and Architecture, Trieste University, via Valerio 6, I-34127 Trieste, Italy
  • 2 Department of Chemical and Pharmaceutical Sciences, Trieste University, Piazzale Europa 1, I-34127 Trieste, Italy
  • 3 Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy
  • 4 Department of Basic Sciences & Oral Biology, Faculty of Dentistry, Universiti Sains Islam Malaysia, Kuala Lumpur 55100, Malaysia
  • 5 Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy
  • 6 Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland
  • 7 Department of Engineering and Architecture, Trieste University, via Valerio 6, I-34127 Trieste, Italy. Electronic address: mario.grassi@dia.units.it
Int J Pharm, 2019 Mar 25;559:373-381.
PMID: 30716402 DOI: 10.1016/j.ijpharm.2019.01.055

Abstract

Bacterial infections represent an important drawback in the orthopaedic field, as they can develop either immediately after surgery procedures or after some years. Specifically, in case of implants, they are alleged to be troublesome as their elimination often compels a surgical removal of the infected implant. A possible solution strategy could involve a local coating of the implant by an antibacterial system, which requires to be easily applicable, biocompatible and able to provide the desired release kinetics for the selected antibacterial drug. Thus, this work focusses on a biphasic system made up by a thermo-reversible gel matrix (Poloxamer 407/water system) hosting a dispersed phase (PLGA micro-particles), containing a model antibacterial drug (vancomycin hydrochloride). In order to understand the key parameters ruling the performance of this delivery system, we developed a mathematical model able to discriminate the drug diffusion inside micro-particles and within the gel phase, eventually providing to predict the drug release kinetics. The model reliability was confirmed by fitting to experimental data, proposing as a powerful theoretical approach to design and optimize such in situ delivery systems.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.