Michela AbramiSamuel GolobFabio PontelliGianluca ChiarappaGabriele GrassiBeatrice PerissuttiDario VoinovichNadia HalibLuigi MurenaGesmi MilcovichMario Grassi2024-05-292024-05-292019-03-251873-34760378-5173https://doi.org/10.1016/j.ijpharm.2019.01.055WOS:000459871500035https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061231772&doi=10.1016%2fj.ijpharm.2019.01.055&partnerID=40&md5=e79214b983e29d6d8bc41ac5d75332ebhttps://www.sciencedirect.com/science/article/abs/pii/S0378517319300961?via%3Dihubhttps://oarep.usim.edu.my/handle/123456789/11830International Journal of Pharmaceutics Volume 559, 25 March 2019, Pages 373-381Bacterial 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.en-USGelsMathematical modellingAntibacterial drugOrthopaedic implantsMicro-particlesArticle373381559