M. Li, A.K. Mohammad, and J. Reineke
Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, 48202, U.S.A.
Two critical barriers preventing efficient use of passive nanoparticle targeting mechanisms is (1) an inability to predict nanoparticle distribution profiles from their known properties and (2) a lack of understanding of the in vivo degradation kinetics. Here we demonstrate the ability to form predictive property-distribution relationships and to detect in vivo biodegradation kinetics for PLGA nanoparticles administered intravenously.