Application of different mathematical models for further investigation of in vitro drug release mechanisms based on magnetic nano-composite

Abstract

The purpose of this study is to investigate drug release mechanisms on the novel pre-synthesized magnetic nano-composite-based polyurethane matrices and develop a kind of appropriate model to forecast quantitatively targeted drug delivery for in vitro breast cancer therapy. A newly presented analytical instrument, ion mobility spectrometry, was used to investigate loading and release procedures for two pharmaceutical cancer agents of DOX and MTX for breast cancer treatment. Loading percentages on the nano-composite matrices were obtained 94% and 98% for DOX and MTX, respectively. In vitro drug release data were obtained in two different pHs (4.7 and 7.4) in various continuously time intervals to follow release procedure. Cumulative release profile was drawn and consequently quantitatively correlated and interpreted with varied mathematical models, viz. zero-order model, first-order model, Higuchi model, Hixson–Crowell model and Korsmeyer–Peppas model. The calculated parameters of mentioned models including r2, slope and intercept were used for evaluation and describing the kinetics of drug release. The criterion for the most suitable model was based on the high degree of correlation coefficient of nano-composite drug release profile. Hence, finally it is concluded that the best fitted drug release pattern between all proposed methods is Higuchi kinetic model which explains the drug-diffusion-diffuse controlled manner.