Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A comparative parametric study
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<p>In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷<sup>2</sup> minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.</p>
In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷2 minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.
In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷2 minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.
Keywords
Drug dissolution, Least squares method, Mathematical modelling, Model comparison, Release kinetics, Statistical analysis, Drug dissolution, Least squares method, Mathematical modelling, Model comparison, Release kinetics, Statistical analysis