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      Mathematical Modeling of Release Kinetics from Supramolecular Drug Delivery Systems

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          Abstract

          Embedding of active substances in supramolecular systems has as the main goal to ensure the controlled release of the active ingredients. Whatever the final architecture or entrapment mechanism, modeling of release is challenging due to the moving boundary conditions and complex initial conditions. Despite huge diversity of formulations, diffusion phenomena are involved in practically all release processes. The approach in this paper starts, therefore, from mathematical methods for solving the diffusion equation in initial and boundary conditions, which are further connected with phenomenological conditions, simplified and idealized in order to lead to problems which can be analytically solved. Consequently, the release models are classified starting from the geometry of diffusion domain, initial conditions, and conditions on frontiers. Taking into account that practically all solutions of the models use the separation of variables method and integral transformation method, two specific applications of these methods are included. This paper suggests that “good modeling practice” of release kinetics consists essentially of identifying the most appropriate mathematical conditions corresponding to implied physicochemical phenomena. However, in most of the cases, models can be written but analytical solutions for these models cannot be obtained. Consequently, empiric models remain the first choice, and they receive an important place in the review.

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          Most cited references194

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          Mechanisms of polymer degradation and erosion

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            On the use of the Weibull function for the discernment of drug release mechanisms.

            Previous findings from our group based on Monte Carlo simulations indicated that Fickian drug release from Euclidian or fractal matrices can be described with the Weibull function. In this study, the entire drug release kinetics of various published data and experimental data from commercial or prepared controlled release formulations of diltiazem and diclofenac are analyzed using the Weibull function. The exponent of time b of the Weibull function is linearly related to the exponent n of the power law derived from the analysis of the first 60% of the release curves. The value of the exponent b is an indicator of the mechanism of transport of a drug through the polymer matrix. Estimates for b< or =0.75 indicate Fickian diffusion in either fractal or Euclidian spaces while a combined mechanism (Fickian diffusion and Case II transport) is associated with b values in the range 0.75
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              Analysis of Fickian and non-Fickian drug release from polymers.

              N A Peppas (1984)
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                Author and article information

                Journal
                Pharmaceutics
                Pharmaceutics
                pharmaceutics
                Pharmaceutics
                MDPI
                1999-4923
                21 March 2019
                March 2019
                : 11
                : 3
                : 140
                Affiliations
                [1 ]Department of Applied Mathematics and Biostatistics, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, Bucharest 020956, Romania; constantin.mircioiu@ 123456yahoo.com (C.M.); andratds@ 123456yohoo.com (A.T.)
                [2 ]Department of Clinical Pharmacology, Toxicology and Psychopharmacology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, Bucharest 020021, Romania; victor.voicu@ 123456yahoo.com
                [3 ]Department of Physical and Colloidal Chemistry, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, Bucharest 020956, Romania
                [4 ]Department of Pharmacy, G. D’Annunzio University of Chieti–Pescara, Chieti 66100, Italy; c.celia@ 123456unich.it
                [5 ]Department of Clinical and Experimental Medicine, “Magna Græcia” University of Catanzaro, 88100 Germaneto (CZ), Italy; paolino@ 123456uniczt.it
                [6 ]Department of Health Sciences, School of Pharmacy, “Magna Græcia” University of Catanzaro, 88100 Germaneto (CZ), Italy; fresta@ 123456uniczt.it
                [7 ]Department of Applied Mathematics and Biostatistics, Titu Maiorescu University, Bucharest 004051, Romania; roxana.sandulovici@ 123456yahoo.com
                [8 ]Department of Biopharmacy and Pharmacokinetics, Titu Maiorescu University, Bucharest 004051, Romania; ionutu@ 123456yahoo.com
                Author notes
                [* ]Correspondence: valentina.anuta@ 123456umfcd.ro ; Tel.: +40-721-568-789
                Author information
                https://orcid.org/0000-0003-1266-5862
                Article
                pharmaceutics-11-00140
                10.3390/pharmaceutics11030140
                6471682
                30901930
                53d63650-90c9-436f-b52d-b91399d86f8d
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 31 January 2019
                : 18 March 2019
                Categories
                Review

                boundary conditions,diffusion equation,drug carriers,release kinetics

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