2010
DOI: 10.1016/j.jconrel.2010.07.102
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A mechanistic modelling approach to polymer dissolution using magnetic resonance microimaging

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Cited by 43 publications
(13 citation statements)
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“…The controlled drug release from hydrogels is an important issue for medical applications that has been under intensive investigation in the last decades, both experimentally (Hoare and Kohane, 2008;Ratner and Hoffman, 1976) or through mathematical modelling (Peppas and Khare, 1993;Siepmann and Siepmann, 2008), including empirical/semi-empirical models, as well as mechanistic realistic ones (Caccavo et al, 2015a(Caccavo et al, , 2015bKaunisto et al, 2010;Lamberti et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The controlled drug release from hydrogels is an important issue for medical applications that has been under intensive investigation in the last decades, both experimentally (Hoare and Kohane, 2008;Ratner and Hoffman, 1976) or through mathematical modelling (Peppas and Khare, 1993;Siepmann and Siepmann, 2008), including empirical/semi-empirical models, as well as mechanistic realistic ones (Caccavo et al, 2015a(Caccavo et al, , 2015bKaunisto et al, 2010;Lamberti et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…To describe the water concentration dependence of the diffusion coefficients we used a Fujita dependence [28], which is based on a free volume approach. This type of model has been successfully used to model drug diffusion in hydroxypropyl methylcellulose (HPMC) [29, 30], polymer diffusion in polyethylene oxide (PEO) [31] and other similar systems [3234]. In this approach, diffusion coefficients are dependent on the water concentration according to Eq.…”
Section: Methodsmentioning
confidence: 99%
“…Kaunisto et al developed a mechanistic model (in 2010 for the dissolution of pure poly(ethylene oxide) tablets [111], extended in 2013 [112] to HPMC matrices loaded with a poorly soluble drug) to analyze the drug release behavior in swellable systems. In this model (considered at constant density), the polymer mass fraction description was coupled with the transport equations for drug and water through the mass fraction constraint (Table 3 equations (E-F) with (v mix ) → 0), therefore overcoming the Lamberti model 2° drawback.…”
Section: Multicomponent Approach: Mass Transfermentioning
confidence: 99%