On the design and optimization of diffusion-controlled, planar delivery devices

Nauman, E. Bruce; Patel, Kandarp; Karande, Pankaj

doi:10.1016/j.ces.2009.09.043

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…Density ( Nauman et al, 2010;Schulze Nahrup et al, 2004) have also been studied with promising results. In the present study, within the frame of regulating the release rate of proxyphylline, the results from single-layer matrices are complemented by an example of a multi-layer SR system, comprised of an inner drug-loaded and two drug-free outer layers.…”

Section: Solutementioning

confidence: 97%

Regulation of proxyphylline's release from silicone rubber matrices by the use of osmotically active excipients and a multi-layer system

Soulas

Papadokostaki

2011

International Journal of Pharmaceutics

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Section: Solutementioning

confidence: 97%

Regulation of proxyphylline's release from silicone rubber matrices by the use of osmotically active excipients and a multi-layer system

Soulas

Papadokostaki

2011

International Journal of Pharmaceutics

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“…{{{{\partial} c} \over {{\partial} x}}} \right|_{x = 0} = 0,{\rm }\tau > 0;{\rm }c(\tau ,1) = 0,{\rm }\tau > 0$ . A 65% total solute release was aimed 37, 38…”

Section: Theoretical Sectionmentioning

confidence: 99%

“…Wu and Zhou35 employed a finite element method to study the effect of complex geometries of a diffusion‐controlled system on its release behavior. Moreover, a few modeling studies have been carried out on optimization of diffusion‐controlled systems 36–38. Lu et.…”

Section: Introductionmentioning

confidence: 99%

“…Georgiadis and Kostoglou37 employed a dynamic optimization approach and explored the synergistic benefits by simultaneously optimizing initial drug concentration, diffusivity profile, and layer thickness of a multi‐layer matrix system for a constant release rate. Nauman et al38 studied optimization of different release profiles in a diffusion‐controlled planar delivery device through a random search method. All these modeling works were based on optimizing either initial concentration profile at a constant diffusivity or both of initial concentration and diffusivity.…”

Section: Introductionmentioning

confidence: 99%

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Design and Synthesis of Poly(butyl acrylate) Networks through RAFT Polymerization with Crosslinking for Controlled‐Release Applications

Huang

Wang

et al. 2012

Macro Materials & Eng

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An effective approach is presented for designing and tailoring diffusion-controlled systems for targeted release rate profiles. The diffusion-controlled system consists of PBA networks with precisely controlled crosslink densities via RAFT copolymerization of BA with ethylene glycol dimethacrylate, which gives a desired diffusivity. One-dimensional releases in the crosslinked PBA matrix (CPM) slabs are evaluated with a hydrophobic dye. Fick's second law is used to model the transient mass transfers in the CPMs with a mixed Newton-Tikhonov regularization method for determination of their diffusion coefficients. A two-layer CPM (CPM-2) with controlled crosslink densities is constructed. The dye release results from the CPM-2 agreed well with theoretical predictions.

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“…To obtain the desired release rates in multilaminated drug delivery devices, Georgiadis and Kostoglou [7] presented a systematic optimization framework based on a simple mathematical model. Nauman et al [17] designed a multilaminated drug delivery device, which has two or three layers with different initial drug concentration distributions. By adjusting the parameters in this device, all kinds of drug release profiles can be obtained.…”

Section: Introductionmentioning

confidence: 99%

An Inverse Problem Solution Scheme for Solving the Optimization Problem of Drug-Controlled Release from Multilaminated Devices

Zhang

2020

Computational and Mathematical Methods in Medicine

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The optimization problem of drug release based on the multilaminated drug-controlled release devices has been solved in this paper under the inverse problem solution scheme. From the viewpoint of inverse problem, the solution of optimization problem can be regarded as the solution problem of a Fredholm integral equation of first kind. The solution of the Fredholm integral equation of first kind is a well-known ill-posed problem. In order to solve the severe ill-posedness, a modified regularization method is presented based on the Tikhonov regularization method and the truncated singular value decomposition method. The convergence analysis of the modified regularization method is also given. The optimization results of the initial drug concentration distribution obtained by the modified regularization method demonstrate that the inverse problem solution scheme proposed in this paper has the advantages of the numerical accuracy and antinoise property.

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On the design and optimization of diffusion-controlled, planar delivery devices

Cited by 9 publications

References 15 publications

Regulation of proxyphylline's release from silicone rubber matrices by the use of osmotically active excipients and a multi-layer system

Regulation of proxyphylline's release from silicone rubber matrices by the use of osmotically active excipients and a multi-layer system

Design and Synthesis of Poly(butyl acrylate) Networks through RAFT Polymerization with Crosslinking for Controlled‐Release Applications

An Inverse Problem Solution Scheme for Solving the Optimization Problem of Drug-Controlled Release from Multilaminated Devices

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