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Numerical simulation of drug release from collagen matrices by enzymatic degradation

机译:酶法降解胶原蛋白中药物释放的数值模拟

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Biodegradable collagen matrices have become a promising alternative to synthetic polymers as drug delivery systems for sustained release. Previously, a mathematical model describing water penetration, matrix swelling and drug release by diffusion from dense collagen matrices was introduced and tested (cf. Radu et al. in J. Pharm. Sci. 91:964-972,2002). However, enzymatic matrix degradation influences the drug release as well. Based on experimental studies (cf. Metzmacher in Enzymatic degradation and drug release behavior of dense collagen implants. Ph.D. thesis, LMU University of Munich, 2005), a mathematical model is presented here that describes drug release by collagenolytic matrix degradation. Existence and uniqueness of a solution of the model equations is reviewed. A mixed Raviart-Thomas finite element discretization for solving the coupled system of partial and ordinary differential equations is proposed andrnanalyzed theoretically. The model is verified by a comparison of numerically calculated and experimentally measured data and, in particular, investigated by a parameter sensitivity study. For illustration, some concentration profiles of a two-dimensional simulation are shown.
机译:可生物降解的胶原蛋白基质已经成为合成聚合物的有前途的替代品,作为持续释放的药物递送系统。以前,引入并测试了描述水渗透,基质溶胀和通过从致密胶原基质扩散而释放的药物的数学模型(参见Radu等人,J.Pharm.Sci.91:964-972,2002)。但是,酶基质的降解也会影响药物的释放。基于实验研究(参见Metzmacher在致密胶原植入物的酶促降解和药物释放行为中的研究。博士学位,慕尼黑管理大学,2005年),这里介绍了一个数学模型,该模型描述了胶原蛋白分解基质降解引起的药物释放。回顾了模型方程解的存在性和唯一性。提出了求解偏微分方程组和常微分方程组耦合系统的混合Raviart-Thomas有限元离散化方法,并进行了理论分析。通过比较数值计算和实验测量的数据来验证该模型,尤其是通过参数敏感性研究对其进行研究。为了说明,示出了二维模拟的一些浓度分布。

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  • 来源
    《Computing and visualization in science》 |2009年第8期|409-420|共12页
  • 作者单位

    Max-Planck-Institut fuer Mathematik in den Naturwissenschaften, Inselstr. 22, 04103 Leipzig, Germany Helmholtz Center for Environmental Research, UFZ, Permoserstr. 15, 04318 Leipzig, Germany;

    Department Mathematik, Universitaet Erlangen-Nuernberg, Martensstr, 3, 91058 Erlangen, Germany;

    Department Mathematik, Universitaet Erlangen-Nuernberg, Martensstr, 3, 91058 Erlangen, Germany;

    Department fuer Pharmazie Lehrstuhl fuer Pharmazeutische Technologie und Biopharmazie, Ludwig-Maximilians Universitaet Muenchen, Butenandtstr. 5, 81377 Muenchen, Germany;

    Department fuer Pharmazie Lehrstuhl fuer Pharmazeutische Technologie und Biopharmazie, Ludwig-Maximilians Universitaet Muenchen, Butenandtstr. 5, 81377 Muenchen, Germany;

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  • 入库时间 2022-08-18 00:52:56

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