Literature DB >> 9649357

On mathematical modeling of dermal and transdermal drug delivery.

R Manitz1, W Lucht, K Strehmel, R Weiner, R Neubert.   

Abstract

This paper deals with two extensions of diffusion models for the drug delivery process into human skin in order to give a more realistic approach. As one extension several penetrating substances formulated within a vehicle are considered for modeling the case of an applied drug and some penetration modifiers (enhancers and reducers, respectively). A coupling via concentration-dependent diffusivities between the diffusion equations of the involved substances is used to model the dependencies between them. Furthermore, a moving boundary problem for the diffusion equation of the drug delivery process is developed to describe the time-dependent maximum penetration depth of each penetrant marked by a movingboundary. On this basis a model is developed that can predict both the concentration profile and the position of the penetration boundary depending on time. Both concepts are described on a two-dimensional multilayered domain representing a cross section through human skin. The model equations are solved by exploiting a suitable numerical discretization method.

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Year:  1998        PMID: 9649357     DOI: 10.1021/js970329r

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  A Comparative Study of the effects of Vitamins C and E in the Development of Sarcoma 180 in Mice.

Authors:  Gerson S Paiva; Carlton A Taft; Marcos C Carvalho; Ivone A de Souza; Elisângela C Barbosa da Silva; Karen P Cavalcanti; Ronaldo F L; Neil M De la Cruz
Journal:  J Cancer       Date:  2013-11-16       Impact factor: 4.207

Review 2.  Surging footprints of mathematical modeling for prediction of transdermal permeability.

Authors:  Neha Goyal; Purva Thatai; Bharti Sapra
Journal:  Asian J Pharm Sci       Date:  2017-02-22       Impact factor: 6.598

3.  Predicting transdermal fentanyl delivery using physics-based simulations for tailored therapy based on the age.

Authors:  Flora Bahrami; René Michel Rossi; Thijs Defraeye
Journal:  Drug Deliv       Date:  2022-12       Impact factor: 6.419

  3 in total

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