Literature DB >> 32886338

Diffusion through skin in the light of a fractional derivative approach: progress and challenges.

Michele Caputo1, Cesare Cametti2.   

Abstract

This review is focussed on modelling the transport processes of different drugs across the intact human skin by introducing a memory formalism based on the fractional derivative approach. The fundamental assumption of the classic transport equation in the light of the Fick's law is that the skin barrier behaves as a pseudo-homogeneous membrane and that its properties, summarized by the diffusion coefficient D,  do not vary with time and position. This assumption does not hold in the case of a highly heterogeneous system as the skin is, whose outermost layer (the stratum corneum) is comprised of a multi-layered structure of keratinocytes embedded in a lamellar matrix of hydrophobic lipids, followed by the dermis that contains a network of capillaries that connect to the systemic circulation. A possible way to overcome these difficulties resides in the introduction of mathematical models which involve fractional derivatives to describe complex systems with interactions in space and time, following the model originally developed by Caputo in order to consider the memory effects in materials. Although the introduction of fractional derivatives to model memory effects is completely phenomenological, i.e., characterized by a single parameter, i.e., the fractional derivative order [Formula: see text] a number of authors have found that this approach can provide a better comparison to experimental data and that this technique may be alternative to integer-order derivative models. In this review, we aim to summarize some our recent results, concerning the transport of different diffusing compounds of different structural complexity across the intact skin.

Entities:  

Keywords:  Drug diffusion; Fractional derivatives; Mathematical models of drug diffusion through skin

Year:  2020        PMID: 32886338     DOI: 10.1007/s10928-020-09715-y

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  21 in total

1.  Fractal pharmacokinetics.

Authors:  Luis M Pereira
Journal:  Comput Math Methods Med       Date:  2010-06       Impact factor: 2.238

2.  Fractional kinetics in multi-compartmental systems.

Authors:  Aristides Dokoumetzidis; Richard Magin; Panos Macheras
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-10-01       Impact factor: 2.745

3.  Fractal reaction kinetics.

Authors:  R Kopelman
Journal:  Science       Date:  1988-09-23       Impact factor: 47.728

4.  Fractional kinetics in drug absorption and disposition processes.

Authors:  Aristides Dokoumetzidis; Panos Macheras
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-04-02       Impact factor: 2.745

5.  Diffusion with memory in two cases of biological interest.

Authors:  Michele Caputo; Cesare Cametti
Journal:  J Theor Biol       Date:  2008-06-26       Impact factor: 2.691

6.  Compartmental modeling of skin transport.

Authors:  A A Amarah; D G Petlin; J E Grice; J Hadgraft; M S Roberts; Y G Anissimov
Journal:  Eur J Pharm Biopharm       Date:  2018-07-19       Impact factor: 5.571

7.  A proposed fractional-order Gompertz model and its application to tumour growth data.

Authors:  Larisse Bolton; Alain H J J Cloot; Schalk W Schoombie; Jacobus P Slabbert
Journal:  Math Med Biol       Date:  2014-01-26       Impact factor: 1.854

8.  Fractional calculus in pharmacokinetics.

Authors:  Pantelis Sopasakis; Haralambos Sarimveis; Panos Macheras; Aristides Dokoumetzidis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-10-03       Impact factor: 2.745

9.  A fractal approach to heterogeneous drug distribution: calcium pharmacokinetics.

Authors:  P Macheras
Journal:  Pharm Res       Date:  1996-05       Impact factor: 4.200

10.  The wisdom of the body; a contemporary view.

Authors:  Bruce J West
Journal:  Front Physiol       Date:  2010-04-23       Impact factor: 4.566

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  1 in total

1.  Development of Safirinium dyes for new applications: fluorescent staining of bacteria, human kidney cells, and the horny layer of the epidermis.

Authors:  Joanna Fedorowicz; Dagmara Bazar; Wioletta Brankiewicz; Hanna Kapica; Krzesimir Ciura; Beata Zalewska-Piątek; Rafał Piątek; Krzysztof Cal; Krystyna Mojsiewicz-Pieńkowska; Jarosław Sączewski
Journal:  Sci Rep       Date:  2022-09-05       Impact factor: 4.996

  1 in total

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