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Modelling drug diffusion through unstirred water layers allows real-time quantification of free/loaded drug fractions and release kinetics from colloidal-based formulations

Tzanova, Martina M.
•
Moretti, Federica
•
Grassi, Gabriele
altro
di Cagno, Massimiliano Pio
2022
  • journal article

Periodico
EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS
Abstract
The correlation between in vivo and in vitro data is yet not sufficiently optimized to allow a significant reduction and replacement of animal testing in pharmaceutical development. One of the main reasons for this lies in the poor mechanistic understanding and interpretation of the physical mechanisms enabling formulation rely on for deploying the drug. One mechanism that still lacks a proper interpretation is the kinetics of drug release from nanocarriers. In this work, we investigate two different types of classical enabling formulations – i) cyclodextrin solutions and ii) liposomal dispersions – by a combination of an experimental method (i.e. UV–Vis localized spectroscopy) and mathematical modelling/numerical data fitting. With this approach, we are able to discriminate precisely between the amount of drug bound to nanocarriers or freely dissolved at any time point; in addition, we can precisely estimate the binding and diffusivity constants of all chemical species (free drug/bound drug). The results obtained should serve as the first milestone for the further development of reliable in vitro/in silico models for the prediction of in vivo drug bioavailability when enabling formulations are used.
DOI
10.1016/j.ejpb.2022.08.009
WOS
WOS:000888792000004
Archivio
http://hdl.handle.net/11368/3028810
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136578425
https://www.sciencedirect.com/science/article/pii/S0939641122001758
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3028810/1/2022 EJPB 178.pdf
Soggetti
  • Cyclodextrin

  • Liposome

  • Drug diffusion

  • Molecularly dissolved...

  • Mathematical modellin...

  • Numerical data fittin...

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