A model-based approach to the assessment of physicochemical properties of drug delivery materials (Articolo in rivista)

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Label
  • A model-based approach to the assessment of physicochemical properties of drug delivery materials (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Liliana Ironi ; Stefania Tentoni (2003)
    A model-based approach to the assessment of physicochemical properties of drug delivery materials
    in Computers & chemical engineering; Pergamon-Elsevier Science Ltd., Oxford (Regno Unito)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Liliana Ironi ; Stefania Tentoni (literal)
Pagina inizio
  • 803 (literal)
Pagina fine
  • 812 (literal)
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  • CIT articolo = 5 (2011) ; Impact Factor rivista: 1.251 (2003) (literal)
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  • 27 (literal)
Rivista
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  • In this work, the assessment of the mucoadhesive properties of some pharmaceutical polymers is carried out by exploiting a model-based system. Besides providing a deeper insight into the mechanisms of mucus-polymer interactions, the proposed model-based approach can more generally support the design of Drug Delivery Systems by providing a cheaper way than traditional experimental protocols to assess those physical properties of drug carriers that, like mucoadhesion, affect drug bioavailability. (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Matematica Applicata e Tecnologie Informatiche-CNR, via Ferrata 1, 27100 Pavia, Italy (literal)
Titolo
  • A model-based approach to the assessment of physicochemical properties of drug delivery materials (literal)
Abstract
  • This paper illustrates the features of a computational framework which implements an approach to the automated modeling of the rheological behavior of viscoelastic materials. Qualitative, symbolic, and quantitative techniques are integrated to make the most of the available knowledge, and automate model formulation with the goal of attaining both computational efficiency and result accuracy. We used the tool to explore the mucoadhesive potential of pharmaceutical polymers. Solutions of NaCMC polymers and polymer–mucin mixtures at different concentrations underwent standard creep tests, and accurate ODE models were obtained from the data. Model order and parameter values, which are related to the number of structural units within the polymeric network and their strength, respectively, characterize the material complexity and provide a measure of its mucoadhesive potential. Compared with a purely experimental investigation, the model-based approach is cheaper and produces insights into the mechanisms of polymer–mucus interaction. (literal)
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