Publication:
Chitosan/albumin coating factorial optimization of alginate/dextran sulfate cores for oral delivery of insulin

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Marine Drugs_digitum.pdf(1.59 MB)
Date
2023-03-14
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Authors
Pessoa, Bruno ; Sandri, Giuseppina ; Ribeiro, António ; Collado-González, Mar
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Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
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Biología Celular e Histología
DOI
https://doi.org/10.3390/md21030179
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info:eu-repo/semantics/article
Description
Abstract
The design of nanoparticle formulations composed of biopolymers, that govern the physicochemical properties of orally delivered insulin, relies on improving insulin Stability and absorption through the intestinal mucosa while protecting it from harsh conditions in the gastrointestinal (GI) tract. Chitosan/polyethylene glycol (PEG) and albumin coating of alginate/dextran sulfate hydrogel cores are presented as a ultilayer complex protecting insulin within the nanoparticle. This study aims to optimize a anoparticle formulation by assessing the relationship between design parameters and experimental data using response surface methodology through a 3-factor 3-level optimization Box–Behnken design. While the selected independent variables were the concentrations of PEG, chitosan and albumin, the dependent variables were particle Size, polydispersity index (PDI), zeta potential, and insulin release. Experimental results showed a nanoparticle size ranging from 313 to 585 nm, with PDI from 0.17 to 0.39 and zeta potential ranging from 􀀀29 to 􀀀44 mV. Insulin bioactivity was maintained in simulated GI media with over 45% cumulative release after 180 min in a simulated intestinal medium. Based on the experimental responses and according to the criteria of desirability on the experimental region’s constraints, solutions of 0.03% PEG, 0.047% chitosan and 1.20% albumin provide an optimum nanoparticle formulation for insulin oral delivery.
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Biopolymers , Box–Behnken , Factorial optimization , Insulin delivery , Ionotropic gelation , Nanoparticles , Polyelectrolyte complexation
Citation
Marine Drugs 2023, 21, 179
URI
http://hdl.handle.net/10201/161570
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