Didanosine-loaded chitosan microspheres optimized by surface-response methodology: A modified "Maximum Likelihood Classification'' approach formulation for reverse transcriptase inhibitors

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

da Silva, CF (Autor) Outra; Severino, P (Autor) Outra; Martins, F (Autor) Outra; Santana, MHA (Autor) Outra; Souto, EB (Autor) Outra

Revista

Título: Biomedicine & Pharmacotherapy

Vol. 70

Páginas: 46-52

ISSN: 0753-3322

Editora: Elsevier

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 12 Citações

Outras Informações

ID Authenticus: P-00A-9XR

DOI: 10.1016/j.biopha.2014.12.047

Abstract (EN): Didanosine-loaded chitosan microspheres were developed applying a surface-response methodology and using a modified Maximum Likelihood Classification. The operational conditions were optimized with the aim of maintaining the active form of didanosine (ddI), which is sensitive to acid pH, and to develop a modified and mucoadhesive formulation. The loading of the drug within the chitosan microspheres was carried out by ionotropic gelation technique with sodium tripolyphosphate (TPP) as cross-linking agent and magnesium hydroxide (Mg(OH)(2)) to assure the stability of ddI. The optimization conditions were set using a surface-response methodology and applying the "Maximum Likelihood Classification'', where the initial chitosan concentration, TPP and ddI concentration were set as the independent variables. The maximum ddI-loaded in microspheres (i.e. 1433 mg of ddI/g chitosan), was obtained with 2% (w/v) chitosan and 10% TPP. The microspheres depicted an average diameter of 11.42 mu m and ddI was gradually released during 2 h in simulated enteric fluid.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7