Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors
ARTIGO
Inglês
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...
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 μm and ddI was gradually released during 2 h in simulated enteric fluid
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2011/20801-2; 2008/00421-8
Fechado
Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors
Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors
Fontes
Biomedicine and pharmacotherapy Vol. 70 (Mar., 2015), p. 46-52 |