Artículo

Study of the Influence of Formulation Variables in Bioadhesive Emulgels Using Response Surface Methodology

Ochoa Andrade, Ana ; Parente, M. Emma ; Jimenez Kairuz, Alvaro Federico Icon; Boinbaser, Lucía ; Torregrosa, Annibal

Otros responsables

Fecha

2017-08-17

Editorial

Springer

Revista

AAPS Pharmscitech

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

1530-9932

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

The aim of the present work was to study the main formulation variables that influence attributes of bioadhesive emulgels based on a combination of polymers, using response surface methodology (RSM). Bioadhesive products continue to gain attention in topical cutaneous administration as they allow long residence times on the application site, which is important when a long dermal action and a reduced product administration frequency are desired. A Box-Behnken design of experiments (DoE) was introduced to study the effect of formulation variables on quality attributes of the emulgels. The effects of concentration of carbomer interpolymer type A (Polym1), xanthan gum (Polym2) and mineral oil (Oil) on detachment force (Fdetch), spreadability (Spread), and phase separation by mechanical stress (PhSep) were investigated. RSM and desirability functions were applied for data analysis. Emulgels were further characterized by viscosity and extrudability measurements. Polym1 showed a positive effect on Fdetch, while the increase in concentrations of Polym2 and Oil decreased this property. Polym1 and Polym2 favored emulgel PhSep. However, their interaction effect decreased it. The combination of 0.4–0.6% of carbomer and 0.2–0.3% of gum was able to produce easy-to-spread bioadhesive emulgels with mineral oil as discontinuous phase in the presence of a low surfactant concentration. Based on the DoE results, value ranges for the variables, which could achieve for the experimental domain to get the critical quality attributes of emulgels jointly within the specification limits, were able to be identified using RSM supported by desirability functions.

Aprobación

Revisión

Complementado por

Referenciado por

Licencia Creative Commons

Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa