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1.
Drug Dev Ind Pharm ; 46(2): 296-308, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31944126

ABSTRACT

Objective: The aim of this study was to develop an emulgel for the treatment of rosacea, applying quality by design (QbD).Methods: An emulgel designed to release the active pharmaceutical ingredients (APIs), metronidazole and niacinamide, via an emollient formulation that favors residence time and attenuates facial redness would be an excellent vehicle to develop to treat rosacea. It was decided to design first a vehicle presenting the attributes established in the quality target product profile, and then, after selecting the best formulation, to load the APIs in it to optimize the final emulgel. A design of experiments was introduced to study the effect of formulation variables on quality attributes (adhesion, phase separation by mechanical stress and viscosity) of the emulgels. Response surface methodology and desirability functions were applied for data analysis. After optimization, the final emulgel was further characterized by assay and in vitro release of APIs, attenuation of facial redness, and compared to commercially available metronidazole products regarding API release.Results: The final emulgel gradually released both APIs, reaching approximately 88% within the first 4 h, and their profiles were well described by the Higuchi model. Only a light attenuation effect to conceal facial redness was achieved.Conclusions: A metronidazole and niacinamide emulgel, also providing cosmetic assistance, was developed using QbD. The emulgel releases metronidazole faster than the creams, but more gradually than the commercially available gel, providing a realistic time frame of drug delivery in accordance with the expected time of residence of the adhesive emulgel over the affected facial area.


Subject(s)
Gels/administration & dosage , Gels/chemistry , Rosacea/drug therapy , Chemistry, Pharmaceutical/methods , Cosmetics/administration & dosage , Cosmetics/chemistry , Drug Delivery Systems/methods , Drug Liberation , Excipients/chemistry , Humans , Metronidazole/administration & dosage , Metronidazole/chemistry , Niacinamide/administration & dosage , Niacinamide/chemistry , Viscosity/drug effects
2.
AAPS PharmSciTech ; 18(6): 2269-2278, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28097478

ABSTRACT

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.


Subject(s)
Emulsions/chemistry , Hydrogels/chemistry , Acrylic Resins/chemistry , Data Interpretation, Statistical , Drug Compounding , Polymers/chemistry , Viscosity
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