Computer-based formulation design and optimization using Hansen solubility parameters to enhance the delivery of ibuprofen through the skin.
Animals
Anti-Inflammatory Agents, Non-Steroidal
/ administration & dosage
Chemistry, Pharmaceutical
Computer Simulation
Drug Compounding
Ethylene Glycols
/ administration & dosage
Fatty Alcohols
/ administration & dosage
Ibuprofen
/ administration & dosage
In Vitro Techniques
Isosorbide
/ administration & dosage
Skin
/ metabolism
Skin Absorption
Solubility
Swine
Computer-based formulation design and optimization
Emulgel
Hansen Solubility Parameters
Ibuprofen
Skin penetration enhancer
Topical
Journal
International journal of pharmaceutics
ISSN: 1873-3476
Titre abrégé: Int J Pharm
Pays: Netherlands
ID NLM: 7804127
Informations de publication
Date de publication:
05 Oct 2019
05 Oct 2019
Historique:
received:
03
05
2019
revised:
09
07
2019
accepted:
19
07
2019
pubmed:
9
8
2019
medline:
30
1
2020
entrez:
9
8
2019
Statut:
ppublish
Résumé
Trial-and-error approach to formulation development is long and costly. With growing time and cost pressures in the pharmaceutical industry, the need for computer-based formulation design is greater than ever. In this project, emulgels were designed and optimized using Formulating for Efficacy™ (FFE) for the topical delivery of ibuprofen. FFE helped select penetration enhancers, design and optimize emulgels and simulate skin penetration studies. pH, viscosity, spreadability, droplet size and stability of emulgels were evaluated. Franz cell studies were performed to test in vitro drug release on regenerated cellulose membrane, drug permeation in vitro on Strat-M® membrane and ex vivo on porcine ear skin, a marketed ibuprofen gel served as control. Emulgels had skin compatible pH, viscosity and spreadability comparable to a marketed emulgel, were opaque and stable at 25 °C for 6 months. Oleyl alcohol (OA), combined with either dimethyl isosorbide (DMI) or diethylene glycol monoethyl ether (DGME) provided the highest permeation in 24 h in vitro, which was significantly higher than the marketed product (p < 0.01). OA + DGME significantly outperformed OA ex vivo (p < 0.05). The computer predictions, in vitro and ex vivo penetration results correlated well. FFE was a fast, valuable and reliable tool for aiding in topical product design for ibuprofen.
Identifiants
pubmed: 31394188
pii: S0378-5173(19)30593-9
doi: 10.1016/j.ijpharm.2019.118549
pii:
doi:
Substances chimiques
Anti-Inflammatory Agents, Non-Steroidal
0
Ethylene Glycols
0
Fatty Alcohols
0
oleyl alcohol
172F2WN8DV
carbitol
A1A1I8X02B
2,5-dimethylisosorbide
SA6A6V432S
Ibuprofen
WK2XYI10QM
Isosorbide
WXR179L51S
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
118549Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.