Experimental Solubility, Thermodynamic/Computational Validations, and GastroPlus-Based In Silico Prediction for Subcutaneous Delivery of Rifampicin

被引:0
作者
Wael A. Mahdi
Afzal Hussain
Mohammad A. Altamimi
Sultan Alshehri
Sarah I. Bukhari
Mohd Neyaz Ahsan
机构
[1] King Saud University,Department of Pharmaceutics, College of Pharmacy
[2] Birla Institute of Technology,Department of Medical Laboratory Technology, University Polytechnic
[3] Mesra,undefined
来源
AAPS PharmSciTech | / 22卷
关键词
rifampicin; sub-Q delivery; Hansen solubility parameters; validation models (computational and thermodynamics); prediction software;
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摘要
We focused to explore a suitable solvent for rifampicin (RIF) recommended for subcutaneous (sub-Q) delivery [ethylene glycol (EG), propylene glycol (PG), tween 20, polyethylene glycol-400 (PEG400), oleic acid (OA), N-methyl-2-pyrrolidone (NMP), cremophor-EL (CEL), ethyl oleate (EO), methanol, and glycerol] followed by computational validations and in-silico prediction using GastroPlus. The experimental solubility was conducted over temperature ranges T = 298.2–318.2 K) and fixed pressure (p = 0.1 MPa) followed by validation employing computational models (Apelblat, and vanʼt Hoff). Moreover, the HSPiP solubility software provided the Hansen solubility parameters. At T = 318.2K, the estimated maximum solubility (in term of mole fraction) values of the drug were in order of NMP (11.9 × 10-2) ˃ methanol (6.8 × 10-2) ˃ PEG400 (4.8 × 10-2) ˃ tween 20 (3.4 × 10-2). The drug dissolution was endothermic process and entropy driven as evident from “apparent thermodynamic analysis”. The activity coefficients confirmed facilitated RIF–NMP interactions for increased solubility among them. Eventually, GastroPlus predicted the impact of critical input parameters on major pharmacokinetics responses after sub-Q delivery as compared to oral delivery. Thus, NMP may be the best solvent for sub-Q delivery of RIF to treat skin tuberculosis (local and systemic) and cutaneous related disease at explored concentration.
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