Computational Predictability of Microsponge Properties Using Different Multivariate Models
| Autor: | Mahavir B. Chougule, Mayura S. Chavan, Paresh R. Mahaparale, Bhavani Prasad Vinjamuri, Rahul V. Haware |
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| Rok vydání: | 2019 |
| Předmět: |
Multivariate statistics
Drug Compounding Acrylic Resins Pharmaceutical Science 02 engineering and technology Aquatic Science 030226 pharmacology & pharmacy Diffusion 03 medical and health sciences 0302 clinical medicine Metronidazole Drug Discovery Linear regression Animals Predictability Diffusion (business) Particle Size Cellulose Ecology Evolution Behavior and Systematics Mathematics Principal Component Analysis Ecology Goats General Medicine Models Theoretical 021001 nanoscience & nanotechnology Principal component analysis Microscopy Electron Scanning Principal component regression Emulsions Particle size 0210 nano-technology Biological system Agronomy and Crop Science Design space |
| Zdroj: | AAPS PharmSciTech. 20(5) |
| ISSN: | 1530-9932 |
| Popis: | The capabilities of principal component regression (PCR) and multiple linear regression (MLR) were evaluated to decipher and predict the impact of formulation and process parameters on the modeled metronidazole benzoate (MB)–ethyl cellulose (EC) microsponge (MBECM) properties. MBECM were prepared by a quasi-emulsion solvent diffusion method. A minimum experimentation was designed using Box-Behnken approach with one center point after initial screening experiments. Data was modeled by principal component analysis (PCA), PCR, and MLR. Two distinct groupings of developed MBECM was observed in initial qualitative PCA as a function of their respective formulation and processing parameters. Group A formulations with low dichloromethane, high PVA, and low stirring speed exhibited larger particle size, lower entrapment efficiency (EE), and lower actual drug content (ADC) than Group B formulations. Optimized quantitative PCR and MLR models demonstrated a linear dependence of particle size and quadratic dependence of EE and ADC on the studied formulation and process parameters. Interestingly, MLR models showed relatively better predictability of the selected MBECM formulation properties when compared with PCR. MBECM were amorphous in nature and spherical shaped. Carbopol® 940 NF based hydrogel of selected MBECM formulation exhibited a prolonged MB release than the commercial MB gel (Metrogyl®), showing no signs of necrosis in the goat mucosa. Thus, a properly designed minimum experimentation coupled with multivariate modeling generated a knowledge-rich target space, which enabled to understand and predict the performance of developed MBECM within a prescribed design space. |
| Databáze: | OpenAIRE |
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