Applied Chemical Engineering

Statistical Modeling and Process Optimization of Phytosome Production Using the Solvent Evaporation Technique Based on Phospholipid

Ghufran Ashour Hammood

Department of Biotechnology, College of Science, University of Baghdad, Baghdad, Iraq

Hibba Salman Mahdi

Education of Baghdad, Ministry of Education, Baghdad, Iraq

Lamia Shakir Ashoor

Department of Biotechnology, College of Science, University of Baghdad, Baghdad, Iraq

Amer Hamid Hussien

Department of Chemistry, College of Science for Women, University of Baghdad, Baghdad, Iraq

DOI: https://doi.org/10.59429/ace.v9i3.6027

Keywords: Quercetin, Phytosome, Phosphatidylcholine, Factorial Design, Bioavailability, Antioxidant, flavonoi

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Abstract

Fabrication of phytosome formulation using solvent evaporation method statistical modeling, process optimization and scale up evaluation A 3^2 full factorial was then used for optimal CPP effect study (phospholipid-to-bioactive ratio, sonication time) against desired quality attributes (size, polydispersity index [PDI] and zeta potential of a well-formulated). Statistical analyses indicated that the concentration of phospholipids was the primary determinant of both particle size and colloidal stability, while sonication time modulated particle dispersion uniformity. These differential equations were easily solved, and the resulting $R^2 > 0.99$ predictive power of these mathematical models with little interaction effects suggests that the experimental space was controlled well. Most significantly, a stepwise scale-validation consisted of mass balance and percentage yield at multiple production scales. As the process steps are scaled (from lab to larger batch sizes) there is only a minimal (or no change in encapsulation efficiency and physicochemical stability). The findings of this research demonstrate that in optimized settings, the solvent evaporation process is a mathematically predictable and scalable platform for phospholipid embedded nanostructures to enable delivery of hydrophobic bioactive compounds.

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