Optimization of desolvation process for fabrication of lactoferrin nanoparticles using quality by design approach.

The present work deals with the design and process optimization for preparation of lactoferrin nanoparticles as carrier for delivery of curcumin (CLf-NPs) using quality by design (QbD) approach. Desolvation technique was selected for preparation of Lf-NPs. The concept of QbD was followed in stepwise manner including risk analysis FMEA methodology. Plackett-Burman screening design employing eight factors and two levels was selected for screening study and custom design was selected for further analysis. Curcumin was used as model polyphenol for assessing the encapsulating efficiency of Lf-NPs.

Applying quality by design (QbD) concept for fabrication of chitosan coated nanoliposomes.

In the present investigation, a quality by design (QbD) strategy was successfully applied to the fabrication of chitosan-coated nanoliposomes (CH-NLPs) encapsulating a hydrophilic drug. The effects of the processing variables on the particle size, encapsulation efficiency (%EE) and coating efficiency (%CE) of CH-NLPs (prepared using a modified ethanol injection method) were investigated. The concentrations of lipid, cholesterol, drug and chitosan; stirring speed, sonication time; organic:aqueous phase ratio; and temperature were identified as the key factors after risk analysis for conducting a screening design study. A separate study was designed to investigate the robustness of the predicted design space. The particle size, %EE and %CE of the optimized CH-NLPs were 111.3 nm, 33.4% and 35.2%, respectively. The observed responses were in accordance with the predicted response, which confirms the suitability and robustness of the design space for CH-NLP formulation. In conclusion, optimization of the selected key variables will help minimize the problems related to size, %EE and %CE that are generally encountered when scaling up processes for NLP formulations. The robustness of the design space will help minimize both intra-batch and inter-batch variations, which are quite common in the pharmaceutical industry.