Title:Quality by Design (QbD) Approach for Development of Co-Processed Excipient Pellets (MOMLETS) By Extrusion-Spheronization Technique
Volume: 10
Issue: 3
Author(s): Hetal Patel, Kishan Patel, Sanjay Tiwari, Sonia Pandey, Shailesh Shah and Mukesh Gohel
Affiliation:
Keywords:
Box Behnken design, pareto chart, normal probability plot, quality target product profile, critical quality attributes,
Plackett–Burman design.
Abstract: Background: Microcrystalline cellulose (MCC) is an excellent excipient for the production of
pellets by extrusion spheronization. However, it causes slow release rate of poorly water soluble drugs
from pellets.
Co-processed excipient prepared by spray drying (US4744987; US5686107; WO2003051338) and coprecipitation
technique (WO9517831) are patented.
Objective: The objective of present study was to develop co-processed MCC pellets (MOMLETS) by
extrusion-spheronization technique using the principle of Quality by Design (QbD).
Methods: Co-processed excipient core pellets (MOMLETS) were developed by extrusion spheronization
technique using Quality by Design (QbD) approach. BCS class II drug (telmisartan) was layered onto it in
a fluidized bed processor.
Results: Quality Target Product Profile (QTPP) and Critical Quality Attributes (CQA) for pellets were
identified. Risk assessment was reported using Ishikawa diagram. Plackett Burman design was used to
check the effect of seven independent variables; superdisintegrant, extruder speed, ethanol: water,
spheronizer speed, extruder screen, pore former and MCC: lactose; on percentage drug release at 30 min.
Pareto chart and normal probability plot was constructed to identify the significant factors. Box–Behnken
design (BBD) using three most significant factors (Extruder screen size, type of superdisintegrant and
type of pore former) was used as an optimization design. The control space was identified in which desired
quality of the pellets can be obtained.
Conclusion: Co-processed excipient core pellets (MOMLETS) were successfully developed by QbD
approach. Versatility, Industrial scalability and simplicity are the main features of the proposed research.
