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Updated: Feb 7, 2026

Protein Kinase C-delta Inhibitor Peptide Formulation using Gold Nanoparticles
Published on: March 9, 2019
Initial Risk Assessment as part of the Quality by Design in peptide drug containing formulation development
Quality by Design (QbD) and Risk Assessment (RA) are crucial for oral peptide drug development. This study demonstrates their application in creating Liraglutide nanoparticles, highlighting key quality attributes and process parameters for successful formulation.
Area of Science:
- Pharmaceutical Science
- Drug Delivery Systems
- Biotechnology
Background:
- Quality by Design (QbD) and Risk Assessment (RA) are integral to modern pharmaceutical development, mandated by regulatory bodies.
- Oral peptide formulations present unique challenges due to stability and bioavailability issues.
Purpose of the Study:
- To implement QbD principles and RA in the early development of oral peptide formulations.
- To demonstrate a practical case study of QbD and RA for Liraglutide-encapsulated polymeric nanoparticles for type 2 Diabetes Mellitus treatment.
Main Methods:
- Applied QbD thinking and RA methodology from the initial stages of oral peptide formulation development.
- Utilized a case study focusing on Liraglutide-loaded nanoparticles, identifying critical quality attributes (CQAs) and critical material attributes (CMAs).
- Evaluated process parameters, including sonication time and power, for their impact on product quality.
Main Results:
- Identified particle size, encapsulation efficiency, and drug loading as critical quality attributes for Liraglutide nanoparticles.
- Determined that polymer concentration, drug concentration, w2/o ratio, stabilizer concentration, and polymer type were critical material attributes impacting product quality.
- Selected sonication time and power as the most critical process elements.
Conclusions:
- Emphasized the importance of risk-factor-focused development in oral peptide pharmaceutical formulations.
- Highlighted the necessity of thorough planning and risk prioritization to optimize resource allocation for achieving desired product quality in oral peptide delivery systems.
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