Multivariate analysis as a method to understand variability in a complex excipient, and its contribution to...

Area of Science:

• Pharmaceutical Science
• Materials Science
• Chemical Engineering

Background:

• Excipient variability is a critical factor in pharmaceutical risk assessment.
• Understanding raw material variability's impact on drug product performance is essential for quality control.
• Ethylcellulose aqueous dispersion (Surelease) is a complex, functional excipient requiring thorough evaluation.

Purpose of the Study:

• To demonstrate an approach for assessing the impact of excipient raw material variability on drug product performance.
• To evaluate the variability of an ethylcellulose aqueous dispersion (Surelease) using multivariate analysis.
• To assess the robustness of a model drug product manufactured with varying Surelease batches.

Main Methods:

• Multivariate analysis (MVA) of certificates of analysis for Surelease.
• Analysis of batch relationships based on raw material sourcing.
• Manufacture of a model drug product using Surelease from different raw material lots.
• Dissolution testing of the model drug product using model-dependent and model-independent techniques.

Main Results:

• Multivariate analysis revealed low overall variability in Surelease properties.
• Batches manufactured with the same raw material showed closer relationships in MVA.
• Small differences in model drug release were detected using model-dependent dissolution techniques.
• Model-independent techniques did not detect significant differences in drug release.

Conclusions:

• The applied techniques are suitable for detecting and understanding excipient variability.
• Despite minor detected variability, the model drug product demonstrated robustness.
• Risk assessment of excipients should consider both variability and product performance impact.