A quality by design approach to understand formulation and process variability in pharmaceutical melt extrusion processes

Author:

Patwardhan Ketaki1,Asgarzadeh Firouz2,Dassinger Thomas3,Albers Jessica3,Repka Michael A14

Affiliation:

1. Department of Pharmaceutics & Drug Delivery, The University of Mississippi, University, MS, USA

2. Pharma Polymers & Services, Evonik Corporation, Piscataway, NJ, USA

3. Pharma Polymers & Services, Evonik Corporation, Darmstadt, Germany

4. Pii Center for Pharmaceutical Technology, The University of Mississippi, University, MS, USA

Abstract

Abstract Objectives In this study, the principles of quality by design (QbD) have been uniquely applied to a pharmaceutical melt extrusion process for an immediate release formulation with a low melting model drug, ibuprofen. Methods Two qualitative risk assessment tools – Fishbone diagram and failure mode effect analysis – were utilized to strategically narrow down the most influential parameters. Selected variables were further assessed using a Plackett-Burman screening study, which was upgraded to a response surface design consisting of the critical factors to study the interactions between the study variables. In process torque, glass transition temperature (Tg) of the extrudates, assay, dissolution and phase change were measured as responses to evaluate the critical quality attributes (CQAs) of the extrudates. The effect of each study variable on the measured responses was analysed using multiple regression for the screening design and partial least squares for the optimization design. Key findings Experimental limits for formulation and process parameters to attain optimum processing have been outlined. A design space plot describing the domain of experimental variables within which the CQAs remained unchanged was developed. Conclusions A comprehensive approach for melt extrusion product development based on the QbD methodology has been demonstrated. Drug loading concentrations between 40- 48%w/w and extrusion temperature in the range of 90–130°C were found to be the most optimum.

Publisher

Oxford University Press (OUP)

Subject

Pharmaceutical Science,Pharmacology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3