期刊
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
卷 158, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ejps.2020.105655
关键词
Amorphous solid dispersion; Hot-melt extrusion; Quality by Design; Design of Experiments; Control strategy
资金
- National Institute of General Medical Sciences (NIGMS) a component of the National Institutes of Health (NIH) [P30GM122733-01A1]
The application of Quality by Design (QbD) has a significant impact on the development of amorphous solid dispersions (ASDs) using hot-melt extrusion (HME) technique. Understanding critical quality and material attributes is essential for optimizing formulation and process variables in the production of HME-based ASDs. The selection and implementation of appropriate Design of Experiments (DoE) methodology remains a major challenge in this field.
An industrially feasible approach to overcome the solubility and bioavailability limitations of poorly soluble active pharmaceutical ingredients is the development of amorphous solid dispersions (ASDs) using hot-melt extrusion (HME) technique. The application of Quality by Design (QbD) had a profound impact on the development of HME-based ASDs. The formulation and process optimization of ASDs manufactured via HME techniques require an understanding of critical quality attributes, critical material attributes, critical process parameters, risk assessment tools, and experimental designs. The knowledge gained from each of these QbD elements helps ensure the consistency of product quality. The selection and implementation of appropriate Design of Experiments (DoE) methodology to screen and optimize the formulation and process variables remain a major challenge. This review provides a comprehensive overview on QbD concepts in HME-based ASDs with an emphasis on DoE methodologies. Further, the information provided in this review can assist researchers in selecting a suitable design with optimal experimental conditions. Specifically, this review has focused on the prediction of drug-polymer miscibility, the elements and sequence of QbD, and various screening and optimization designs, to provide insights into the formulation and process variables that are encountered routinely in the production of HME-based ASDs.
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