Advances in Analysis and Modeling of Solid Drug Product
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Physical Pharmacy and Formulation".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 102
Special Issue Editors
Interests: pharmaceutical engineering; process and equipment design; (bio-)pharmaceutical plant design
Special Issues, Collections and Topics in MDPI journals
Interests: process systems engineering; pharmaceutical engineering; mechanistic modeling; data-driven modeling; continuous manufacturing; process design; process control; particle technology
Special Issue Information
Dear Colleagues,
Solid drug products are traditional but still the most popular dosage forms, requiring further research. In the last couple of years, there have been huge advances in experimental analysis and modeling of solid drug product manufacturing processes. High attention to digitalization has triggered research of real-time release testing and process control, leading to the new concept of Pharma 4.0. Significant improvement in computational power has also contributed to the progress of modeling studies, e.g., mechanistic, data-driven, and hybrid modeling.
Moreover, pharmaceutical science and engineering have joined forces, leading to exciting breakthroughs in solid drug product manufacturing. Experts are developing and using Process Analytical Technology (PAT) tools to bring new fundamental insights regarding the process while monitoring and improving production by use of advanced process control (APC). PAT uses sensors and instruments to monitor every step of manufacturing, measuring important details. This helps them understand the process better, make quick adjustments for the best quality, and support real-time release testing (RTRT) of the drug product. For example, it can even keep an eye on granule size during a critical stage like wet granulation and provide instant feedback for improvements.
The Special Issue aims to bring state-of-the-art research, critical reviews, and perspectives related to the current status and challenges in the analysis and modeling of solid drug product manufacturing processes. Research areas may include (but are not limited to) the following: design of experiments, data-driven modeling/analysis, mechanistic modeling, hybrid modeling, uncertainty analysis, and real-time monitoring/release testing. In this Special Issue, original research articles and reviews are welcome. We look forward to receiving your contributions.
Prof. Dr. Ashish Kumar
Dr. Kensaku Matsunami
Guest Editors
Manuscript Submission Information
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Keywords
- design-of-experiments (DoE)
- data-driven modeling/analysis
- mechanistic modeling
- hybrid modeling
- uncertainty analysis
- real-time monitoring/release testing
- digitalization
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