PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 21, 2026Computers & Chemical Engineering0 citationsOpen Access

PharmaPy 2.0: Dynamic process modeling and analysis of end-to-end continuous pharmaceutical manufacturing

View Full Paper
MSMohammad ShahabKMKensaku MatsunamiZNZoltan K. Nagy

Key Points

  • The aim is to enhance the PharmaPy framework for comprehensive assessment of product quality in continuous pharmaceutical manufacturing.
  • Expanded model library to include drug product unit operations
  • Integration of drug substance and product parameters
  • Dynamic simulation of direct compaction and dry granulation
  • Sensitivity and feasibility analysis on critical input variables
  • Enhanced framework supports end-to-end dynamic study of pharmaceutical processes
  • Identified critical input variables impacting product quality
  • Improves decision-making from research to manufacturing stages

Abstract

As pharmaceutical manufacturing transitions from traditional batch processes to continuous manufacturing (CM), there is a need for CM design and development tools that integrate drug substance and drug product unit operations to enable a comprehensive assessment of product quality. PharmaPy, a Python-based framework was recently proposed to advance CM. The original model library, however, only covered drug substance processing. In this work, new capabilities, including drug product unit operations such as feeder, blender, roller compactor, milling, and tablet press, have been added to the PharmaPy framework, enabling end-to-end dynamic study of direct compaction and dry granulation processes. The platform supports the integration of drug substance and product parameters to evaluate their combined impact on final product quality attributes. Sensitivity and feasibility analysis are performed on the integrated simulator to identify critical input variables and their corresponding design spaces for achieving desired product quality. The dynamic response of process models is studied through step changes in input variables. The enhanced PharmaPy package can now support decision-making from early research and development stages through manufacturing.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shahab et al. (2026) studied this question.

synapsesocial.com/papers/69994b01873532290d01f3eehttps://doi.org/10.1016/j.compchemeng.2026.109593
Ask AI
Helpful
Bookmark
Share
View Full Paper