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Formation of Dispersible Taohong Siwu Tablets
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Comparative analysis of tablet dissolution behavior: Batch vs. Continuous direct compression.

Kensaku Matsunami1, Alexander Ryckaert1, Hanne Verrecas2

  • 1Pharmaceutical Engineering Research Group (PharmaEng), Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000 Oost-Vlaanderen, Belgium.

International Journal of Pharmaceutics
|March 28, 2025
PubMed
Summary
This summary is machine-generated.

This study shows batch trials can predict continuous manufacturing tablet dissolution. This approach facilitates efficient process design for continuous direct compression (CDC) tablet production.

Keywords:
Continuous manufacturingData-driven modelDirect compressionDissolution testingSimilarity factorTabletTransferability

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Area of Science:

  • Pharmaceutical Manufacturing
  • Process Engineering
  • Drug Delivery

Background:

  • Continuous manufacturing offers advantages over batch processing but requires early adoption of industrial equipment.
  • Batch processes necessitate extensive scale-up studies, which continuous processes can circumvent.
  • Utilizing batch trials for early-stage design can streamline the transition to continuous manufacturing.

Purpose of the Study:

  • To compare the dissolution behavior of tablets produced by batch and Continuous Direct Compression (CDC) methods.
  • To assess the transferability of batch trial data for designing continuous manufacturing processes.
  • To evaluate predictive models for continuous manufacturing based on batch data.

Main Methods:

  • Immediate-release tablets with ibuprofen were manufactured using batch and CDC methods.
  • A Design of Experiments (DoE) approach varied formulation properties and tensile strength.
  • Dissolution behavior was analyzed using similarity factor (f2), Weibull modeling with Partial Least Squares (PLS) regression, and Gaussian Process Regression (GPR).

Main Results:

  • Identical dissolution profiles were observed between batch and CDC tablets when formulations and tensile strength were matched.
  • Deviations in dissolution were primarily attributed to variations in actual tensile strength.
  • The Gaussian Process Regression (GPR) model, trained solely on batch data, accurately predicted CDC dissolution profiles (mean R² = 0.910).

Conclusions:

  • Batch trials can effectively predict the dissolution behavior of tablets manufactured via Continuous Direct Compression (CDC).
  • The transferability of batch data is confirmed, enabling robust formulation and process design for continuous manufacturing.
  • This approach enhances the efficiency of developing continuous manufacturing processes for solid dosage forms.