Rapid automated process development of a continuous capsule-filling process

Bernhard Wagner, Thomas Brinz*, Stephanie Otterbach, Johannes Khinast

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper introduces a rapid automated process-development approach for a continuous capsule-filling process. In our proposed method, both the material attributes and the critical process parameters were varied to understand and to optimize the overall process. Using our approach a statistical process model can be generated with unprecedented speed (2 days), which is the prerequisite for effectively developing and operating continuous process platforms. In a first set of experiments a process model was developed using different mixture compositions of ascorbic acid, lactose and magnesium stearate while changing simultaneously the critical process parameters of the capsule filler (speed, pressure, immersion depth and powder bed height). Targets of the model were the mean fill weight and the relative standard deviation of the produced capsules. In a second experimental set the model was tested, i.e., the goal was to predict the behavior of the system at different set points in order to predict weight and relative standard deviation for predefined targets. Predictions were very good, thus validating our approach. The combination of the rapid automated process development approach and the continuous capsule-filling process resulted in a new strategy for the development and manufacture of pharmaceutical dosage forms.

Original languageEnglish
Pages (from-to)154-165
Number of pages12
JournalInternational Journal of Pharmaceutics
Issue number1-2
Publication statusPublished - 30 Jul 2018


  • Automated capsule filling
  • Continuous capsule filling
  • Design of experiments
  • Optimized process
  • Process modeling
  • Rapid automated process development

ASJC Scopus subject areas

  • Pharmaceutical Science


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