A PAT Approach to Enhance Process Understanding of Fluid Bed Granulation Using In-line Particle Size Characterization and Multivariate Analysis

  • Jun  HuangEmail author
  • Chimanlall Goolcharran
  • Julia Utz
  • Pedro Hernandez-Abad
  • Krishnendu Ghosh
  • Arwinder Nagi
Research Article


The purpose of this study was to achieve improved process understanding of fluid bed granulation using in-line particle size analyzer in conjunction with multivariate methods. The combined use of process analyzers and multivariate tools provides a useful means to drug development within the framework of quality by design utilizing process analytical technology. The evaluation of in-line monitoring manufacturability quality attributes, particle size, and particle size distribution, was conducted using the Parsum probe which is based on spatial filtering technique. Several granulation batches were manufactured and monitored using a commercial-scale fluid bed granulator. Reference measurements by offline Malvern MasterSizer showed good agreement with those by Parsum at end-of-spray phase. Multivariate/batch statistical process control methods were used to evaluate batch process performance, batch-to-batch variation and develop potential control strategy. The results indicated that the Parsum analyzer is a viable tool for in-line particle size characterization and improved process understanding in combination with multivariate tools.


Parsum Fluid bed granulation Particle size distribution (PSD) Quality by design (QbD) Process analytical technology (PAT) Multivariate statistical process control (MSPC) 



The authors gratefully acknowledge Norbert Straub at Excella, Thirunellai Venkateshwaran, Chun Cai, Victor Wong, and Saly Romero-Torres at Wyeth for constructive discussions and strong support.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Jun  Huang
    • 1
    Email author
  • Chimanlall Goolcharran
    • 1
  • Julia Utz
    • 2
  • Pedro Hernandez-Abad
    • 1
  • Krishnendu Ghosh
    • 1
  • Arwinder Nagi
    • 1
  1. 1.Pfizer IncPearl RiverUSA
  2. 2.Excella GmbHFeuchtGermany

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