Literature DB >> 25174556

On-line monitoring of fluid bed granulation by photometric imaging.

Ira Soppela1, Osmo Antikainen2, Niklas Sandler3, Jouko Yliruusi2.   

Abstract

This paper introduces and discusses a photometric surface imaging approach for on-line monitoring of fluid bed granulation. Five granule batches consisting of paracetamol and varying amounts of lactose and microcrystalline cellulose were manufactured with an instrumented fluid bed granulator. Photometric images and NIR spectra were continuously captured on-line and particle size information was extracted from them. Also key process parameters were recorded. The images provided direct real-time information on the growth, attrition and packing behaviour of the batches. Moreover, decreasing image brightness in the drying phase was found to indicate granule drying. The changes observed in the image data were also linked to the moisture and temperature profiles of the processes. Combined with complementary process analytical tools, photometric imaging opens up possibilities for improved real-time evaluation fluid bed granulation. Furthermore, images can give valuable insight into the behaviour of excipients or formulations during product development.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fluid bed granulation; Image analysis; On-line monitoring; Photometric imaging; Powder processing; Process analytical technology

Mesh:

Year:  2014        PMID: 25174556     DOI: 10.1016/j.ejpb.2014.08.009

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  2 in total

1.  Implementation of Dynamic and Static Moisture Control in Fluidized Bed Granulation.

Authors:  Liang Zhong; Lele Gao; Lian Li; Lei Nie; Hui Zhang; Zhongyu Sun; Ruiqi Huang; Zhaobang Zhou; Wenping Yin; Hui Wang; Hengchang Zang
Journal:  AAPS PharmSciTech       Date:  2022-06-24       Impact factor: 3.246

2.  A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control.

Authors:  Liangshan Ming; Zhe Li; Fei Wu; Ruofei Du; Yi Feng
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

  2 in total

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