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      In-line monitoring of particle size in a fluid bed granulator: Investigations concerning positioning and configuration of the sensor

      Author(s): , ,   ,
      Publication date Created:
      Publication date (Print):
      Journal: International Journal of Pharmaceutics
      Publisher: Elsevier BV

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          Process control and end-point determination of a fluid bed granulation by application of near infra-red spectroscopy

          P Frake, D. Greenhalgh, S.M. Grierson … (1997)
          Article 0 comments Cited 19 times – based on 0 reviews     Review now
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            Process analytical tools for monitoring, understanding, and control of pharmaceutical fluidized bed granulation: A review

            Anneleen Burggraeve, Tinne Monteyne, Chris Vervaet … (2013)
            Article 0 comments Cited 17 times – based on 0 reviews     Review now
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              Process control and scale-up of pharmaceutical wet granulation processes: a review.

              A. Faure, P. York, R.C. Rowe (2001)
              In this paper the techniques for process control and scale-up of pharmaceutical wet granulation processes are reviewed. For wet granulation in high-shear mixers, specific methods based on the liquid saturation and the consistency of the wet mass are described. Both parameters can be used to quantify the deformability of the wet granules, and relate well with the particle size of the end granules. In practice, the power consumption of the high-shear mixer is used for the monitoring of the wet granulation process, whilst for scale-up, it is helpful to use the underlying relationship between power consumption and saturation level or wet mass consistency. In fluid bed granulation the granulation process is different and the moisture content in the bed is the key parameter to control. This can be monitored directly by near infrared probes or indirectly with temperature probes. As a large number of inter-related variables can be adjusted to modify the process, computerized techniques have become popular for fluid-bed process control--fuzzy logic, neural networks, and models based on experimental design techniques are several examples. In addition, engineering techniques based on particle size population balance modelling are under development for both fluid bed and high-shear granulation.
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                Author and article information

                Journal
                Title: International Journal of Pharmaceutics
                Abbreviated Title: International Journal of Pharmaceutics
                Publisher: Elsevier BV
                ISSN (Print): 03785173
                Publication date Created: May 2014
                Publication date (Print): May 2014
                Volume: 466
                Issue: 1-2
                Pages: 31-37
                Article
                DOI: 10.1016/j.ijpharm.2014.02.044
                PubMed ID: 24589125
                SO-VID: ac344216-1beb-47d6-bcc9-ac9c8f6ebf7d
                Copyright © © 2014
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