Literature DB >> 18931917

Particle size, moisture, and fluidization variations described by indirect in-line physical measurements of fluid bed granulation.

Tanja Lipsanen1, Tero Närvänen, Heikki Räikkönen, Osmo Antikainen, Jouko Yliruusi.   

Abstract

The aim of this study was to evaluate an instrumentation system for a bench scale fluid bed granulator to determine the parameters expressing the changing conditions during the spraying phase of a fluid bed process. The study focused mainly on four in-line measurements (dependent variables): fluidization parameter (calculated by inlet air flow rate and rotor speed), pressure difference over the upper filters, pressure difference over the granules (lower filter), and temperature of the fluidizing mass. In-line particle size measured by the spatial filtering technique was an essential predictor variable. Other physical process measurements of the automated granulation system, 25 direct and 12 derived parameters, were also utilized for multivariate modeling. The correlation and partial least squares analyses revealed significant relationships between various process parameters highlighting the particle size, moisture, and fluidization effect. Fluidization parameter and pressure difference over upper filters were found to correlate with in-line particle size and therefore could be used as estimates of particle size during granulation. The pressure difference over the granules and the temperature of the fluidizing mass expressed the moisture conditions of wet granulation. The instrumentation system evaluated here is an invaluable aid to gaining more control for fluid bed processing to obtain repeatable granules for further processing.

Mesh:

Year:  2008        PMID: 18931917      PMCID: PMC2628273          DOI: 10.1208/s12249-008-9147-4

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  13 in total

1.  The characterization of fluidization behavior using a novel multichamber microscale fluid bed.

Authors:  Eetu Räsänen; Jukka Rantanen; Jukka-Pekka Mannermaa; Jouko Yliruusi
Journal:  J Pharm Sci       Date:  2004-03       Impact factor: 3.534

2.  Next generation fluidized bed granulator automation.

Authors:  J Rantanen; M Känsäkoski; J Suhonen; J Tenhunen; S Lehtonen; T Rajalahti; J P Mannermaa; J Yliruusi
Journal:  AAPS PharmSciTech       Date:  2000-05-06       Impact factor: 3.246

3.  Process analysis of fluidized bed granulation.

Authors:  J Rantanen; A Jørgensen; E Räsänen; P Luukkonen; S Airaksinen; J Raiman; K Hänninen; O Antikainen; J Yliruusi
Journal:  AAPS PharmSciTech       Date:  2001-10-17       Impact factor: 3.246

4.  Importance of inlet air velocity in fluid bed drying of a granulation prepared in a high shear granulator.

Authors:  J Z Gao; D B Gray; R Motheram; M A Hussain
Journal:  AAPS PharmSciTech       Date:  2000-09-21       Impact factor: 3.246

5.  A new method to predict flowability using a microscale fluid bed.

Authors:  Eetu Räsänen; Osmo Antikainen; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2003-10-20       Impact factor: 3.246

Review 6.  Process analytical technology in the pharmaceutical industry: a toolkit for continuous improvement.

Authors:  Bradley Scott; Anne Wilcock
Journal:  PDA J Pharm Sci Technol       Date:  2006 Jan-Feb

7.  Novel description of a design space for fluidised bed granulation.

Authors:  Tanja Lipsanen; Osmo Antikainen; Heikki Räikkönen; Sari Airaksinen; Jouko Yliruusi
Journal:  Int J Pharm       Date:  2007-05-29       Impact factor: 5.875

8.  Effect of fluidisation activity on end-point detection of a fluid bed drying process.

Authors:  Tanja Lipsanen; Osmo Antikainen; Heikki Räikkönen; Sari Airaksinen; Jouko Yliruusi
Journal:  Int J Pharm       Date:  2008-01-31       Impact factor: 5.875

9.  Controlling granule size by granulation liquid feed pulsing.

Authors:  Tero Närvänen; Tanja Lipsanen; Osmo Antikainen; Heikki Räikkönen; Jouko Yliruusi
Journal:  Int J Pharm       Date:  2008-02-09       Impact factor: 5.875

10.  Gaining fluid bed process understanding by in-line particle size analysis.

Authors:  Tero Närvänen; Tanja Lipsanen; Osmo Antikainen; Heikki Räikkönen; Jyrki Heinämäki; Jouko Yliruusi
Journal:  J Pharm Sci       Date:  2009-03       Impact factor: 3.534

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