Literature DB >> 20554021

Evaluation of in-line spatial filter velocimetry as PAT monitoring tool for particle growth during fluid bed granulation.

A Burggraeve1, T Van Den Kerkhof, M Hellings, J P Remon, C Vervaet, T De Beer.   

Abstract

In this study, the feasibility of spatial filter velocimetry (SFV) as process analytical technology tool for the in-line monitoring of the particle size distribution during top spray fluidized bed granulation was examined. The influence of several process (inlet air temperature during spraying and drying) and formulation variables (HPMC and Tween 20 concentration) upon the particle size distribution during processing, and the end product particle size distribution, tapped density and Hausner ratio was examined using a design of experiments (DOE) (2-level full factorial design, 19 experiments). The trend in end granule particle size distributions of all DOE batches measured with in-line SFV was similar to the off-line laser diffraction (LD) data. Analysis of the DOE results showed that mainly the HPMC concentration and slightly the inlet air temperature during drying had a positive effect on the average end granule size. The in-line SFV particle size data, obtained every 10s during processing, further allowed to explain and better understand the (in)significance of the studied DOE variables, which was not possible based on the LD data as this technique only supplied end granule size information. The variation in tapped density and Hausner ratio among the end granules of the different DOE batches could be explained by their difference in average end granule size. Univariate, multivariate PLS and multiway N-PLS models were built to relate these end granule properties to the in-line-measured particle size distribution. The multivariate PLS tapped density model and the multiway N-PLS Hausner ratio model showed the highest R(2) values in combination with the lowest RMSEE values (R(2) of 82% with an RMSEE of 0.0279 for tapped density and an R(2) of 52% with an RMSEE of 0.0268 for Hausner ratio, respectively). 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20554021     DOI: 10.1016/j.ejpb.2010.06.001

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


  3 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

Review 2.  Model-Based Scale-Up Methodologies for Pharmaceutical Granulation.

Authors:  Eun Ha Jang; Yun Sang Park; Min-Soo Kim; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2020-05-14       Impact factor: 6.321

Review 3.  Process Analytical Technology Tools for Monitoring Pharmaceutical Unit Operations: A Control Strategy for Continuous Process Verification.

Authors:  Eun Ji Kim; Ji Hyeon Kim; Min-Soo Kim; Seong Hoon Jeong; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2021-06-21       Impact factor: 6.321

  3 in total

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