Literature DB >> 21356296

Modeling the motion and orientation of various pharmaceutical tablet shapes in a film coating pan using DEM.

William R Ketterhagen1.   

Abstract

Film coating uniformity is an important quality attribute of pharmaceutical tablets. Large variability in coating thickness can limit process efficiency or cause significant variation in the amount or delivery rate of the active pharmaceutical ingredient to the patient. In this work, the discrete element method (DEM) is used to computationally model the motion and orientation of several novel pharmaceutical tablet shapes in a film coating pan in order to predict coating uniformity. The model predictions are first confirmed with experimental data obtained from an equivalent film coating pan using a machine vision system. The model is then applied to predict coating uniformity for various tablet shapes, pan speeds, and pan loadings. The relative effects of these parameters on both inter- and intra-tablet film coating uniformity are assessed. The DEM results show intra-tablet coating uniformity is strongly influenced by tablet shape, and the extent of this can be predicted by a measure of the tablet shape. The tablet shape is shown to have little effect on the mixing of tablets, and thus, the inter-tablet coating uniformity. The pan rotation speed and pan loading are shown to have a small effect on intra-tablet coating uniformity but a more significant impact on inter-tablet uniformity. These results demonstrate the usefulness of modeling in guiding drug product development decisions such as selection of tablet shape and process operating conditions.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21356296     DOI: 10.1016/j.ijpharm.2011.02.045

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  9 in total

1.  Influence of process parameters on tablet bed microenvironmental factors during pan coating.

Authors:  Preetanshu Pandey; Dilbir S Bindra; Linda A Felton
Journal:  AAPS PharmSciTech       Date:  2013-12-10       Impact factor: 3.246

2.  Experimental analysis of tablet properties for discrete element modeling of an active coating process.

Authors:  Sarah Just; Gregor Toschkoff; Adrian Funke; Dejan Djuric; Georg Scharrer; Johannes Khinast; Klaus Knop; Peter Kleinebudde
Journal:  AAPS PharmSciTech       Date:  2013-01-25       Impact factor: 3.246

3.  Impact of Processing Conditions on Inter-tablet Coating Thickness Variations Measured by Terahertz In-Line Sensing.

Authors:  Hungyen Lin; Robert K May; Michael J Evans; Shuncong Zhong; Lynn F Gladden; Yaochun Shen; J Axel Zeitler
Journal:  J Pharm Sci       Date:  2015-06-02       Impact factor: 3.534

4.  Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles.

Authors:  Tongqing Li; Yuxing Peng; Zhencai Zhu; Shengyong Zou; Zixin Yin
Journal:  Materials (Basel)       Date:  2017-05-11       Impact factor: 3.623

5.  Scale-Up Strategy in Quality by Design Approach for Pharmaceutical Blending Process with Discrete Element Method Simulation.

Authors:  Su Bin Yeom; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2019-06-06       Impact factor: 6.321

Review 6.  Application of the Discrete Element Method for Manufacturing Process Simulation in the Pharmaceutical Industry.

Authors:  Su Bin Yeom; Eun-Sol Ha; Min-Soo Kim; Seong Hoon Jeong; Sung-Joo Hwang; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2019-08-15       Impact factor: 6.321

7.  Quality evaluation based on color grading: quality discrimination of the Chinese medicine Corni Fructus by an E-eye.

Authors:  Cui YongXia; Liu RuiXin; Lin ZhaoZhou; Chen PengJu; Wang LiLi; Wang YanLi; Chen SuiQing
Journal:  Sci Rep       Date:  2019-11-18       Impact factor: 4.379

Review 8.  The Future of Pharmaceutical Manufacturing Sciences.

Authors:  Jukka Rantanen; Johannes Khinast
Journal:  J Pharm Sci       Date:  2015-08-17       Impact factor: 3.534

Review 9.  Direct Compaction Drug Product Process Modeling.

Authors:  Alexander Russell; John Strong; Sean Garner; William Ketterhagen; Michelle Long; Maxx Capece
Journal:  AAPS PharmSciTech       Date:  2022-01-31       Impact factor: 3.246

  9 in total

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