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Experimental Analysis of Tablet Properties for Discrete Element Modeling of an Active Coating Process

Overview of attention for article published in AAPS PharmSciTech, January 2013
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Title
Experimental Analysis of Tablet Properties for Discrete Element Modeling of an Active Coating Process
Published in
AAPS PharmSciTech, January 2013
DOI 10.1208/s12249-013-9925-5
Pubmed ID
Authors

Sarah Just, Gregor Toschkoff, Adrian Funke, Dejan Djuric, Georg Scharrer, Johannes Khinast, Klaus Knop, Peter Kleinebudde

Abstract

Coating of solid dosage forms is an important unit operation in the pharmaceutical industry. In recent years, numerical simulations of drug manufacturing processes have been gaining interest as process analytical technology tools. The discrete element method (DEM) in particular is suitable to model tablet-coating processes. For the development of accurate simulations, information on the material properties of the tablets is required. In this study, the mechanical parameters Young's modulus, coefficient of restitution (CoR), and coefficients of friction (CoF) of gastrointestinal therapeutic systems (GITS) and of active-coated GITS were measured experimentally. The dynamic angle of repose of these tablets in a drum coater was investigated to revise the CoF. The resulting values were used as input data in DEM simulations to compare simulation and experiment. A mean value of Young's modulus of 31.9 MPa was determined by the uniaxial compression test. The CoR was found to be 0.78. For both tablet-steel and tablet-tablet friction, active-coated GITS showed a higher CoF compared with GITS. According to the values of the dynamic angle of repose, the CoF was adjusted to obtain consistent tablet motion in the simulation and in the experiment. On the basis of this experimental characterization, mechanical parameters are integrated into DEM simulation programs to perform numerical analysis of coating processes.

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Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
Belgium 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Student > Master 15 16%
Researcher 14 15%
Student > Postgraduate 7 8%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 16 17%
Readers by discipline Count As %
Engineering 32 34%
Chemical Engineering 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 10 11%
Medicine and Dentistry 4 4%
Physics and Astronomy 2 2%
Other 10 11%
Unknown 25 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 February 2013.
All research outputs
#18,327,422
of 22,694,633 outputs
Outputs from AAPS PharmSciTech
#1,222
of 1,466 outputs
Outputs of similar age
#217,679
of 280,879 outputs
Outputs of similar age from AAPS PharmSciTech
#17
of 19 outputs
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