Modeling of an Active Tablet Coating Process

Toschkoff, Gregor; Just, Sarah; Knop, Klaus; Kleinebudde, Peter; Funke, Adrian; Djurić, Dejan; Scharrer, Georg; Khinast, Johannes G.

doi:10.1002/jps.24621

Cited by 37 publications

(22 citation statements)

References 29 publications

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“…DEM simulation was used to model the tablet‐coating process and demonstrated the modeling of an active tablet‐coating process with DEM simulation. Spray models for discrete‐element simulations of particle‐coating processes have been also developed .…”

Section: Areas Of Technical Challengementioning

confidence: 99%

Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes

Ierapetritou

Muzzio

Reklaitis³

2016

AIChE Journal

133

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Section: Areas Of Technical Challengementioning

confidence: 99%

Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes

Ierapetritou

Muzzio

Reklaitis³

2016

AIChE Journal

133

View full text Add to dashboard Cite

“…Analytical and numerical modelling methods (Freireich and Wassgren, 2010;Toschkoff et al, 2013Toschkoff et al, , 2015Freireich et al, 2015;Boehling et al, 2016;Pei and Elliott, 2017), using the discrete element method (DEM), have recently been employed to investigate inter-and intra-tablet variability during the coating process. Freireich et al (2015) used glued spheres (multi-spheres) to model the shape of the tablet and calculated the dynamics of tablets in a rotating pan.…”

Section: Introductionmentioning

confidence: 99%

“…This method ensures that mass transfer is only applied to surface elements of the tablet that are not obstructed by other tablets in the tablet bed of the coater. The ray-tracing method can also be explicitly implemented to represent trajectories of discrete spray droplets (Toschkoff et al, 2015(Toschkoff et al, , 2013Pei and Elliott, 2017). In this method, the spray droplets are allowed to accumulate on the tablet surface where the locations of accumulations are the intersection points calculated from the direction of the ray and the position of the tablet.…”

Section: Introductionmentioning

confidence: 99%

A quantitative comparison of in-line coating thickness distributions obtained from a pharmaceutical tablet mixing process using discrete element method and terahertz pulsed imaging

Chen

Lin

Markl

et al. 2018

Chemical Engineering Science

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The application of terahertz pulsed imaging (TPI) in the in-line configuration to monitor the coating thickness distribution of pharmaceutical tablets has the potential to improve the performance and quality of the spray coating process. In this study, an in-line TPI method is used to measure coating thickness distributions on pre-coated tablets during mixing in a rotating pan, and compared with results obtained numerically using the discrete element method (DEM) combined with a ray-tracing technique. The hit rates (i.e. the number of successful coating thickness measurements per minute) obtained from both terahertz in-line experiments and the DEM/ray-tracing simulations are in good agreement, and both increase with the number of baffles in the mixing pan. We demonstrate that the coating thickness variability as determined from the ray-traced data and the terahertz in-line measurements represents mainly the intra-tablet variability due to relatively uniform mean coating thickness across tablets. The mean coating thickness of the ray-traced data from the numerical simulations agrees well with the mean coating thickness as determined by the off-line TPI measurements. The mean coating thickness of in-line TPI measurements is slightly higher than that of off-line measurements. This discrepancy can be corrected based on the cap-to-band surface area ratio of the tablet and the cap-to-band sampling ratio obtained from ray-tracing simulations: the corrected mean coating thickness of the in-line TPI measurements shows a better agreement with that of off-line measurements.

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“…With an increasing availability of computational power, numerical simulation are used to understand the film coating process [49][50][51][52][53]. In particular, TPI was used to validate discrete element method (DEM) simulated data on intra-tablet coating thickness distribution where a reasonable agreement with measurement for tablets of different shapes (almond, oval, round and triangular) was observed [52].…”

Section: Process Understandingmentioning

confidence: 99%

Review of Terahertz Pulsed Imaging for Pharmaceutical Film Coating Analysis

Alves-Lima

Song

et al. 2020

Sensors

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Terahertz pulsed imaging (TPI) was introduced approximately fifteen years ago and has attracted a lot of interest in the pharmaceutical industry as a fast, non-destructive modality for quantifying film coatings on pharmaceutical dosage forms. In this topical review, we look back at the use of TPI for analysing pharmaceutical film coatings, highlighting the main contributions made and outlining the key challenges ahead.

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Modeling of an Active Tablet Coating Process

Cited by 37 publications

References 29 publications

Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes

Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes

A quantitative comparison of in-line coating thickness distributions obtained from a pharmaceutical tablet mixing process using discrete element method and terahertz pulsed imaging

Review of Terahertz Pulsed Imaging for Pharmaceutical Film Coating Analysis

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