Identification and characterization of factors controlling tablet coating uniformity in a Wurster coating process

Shelukar, Suhas; Ho, Jennifer E.; Zega, James; Roland, Ed; Yeh, Norman; Quiram, David J.; Nole, Anthony; Katdare, A. V.; Reynolds, Scott

doi:10.1016/s0032-5910(99)00265-x

Cited by 83 publications

(51 citation statements)

References 4 publications

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“…The electromotive force (emf) induced in the coil, as the tracer tablet passed through, was used to measure the CTD (Mann, 1972). Similar measurements in fluidized beds were on 1 mm non-pareils by Cheng and Turton (2000) and on tablets by Shelukar et al (2000). Computer simulations for spherical particles using discrete element method (DEM) have also been used to study the movement of tablets in a rotating drum (Yamane et al, 1995(Yamane et al, , 1998Denis et al, 2003).…”

Section: Introductionmentioning

confidence: 82%

In situ, near real-time acquisition of particle motion in rotating pan coating equipment using imaging techniques

Sandadi¹,

Pandey

Turton

2004

Chemical Engineering Science

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Section: Introductionmentioning

confidence: 82%

In situ, near real-time acquisition of particle motion in rotating pan coating equipment using imaging techniques

Sandadi¹,

Pandey

Turton

2004

Chemical Engineering Science

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“…It has been pointed out that the cycle time distribution (CTD) and the residence time distribution (RTD) in different regions are critical factors in determining the quality of the final product such as the film thickness and the film thickness variability (Cheng X.X. and Turton R., 2000;Shelukar S. et al, 2000;Li L. et al, 2015a). For example, the particles must spend sufficient time in the regions for drying before returning to the horizontal transport region; otherwise, the risk of agglomeration increases due to collisions between wet particles.…”

Section: Introductionmentioning

confidence: 99%

“…The CTD and RTD of particles in similar fluidized beds have been studied using both experimental (Mann V. and Crosby E., 1975;Shelukar S. et al, 2000;San José M.J. et al, 2013;Li L. et al, 2015a) and modeling (Fries L. et al, 2011;Yang S. et al, 2014;Li L. et al, 2015b) methods. It was found that particles spend most of the cycle time in the horizontal transport region and that different residence times in this region can cause a large variability in the cycle time, and therefore a large variability in the film thickness.…”

Section: Introductionmentioning

confidence: 99%

Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Remmelgas

Wachem

et al. 2016

KONA

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Fluidized bed coating has been used to coat pellets or tablets with functional substances for a number of purposes. In this coating process, particle wetting, drying and film formation are coupled to particle motion. It is therefore of interest to study particle motion in such fluidized beds and to use the results to develop a model for predicting the quality of the final product. In this paper, we present results from DEM-CFD simulations, i.e. discrete element method and computational fluid dynamics simulations of particle motion in a laboratory-scale Wurster fluidized bed that was also employed in positron emission particle tracking (PEPT) experiments. As the drag force is the dominant interaction between the gas flow and the particle motion in this type of fluidized bed, the effect of drag models on the particle motion is investigated. More specifically, the particle velocity and residence time distributions of particles in different regions calculated from five different drag models are presented. It is found that the Gidaspow and Tang drag models predict both particle cycle and residence times well. The HKL and Beetstra drag models somewhat overestimate the particle velocity in the Wurster tube and therefore predict a reduced number of recirculations and a significantly shorter cycle time.

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“…DoE consists of an initial screening stage, followed by subsequent optimization. For a long time, optimization has been based on the operator's experience and utilizes a black box approach that relies on final product uniformity (19). In DoE, different process parameters are varied concurrently and several responses are measured.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for a Quasi-Continuous Tablet Coating System Using Design of Experiments

2010

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Abstract. The aim of this study was to identify and optimize the critical process parameters of the newly developed Supercell quasi-continuous coater for optimal tablet coat quality. Design of experiments, aided by multivariate analysis techniques, was used to quantify the effects of various coating process conditions and their interactions on the quality of film-coated tablets. The process parameters varied included batch size, inlet temperature, atomizing pressure, plenum pressure, spray rate and coating level. An initial screening stage was carried out using a 2 6−1(IV) fractional factorial design. Following these preliminary experiments, optimization study was carried out using the Box-Behnken design. Main response variables measured included drug-loading efficiency, coat thickness variation, and the extent of tablet damage. Apparent optimum conditions were determined by using response surface plots. The process parameters exerted various effects on the different response variables. Hence, trade-offs between individual optima were necessary to obtain the best compromised set of conditions. The adequacy of the optimized process conditions in meeting the combined goals for all responses was indicated by the composite desirability value. By using response surface methodology and optimization, coating conditions which produced coated tablets of high drug-loading efficiency, low incidences of tablet damage and low coat thickness variation were defined. Optimal conditions were found to vary over a large spectrum when different responses were considered. Changes in processing parameters across the design space did not result in drastic changes to coat quality, thereby demonstrating robustness in the Supercell coating process.

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Identification and characterization of factors controlling tablet coating uniformity in a Wurster coating process

Cited by 83 publications

References 4 publications

In situ, near real-time acquisition of particle motion in rotating pan coating equipment using imaging techniques

In situ, near real-time acquisition of particle motion in rotating pan coating equipment using imaging techniques

Effect of Drag Models on Residence Time Distributions of Particles in a Wurster Fluidized Bed: a DEM-CFD Study

Optimization of Process Parameters for a Quasi-Continuous Tablet Coating System Using Design of Experiments

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