Modeling tablet film-coating processes

Ketterhagen, William R.; Aliseda, Alberto; Ende, M A; Berchielli, Alfred; Doshi, Pankaj; Freireich, Ben; Prpich, Andrew

doi:10.1016/b978-0-08-100154-7.00010-7

Cited by 11 publications

(13 citation statements)

References 51 publications

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“…These defects are mainly because process parameters are not satisfactory. Therefore, optimization of coating formulations (compositions), process variables, and equipment parameters are critical to obtain the uniform and smooth coating layer [ 27 , 28 ]. Some of process parameters and factors affecting film coating quality are discussed below.…”

Section: Process Parameters and Factors Affecting Film Coating Quamentioning

confidence: 99%

“…The simulation results are compared with experimental data on residence time and intra-particle layer thickness distributions, indicating good agreement between the simulation and experimental measurements [ 106 ]. Several reviews of computational modeling of film-coating processes have been presented elsewhere [ 27 , 28 , 100 ].…”

Section: Recent Technology and Tools Used To Characterize Coated Tmentioning

confidence: 99%

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Pharmaceutical Application of Tablet Film Coating

et al. 2020

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Tablet film coating is a common but critical process providing various functionalities to tablets, thereby meeting diverse clinical needs and increasing the value of oral solid dosage forms. Tablet film coating is a technology-driven process and the evolution of coated dosage forms relies on advancements in coating technology, equipment, analytical techniques, and coating materials. Although multiple coating techniques are developed for solvent-based or solvent-free coating processes, each method has advantages and disadvantages that may require continuous technical refinement. In the film coating process, intra- and inter-batch coating uniformity of tablets is critical to ensure the quality of the final product, especially for active film coating containing active pharmaceutical ingredients in the coating layer. In addition to experimental evaluation, computational modeling is also actively pursued to predict the influence of operation parameters on the quality of the final product and optimize process variables of tablet film coating. The concerted efforts of experiments and computational modeling can save time and cost in optimizing the tablet coating process. This review provides a brief overview of tablet film coating technology and modeling approaches with a focus on recent advancements in pharmaceutical applications.

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Section: Process Parameters and Factors Affecting Film Coating Quamentioning

confidence: 99%

Section: Recent Technology and Tools Used To Characterize Coated Tmentioning

confidence: 99%

Pharmaceutical Application of Tablet Film Coating

et al. 2020

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“…Several studies have described the influence of the operational conditions (rotation speed, fill level, number of nozzles, and spray rate) on the coating uniformity of table in rotating drums [17]. Recently, the discrete element method (DEM) has been used to model and simulate the coating process in pan coater [18] and rotating drum [19,20]. Few studies are mostly applied in pharmaceutical products to make the coating tablets.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Pan Coating Process for Increased Efficiency of Controlled-Release Urea Fertilizer

Trung¹,

An²,

Alam³

et al. 2021

Mater. Plast.

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The goal of the research is to develop an experimental mathematical model of pan coating process effect on the biodegradable polymer and to determine optimal process parameters. The polymer solution was conducted with phosphated di-starch phosphate, polyvinyl alcohol, and polyacrylic acid and performed as material coating for the controlled-release urea fertilizer. The image analysis method has been used to determine the particle size distribution, Sauter mean diameter of the particle and layer thickness that is novel. The central composite rotatable design has been selected to determine the regression models of the process, which described the relationship between two objective variables as layer thickness, release time with angle of pan, spray flow, and coating time. The statistical analysis results indicate the fitness of model.

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“…With the rapid development of modern pharmaceutical production, a wide variety of drugs are devised, and their production processes are now highly complicated. In the production process, drug coating is a process by which a thin continuous layer of solid is applied onto the surface of a tablet to protect drugs from dissolution or disintegration in the stomach (Ketterhagen et al, 2017). It is then of great importance to model and to improve the utilization rate of raw materials in the drug coating process for cost saving and efficiency enhancement.…”

Section: Introductionmentioning

confidence: 99%

Application of Gibbs Sampling in Modelling the Utilization Rate of Raw Materials for Drug Coating

Song¹,

Yuan²,

Ji³

2021

IJSP

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Drug coating is one of the most important processes in the modern pharmaceutical industry. Improving the utilization rate of raw materials (URRM) in the drug coating process is thus important for cost saving and efficiency enhancement. There is little existing research on this topic in the literature of applied statistics. In this paper, motivated by a real dataset collected from a pharmaceutical company in China, we propose to use a novel predictive model that integrates a Bayesian framework with the Gibbs sampling algorithm to characterize the pattern of URRM. Based on certain prior distributional assumptions, the Gibbs sampling algorithm is then applied to sample the posterior distribution of the parameters to obtain more accurate and robust estimation results. By using the proposed method, the drugs can be properly separated into several categories with different patterns of URRM, and the pattern of each category can be properly recognized with selected covariates, which achieves the goals of clustering, variable selection, and regression simultaneously, and provides valuable insights into the improvement of the URRM for drug coating. Numerical studies show that the proposed method works well in practice.

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Modeling tablet film-coating processes

Cited by 11 publications

References 51 publications

Pharmaceutical Application of Tablet Film Coating

Pharmaceutical Application of Tablet Film Coating

Optimization of Pan Coating Process for Increased Efficiency of Controlled-Release Urea Fertilizer

Application of Gibbs Sampling in Modelling the Utilization Rate of Raw Materials for Drug Coating

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