Scale-up of a pan-coating process

Pandey, Presstanshu; Turton, Richard; Joshi, Nitin; Hammerman, Elizabeth; Ergun, James

doi:10.1208/pt0704102

Cited by 53 publications

(29 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of these factors have a significant role to play in determining the surface roughness of the coating, and have been addressed by the authors in an entirely separate study. 19 The spray flux distribution within the spray zone was obtained using a patternator (Figure 3), a series of tubes that measure the volume of the spray solution at different locations. 20 The patternator used in the current work was …”

Section: Monte Carlo Simulationsmentioning

confidence: 99%

Modeling weight variability in a pan coating process using Monte Carlo simulations

2006

Self Cite

View full text Add to dashboard Cite

The primary objective of the current study was to investigate process variables affecting weight gain mass coating variability (CV m ) in pan coating devices using novel videoimaging techniques and Monte Carlo simulations. Experimental information such as the tablet location, circulation time distribution, velocity distribution, projected surface area, and spray dynamics was the main input to the simulations. The data on the dynamics of tablet movement were obtained using novel video-imaging methods. The effects of pan speed, pan loading, tablet size, coating time, spray flux distribution, and spray area and shape were investigated. CV m was found to be inversely proportional to the square root of coating time. The spray shape was not found to affect the CV m of the process significantly, but an increase in the spray area led to lower CV m s. Coating experiments were conducted to verify the predictions from the Monte Carlo simulations, and the trends predicted from the model were in good agreement. It was observed that the Monte Carlo simulations underpredicted CV m s in comparison to the experiments. The model developed can provide a basis for adjustments in process parameters required during scale-up operations and can be useful in predicting the process changes that are needed to achieve the same CV m when a variable is altered.

show abstract

Section: Monte Carlo Simulationsmentioning

confidence: 99%

Modeling weight variability in a pan coating process using Monte Carlo simulations

2006

Self Cite

View full text Add to dashboard Cite

show abstract

“…The factors affecting the required inlet air temperature include spray rate, percent solids in coating solution, inlet airflow rate, and inlet air RH. The exhaust temperature is one of the process parameters that are generally kept constant during the pan coating process scale-up (15,26). In early literature, the exhaust temperature was assumed to be the same as the tablet bed temperature.…”

Section: Exhaust Temperaturementioning

confidence: 99%

Influence of Process Parameters on Tablet Bed Microenvironmental Factors During Pan Coating

2013

Self Cite

View full text Add to dashboard Cite

Abstract. Recent studies have shown the importance of monitoring microenvironmental conditions (temperature, relative humidity) experienced by the tablet bed during a pan coating process, thereby necessitating the need to understand how various process parameters influence these microenvironmental conditions. The process parameters studied in this work include exhaust air temperature, spray rate, inlet airflow rate, gun-to-bed distance, coating suspension percent solids, and atomization and pattern air pressure. Each of these process parameters was found to have an impact on the tablet bed relative humidity (RH), as measured using PyroButton data logging devices. A higher tablet bed RH was obtained with an increase in spray rate and atomization air pressure and with a decrease in exhaust air temperature, inlet airflow rate, gun-to-bed distance, suspension percent solids, and pattern air pressure. Based on this work, it can be concluded that the tablet bed thermodynamic conditions are a cumulative effect of the various process conditions. A strong correlation between the tablet bed RH and the frequency of tablet coating defect (logo bridging) was established, with increasing RH resulting in a higher percent of logo bridging events.

show abstract

“…However, this type of analysis results in information specific to a single formulation/product and equipment with predictive ability restricted only to the studied range of parameters. More recently fundamental studies to understand the physics behind the coating process are being conducted and also fundamental scale‐up principles have been proposed …”

Section: Introductionmentioning

confidence: 99%