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Scale‐up issues in the tableting process, such as capping, sticking, or differences in tablet thickness, are often observed at the commercial production scale.
Three different lubricated blends were compressed into tablets using a laboratory tableting machine equipped with SAS punches, and any differences in tablet thickness or capping phenomenon were observed.
The blends were compressed using a two by three experimental design, varying tablet fill cam depth and tablet thickness, respectively.
This is probably attributed to the transmittance spectra which sensitively reflect the differences in tablet thickness or shape as a result of obtaining information inside the tablets.
When a lubricated blend is compressed into tablets, the tablet thickness produced by the commercial tablet press is often thicker than that by a laboratory tablet press.
The resulting tablet thickness using this second SAS punch on a laboratory tablet press was thicker than when using a conventional punch in the same laboratory tablet press.
Similar(50)
Thus, the objective of this study is to use NIRS to develop multivariate calibration models to predict tablet coat thickness and release rate for tablets coated with varying polymer ratios.
Our optimization objective mainly considers the minimization of tablet's thickness D x).
A combined discrete element method (DEM)–Monte Carlo simulation algorithm is used to investigate intra-tablet coating thickness variability for six pharmaceutical tablet shapes.
Discrete element method (DEM) computer simulations are used to investigate intra-tablet coating thickness variability.
Tableting process parameters were adjusted to obtain uniform tablet weight and thickness.
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