2020
DOI: 10.1016/j.ijpharm.2019.118727
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Prediction of tablet weight variability in continuous manufacturing

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Cited by 12 publications
(4 citation statements)
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“…Both materials showed a good flow (1.13 and 1.14 for HR) and very good compressibility (11.93 and 12.38 for IC), but it can be affirmed that the calcium lactate synthetized from mussels displays a better ability for direct compression. The results were not at all predictable, as it is unusual for a powder with a natural origin to have superior compressibility than a material specially processed to fulfill this function [26][27][28][29][30][31].…”
Section: Calcium Lactate Pharmacotechnical Propertiesmentioning
confidence: 97%
“…Both materials showed a good flow (1.13 and 1.14 for HR) and very good compressibility (11.93 and 12.38 for IC), but it can be affirmed that the calcium lactate synthetized from mussels displays a better ability for direct compression. The results were not at all predictable, as it is unusual for a powder with a natural origin to have superior compressibility than a material specially processed to fulfill this function [26][27][28][29][30][31].…”
Section: Calcium Lactate Pharmacotechnical Propertiesmentioning
confidence: 97%
“…The resulting model and formulation–tablet press-specific optimum process conditions provided a comprehensive overview of the behaviour of direct compression formulations with varying flow behaviour across a range of press types. The modelling approach used advances the conventional QbD approach, where process-related models and desired processing parameters are generally limited to a single tablet press model [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…Earlier studies have focused on the effect of feeder design and tablet press control strategy on tablet weight variability and optimise designs to reduce tablet weight variability [ 20 , 33 ]. The objective of this study was not to compare the capability of different tablet press designs but to develop a modelling approach to predict how formulations would behave on tablet presses with standard feeder systems and control strategies employed routinely in an industrial setting.…”
Section: Discussionmentioning
confidence: 99%
“…Process modelling facilitates an understanding of these relationships and enables the identification of the target process parameters that achieve the defined product quality attributes. Process modelling allows the analysis of complex interactions between formulation and process parameters and the generation of process knowledge that can then be applied to assure product quality [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%