Prediction of Pharmaceutical Product Properties by Compression Test of Wet Granulated Masses

Matsui, Yasuhiro; Ando, Yuta; Murakami, Takayuki; Watano, Satoru

doi:10.4164/sptj.56.328

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Powder states during the wet granulation in the experiments were expected to be funicular or capillary stages according to the calculated values of α. It is known that a high L/S ratio increases torque in a funicular or capillary stage because of the effect of capillary bridge forces on granule agglomeration [41,42]. Capillary bridge forces can generate static surface tension forces and dynamic forces [43].…”

Section: Assessment Of Torque Profilementioning

confidence: 99%

Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation

et al. 2021

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Toward further implementation of continuous tablet manufacturing, one key issue is the time needed for start-up operation because it could lead to lower product yield and reduced economic performance. The behavior of the start-up operation is not well understood; moreover, the definition of the start-up time is still unclear. This work investigates the effects of process parameters on the start-up operation in continuous wet granulation, which is a critical unit operation in solid drug manufacturing. The profiles of torque and granule size distribution were monitored and measured for the first hour of operation, including the start-up phase. We analyzed the impact of process parameters based on design of experiments and performed an economic assessment to see the effects of the start-up operation. The torque profiles indicated that liquid-to-solid ratio and screw speed would affect the start-up operation, whereas different start-up behavior resulted in different granule size. Depending on the indicator used to define the start-up operation, the economic optimal point was significantly different. The results of this study stress that the start-up time differs according to the process parameters and used definition, e.g., indicators and criteria. This aspect should be considered for the further study and regulation of continuous manufacturing.

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Section: Assessment Of Torque Profilementioning

confidence: 99%

Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation

et al. 2021

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Quantitative analysis of wet kneading states by a novel compression test

Matsumoto,

Ohsaki,

Nakamura

et al. 2024

Advanced Powder Technology

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Analysis of Continuous Manufacturing Process of Oral Solid Dosage Using Neural Network

et al. 2021

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In this study, a neural network (NN) was applied to a continuous manufacturing process of tablets to predict the tablet physical properties based on a twin-screw granulation operating conditions and tableting pressure. The hyperparameters in the NN model were optimized to accurately predict the tablet physical properties. The constructed NN model successfully demonstrated the predictive capability with the R 2 of ca. 0.9 in both training and validation. The effects of the granulation operating conditions and the tableting pressure on the tablet physical properties were investigated. It was found that the tableting pressure was the most dominant factor for the tablet hardness and disintegration time. Among the granulation operating conditions, liquid solid ratio had the strongest impact on the tablet physical properties. Focusing on the tableting pressure and liquid solid ratio, the contour maps for the relationships between the operating conditions and the tablet physical properties were obtained by the NN model. It was suggested that the obtained contour maps can be helpful to predict the continuous manufacturing of tablets with the desired tablet physical properties.

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Prediction of Pharmaceutical Product Properties by Compression Test of Wet Granulated Masses

Cited by 4 publications

References 16 publications

Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation

Analysis of the Effects of Process Parameters on Start-Up Operation in Continuous Wet Granulation

Quantitative analysis of wet kneading states by a novel compression test

Analysis of Continuous Manufacturing Process of Oral Solid Dosage Using Neural Network

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