Image-based characterization of powder flow to predict the success of pharmaceutical minitablet manufacturing

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http://hdl.handle.net/10138/324439

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Blanco , D , Antikainen , O , Räikkönen , H , Pei Ting Mah , Healy , A M , Juppo , A M & Yliruusi , J 2020 , ' Image-based characterization of powder flow to predict the success of pharmaceutical minitablet manufacturing ' , International Journal of Pharmaceutics , vol. 581 , 119280 . https://doi.org/10.1016/j.ijpharm.2020.119280

Title: Image-based characterization of powder flow to predict the success of pharmaceutical minitablet manufacturing
Author: Blanco, David; Antikainen, Osmo; Räikkönen, Heikki; Pei Ting Mah,; Healy, Anne Marie; Juppo, Anne Mari; Yliruusi, Jouko
Contributor: University of Helsinki, Divisions of Faculty of Pharmacy
University of Helsinki, Division of Pharmaceutical Chemistry and Technology
University of Helsinki, Faculty of Pharmacy
University of Helsinki, Division of Pharmaceutical Chemistry and Technology
University of Helsinki, Divisions of Faculty of Pharmacy
Date: 2020-05-15
Language: eng
Number of pages: 10
Belongs to series: International Journal of Pharmaceutics
ISSN: 0378-5173
URI: http://hdl.handle.net/10138/324439
Abstract: Powder flowability plays an important role in die filling during tablet manufacturing. The present study introduces a novel small-scale measuring technique for powder flow. Based on image analysis, the flow was defined depending on the variation of luminous intensity and the movement of powder inside the measurement cuvette. Using quantities around 100 mg it was possible to characterize a wide range of common pharmaceutical powders, especially in distinguishing subtle differences in flow caused by minor changes in samples characteristics. The method was compared with powder rheometry, which is widely used in the pharmaceutical literature, and showed a significant improvement in predicting the success of pharmaceutical minitablet manufacture (d = 5 mm). Tablet weight variation (RSD) was defined as the most efficient way to assess relevant powder flow behaviour in tablet production when using the novel device. The proposed method was distinguished from others by its ability to classify different grades of microcrystalline cellulose in the die-filling process. Subsequently, eight common pharmaceutical powders, both excipients and APIs, were properly ranked as a function of flowability based on their physical properties. The method showed a high repeatability, with a relative standard deviation not more than 10%.
Subject: Powder flow
Cohesive powders
Tableting
Microcrystalline cellulose
Image analysis
Small scale
FOOD POWDERS
BULK
FLUIDIZATION
FLOWABILITY
317 Pharmacy
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