RTD modeling of a continuous dry granulation process for process control and materials diversion

2017 ◽  
Vol 528 (1-2) ◽  
pp. 334-344 ◽  
Author(s):  
Julia Kruisz ◽  
Jakob Rehrl ◽  
Stephan Sacher ◽  
Isabella Aigner ◽  
Martin Horn ◽  
...  
Talanta ◽  
2012 ◽  
Vol 100 ◽  
pp. 293-302 ◽  
Author(s):  
Anneleen Burggraeve ◽  
Ana F.T. Silva ◽  
Tom Van Den Kerkhof ◽  
Mario Hellings ◽  
Chris Vervaet ◽  
...  

2020 ◽  
Vol 13 (12) ◽  
pp. 473
Author(s):  
Bjad K. Almutairy ◽  
El-Sayed Khafagy ◽  
Ahmed Alalaiwe ◽  
Mohammed F. Aldawsari ◽  
Saad M. Alshahrani ◽  
...  

Maximization of drug-loading can significantly reduce the size of dosage form and consequently decrease the cost of manufacture. In this research, two challenges were addressed: poor flow and tableting problems of high-drug loading (>70%) formulation of canagliflozin (CNG), by adopting the moisture-activated dry granulation (MADG) process. In this method, heating and drying steps were omitted so, called green granulation process. A 32 full-factorial design was performed for optimization of key process variables, namely the granulation fluid level (X1) and the wet massing time (X2). Granulation of CNG was carried out in the presence of polyvinylpyrrolidone, and the prepared granules were compressed into tablets. Regression analysis demonstrated the significant (p ≤ 0.05) effect of X1 and X2 on properties of granules and corresponding tablets, with pronounced impact of X1. Additionally, marked improvement of granules’ properties and tableting of CNG were observed. Furthermore, the optimized process conditions that produced good flow properties of granules and acceptable tablets were high level of granulation fluid (3.41% w/w) and short wet massing time (1.0 min). Finally, the MADG process gives the opportunity to ameliorate the poor flow and tableting problems of CNG with lower amounts of excipients, which are important for successful development of uniform dosage unit.


Carbon ◽  
2015 ◽  
Vol 94 ◽  
pp. 439-447 ◽  
Author(s):  
Seiji Okazaki ◽  
Kenta Hamai ◽  
Aditya F. Arif ◽  
Takashi Ogi ◽  
Kikuo Okuyama

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