2019
DOI: 10.1016/j.ijpharm.2019.06.001
|View full text |Cite
|
Sign up to set email alerts
|

Multi-dimensional population balance modelling of pharmaceutical formulations for continuous twin-screw wet granulation: Determination of liquid distribution

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
30
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 52 publications
(33 citation statements)
references
References 29 publications
0
30
0
Order By: Relevance
“…A C C E P T E D ACCEPTED MANUSCRIPT wet granulator, sprayed fluidized bed granulator and depolymerazation as is stipulated in [15,17,18,20,27,34,36].…”
Section: A N U S C R I P Tmentioning
confidence: 99%
“…A C C E P T E D ACCEPTED MANUSCRIPT wet granulator, sprayed fluidized bed granulator and depolymerazation as is stipulated in [15,17,18,20,27,34,36].…”
Section: A N U S C R I P Tmentioning
confidence: 99%
“…Based on the European Public Assessment Reports (EPAR), Leane et al found that >70% of tablet formulations with a specified manufacturing pathway include a wet (55%) or dry (16%) granulation step [ 20 ]. Dry granulation techniques such as roller compaction are often preferred over wet granulation, as these eliminate an additional drying step and are more suitable for moisture-sensitive APIs [ 23 , 24 ]. Wet granulation techniques such as twin screw wet granulation are mainly implemented to obtain a more uniform distribution of the formulation ingredients and when compaction properties do not allow granulation through roller compaction [ 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…The main interest of this work is to approximate the number density function accurately. But for many real-life applications, specifically in chemical engineering and pharmaceutical sciences, the integral properties are of equal interest [33,34,37]. These integral properties are well known as moments calculated from the number density function by the following relation: (5) where…”
Section: Introductionmentioning
confidence: 99%