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A novel use of friability testing for characterising ribbon milling behaviour

Overview of attention for article published in European Journal of Pharmaceutics & Biopharmaceutics, April 2016
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Article details
Title
A novel use of friability testing for characterising ribbon milling behaviour
Published in
European Journal of Pharmaceutics & Biopharmaceutics, April 2016
DOI 10.1016/j.ejpb.2016.03.034
Pubmed ID
Authors
Abstract

Dry granulation using roll compaction (DGRC) becomes increasingly adopted in the pharmaceutical industry due to its unique advantage of not requiring liquid binder and a subsequent drying process. However the DGRC process presents also some challenges, in particular, high fine fraction generated during the milling stage significantly limits its application. Although the fines produced can be recycled in practice, it may lead to poor content uniformity of the final product. At present there is a lack of mechanistic understanding of milling of roll compacted ribbons. For instance, it is not clear how fines are generated, what are the dominant mechanisms and controlling attributes and if any measurement technique can be used to characterise ribbon milling behaviour. Therefore, the aim of this paper was to assess if ribbon milling behaviour can be assessed using some characterization methods. For this purpose, friability was evaluated for ribbons made of microcrystalline cellulose (MCC) powders using a friability tester that was originally developed for characterising the tendency of pharmaceutical tablets to generate small pieces while being abraded. Granules were also produced by milling of the ribbons and their size distributions were analysed. The correlation between the fine fraction of the granules with ribbon friability was then explored. It was found that there was a strong correlation between ribbon friability and the fine fraction of granules generated during milling. This implies that friability tests can be performed to characterise ribbon milling behaviour, and ribbon friability provides a good indication of the fraction of fines generated during ribbon milling.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 5 17%
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Researcher 3 10%
Student > Doctoral Student 2 7%
Other 4 14%
Unknown 5 17%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 24%
Engineering 6 21%
Chemical Engineering 4 14%
Medicine and Dentistry 2 7%
Materials Science 2 7%
Other 2 7%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2016.
All research outputs
#23,298,365
of 34,361,833 outputs
Outputs from European Journal of Pharmaceutics & Biopharmaceutics
#2,471
of 3,477 outputs
Outputs of similar age
#208,519
of 338,441 outputs
Outputs of similar age from European Journal of Pharmaceutics & Biopharmaceutics
#35
of 51 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 338,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.