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Non-destructive Determination of Disintegration Time and Dissolution in Immediate Release Tablets by Terahertz Transmission Measurements

Overview of attention for article published in Pharmaceutical Research, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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7 tweeters
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1 Facebook page
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1 Google+ user

Citations

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17 Dimensions

Readers on

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39 Mendeley
Title
Non-destructive Determination of Disintegration Time and Dissolution in Immediate Release Tablets by Terahertz Transmission Measurements
Published in
Pharmaceutical Research, February 2017
DOI 10.1007/s11095-017-2108-4
Pubmed ID
Authors

Daniel Markl, Johanna Sauerwein, Daniel J. Goodwin, Sander van den Ban, J. Axel Zeitler

Abstract

The aim of this study was to establish the suitability of terahertz (THz) transmission measurements to accurately measure and predict the critical quality attributes of disintegration time and the amount of active pharmaceutical ingredient (API) dissolved after 15, 20 and 25 min for commercial tablets processed at production scale. Samples of 18 batches of biconvex tablets from a production-scale design of experiments study into exploring the design space of a commercial tablet manufacturing process were used. The tablet production involved the process steps of high-shear wet granulation, fluid-bed drying and subsequent compaction. The 18 batches were produced using a 4 factor split plot design to study the effects of process changes on the disintegration time. Non-destructive and contactless terahertz transmission measurements of the whole tablets without prior sample preparation were performed to measure the effective refractive index and absorption coefficient of 6 tablets per batch. The disintegration time (R (2) = 0.86) and API dissolved after 15 min (R (2) = 0.96) linearly correlates with the effective refractive index, n eff, measured at terahertz frequencies. In contrast, no such correlation could be established from conventional hardness measurements. The magnitude of n eff represents the optical density of the sample and thus it reflects both changes in tablet porosity as well as granule density. For the absorption coefficient, α eff, we observed a better correlation with dissolution after 20 min (R (2) = 0.96) and a weaker correlation with disintegration (R (2) = 0.83) compared to n eff. The measurements of n eff and α eff provide promising predictors for the disintegration and dissolution time of tablets. The high penetration power of terahertz radiation makes it possible to sample a significant volume proportion of a tablet without any prior sample preparation. Together with the short measurement time (seconds), the potential to measure content uniformity and the fact that the method requires no chemometric models this technology shows clear promise to be established as a process analyser to non-destructively predict critical quality attributes of tablets.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Other 7 18%
Unspecified 6 15%
Researcher 6 15%
Student > Master 5 13%
Other 7 18%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 12 31%
Unspecified 10 26%
Engineering 6 15%
Chemical Engineering 4 10%
Physics and Astronomy 3 8%
Other 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 November 2017.
All research outputs
#1,789,064
of 12,189,304 outputs
Outputs from Pharmaceutical Research
#188
of 1,954 outputs
Outputs of similar age
#67,241
of 329,023 outputs
Outputs of similar age from Pharmaceutical Research
#4
of 20 outputs
Altmetric has tracked 12,189,304 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,954 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% of its peers.
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 329,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.