A generalized image analytical algorithm for investigating tablet disintegration
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
A generalized image analytical algorithm for investigating tablet disintegration. / Wu, Jian X.; Balantic, Emma; van der Berg, Franciscus Winfried J; Rantanen, Jukka; Nissen, Birgitte; Friderichsen, Anders V.
In: International Journal of Pharmaceutics, Vol. 623, 121847, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - A generalized image analytical algorithm for investigating tablet disintegration
AU - Wu, Jian X.
AU - Balantic, Emma
AU - van der Berg, Franciscus Winfried J
AU - Rantanen, Jukka
AU - Nissen, Birgitte
AU - Friderichsen, Anders V.
N1 - Publisher Copyright: © 2022 Elsevier B.V.
PY - 2022
Y1 - 2022
N2 - Commonly used methods for analyzing tablet disintegration are based on visual observations and can thus be user-dependent. To address this, a generally applicable image analytical algorithm has been developed for machine vision-based quantification of tablet disintegration. The algorithm has been tested with a conventional immediate release tablet, as well as model compacts disintegrating mainly through erosion, and finally, with a polymeric slow-release system. Despite differences in disintegration mechanisms between these compacts, the developed image analytical algorithm demonstrated its general applicability through quantifying the extent of disintegration without adaptation of image analytical parameters. The reproducibility of the approach was estimated with commercial tablets, and further, it could differentiate a range of different model compacts. The developed image analytical algorithm mimics the human decision-making processes and the current experience-based visual evaluation of disintegration time. In doing so the algorithmic method allows a user-independent approach for development of the optimal tablet formulation as well as gaining an understanding on how the selection of excipients and manufacturing processes ultimately influences tablet disintegration.
AB - Commonly used methods for analyzing tablet disintegration are based on visual observations and can thus be user-dependent. To address this, a generally applicable image analytical algorithm has been developed for machine vision-based quantification of tablet disintegration. The algorithm has been tested with a conventional immediate release tablet, as well as model compacts disintegrating mainly through erosion, and finally, with a polymeric slow-release system. Despite differences in disintegration mechanisms between these compacts, the developed image analytical algorithm demonstrated its general applicability through quantifying the extent of disintegration without adaptation of image analytical parameters. The reproducibility of the approach was estimated with commercial tablets, and further, it could differentiate a range of different model compacts. The developed image analytical algorithm mimics the human decision-making processes and the current experience-based visual evaluation of disintegration time. In doing so the algorithmic method allows a user-independent approach for development of the optimal tablet formulation as well as gaining an understanding on how the selection of excipients and manufacturing processes ultimately influences tablet disintegration.
KW - Image analysis
KW - Imaging
KW - Multivariate data analysis
KW - Tablet disintegration
KW - Tablet disintegration kinetics
U2 - 10.1016/j.ijpharm.2022.121847
DO - 10.1016/j.ijpharm.2022.121847
M3 - Journal article
C2 - 35643346
AN - SCOPUS:85131921113
VL - 623
JO - International Journal of Pharmaceutics
JF - International Journal of Pharmaceutics
SN - 0378-5173
M1 - 121847
ER -
ID: 311253352