In vitro dissolution testing is an important tool used for pharmaceutical development and approval of generic medicinal product, playing a pivotal role in regulatory decision-making. This study includes evaluation and comparative analysis of in vitro dissolution profiles of Bisoprolol film-coated tablets and in vitro dissolution profile of a reference medicinal product, using several model-independent and model-dependent statistical methods. The evaluated medicinal product belongs to BCS Class I (high solubility, high permeability). The similarity testing of dissolution profile is performed on the highest strength of the dosage form, in accordance with the regulatory requirements for bioequivalence study. Obtained results have shown that in vitro comparative dissolution analysis using pair-wise independent-model procedures, such as difference (f1) and similarity (f2) factors are not suitable, because one of the requirements (not more than one mean value dissolves more than 85%, for any of the formulations) was not fulfilled. Therefore, the comparison of the similarity of dissolution profiles was performed using Ratio test methodology and multivariate model-independent approach based on generalized statistical distance (Mahalanobis distance). Furthermore, other model-dependent approaches coupled to multivariate statistics (Weibull) were applied. The obtained results from the performed analysis indicated a significant similarity of the compared in vitro dissolution profiles between the tested batches from bisoprolol film-coated tablets and reference medicinal product). Implemented statistical methods can be considered as a regulatory accepted concept for evaluation of in vitro similarity of generic medicines.
Published in | International Journal of Pharmacy and Chemistry (Volume 6, Issue 2) |
DOI | 10.11648/j.ijpc.20200602.12 |
Page(s) | 16-25 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Generic Medicinal Product, In vitro Dissolution Similarity, Model-dependent Methods, Model-independent Methods, Bisoprolol Film-coated Tablets
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APA Style
Ivana Mitrevska, Ljupco Pejov, Marija Jovanovska, Suzan Memed-Sejfulah, Katerina Brezovska, et al. (2020). Conventional and Multivariate Statistical Methods for Evaluation of In vitro Dissolution Similarity of Bisoprolol Film-coated Tablets. International Journal of Pharmacy and Chemistry, 6(2), 16-25. https://doi.org/10.11648/j.ijpc.20200602.12
ACS Style
Ivana Mitrevska; Ljupco Pejov; Marija Jovanovska; Suzan Memed-Sejfulah; Katerina Brezovska, et al. Conventional and Multivariate Statistical Methods for Evaluation of In vitro Dissolution Similarity of Bisoprolol Film-coated Tablets. Int. J. Pharm. Chem. 2020, 6(2), 16-25. doi: 10.11648/j.ijpc.20200602.12
AMA Style
Ivana Mitrevska, Ljupco Pejov, Marija Jovanovska, Suzan Memed-Sejfulah, Katerina Brezovska, et al. Conventional and Multivariate Statistical Methods for Evaluation of In vitro Dissolution Similarity of Bisoprolol Film-coated Tablets. Int J Pharm Chem. 2020;6(2):16-25. doi: 10.11648/j.ijpc.20200602.12
@article{10.11648/j.ijpc.20200602.12, author = {Ivana Mitrevska and Ljupco Pejov and Marija Jovanovska and Suzan Memed-Sejfulah and Katerina Brezovska and Aneta Dimitrovska and Sonja Ugarkovic}, title = {Conventional and Multivariate Statistical Methods for Evaluation of In vitro Dissolution Similarity of Bisoprolol Film-coated Tablets}, journal = {International Journal of Pharmacy and Chemistry}, volume = {6}, number = {2}, pages = {16-25}, doi = {10.11648/j.ijpc.20200602.12}, url = {https://doi.org/10.11648/j.ijpc.20200602.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijpc.20200602.12}, abstract = {In vitro dissolution testing is an important tool used for pharmaceutical development and approval of generic medicinal product, playing a pivotal role in regulatory decision-making. This study includes evaluation and comparative analysis of in vitro dissolution profiles of Bisoprolol film-coated tablets and in vitro dissolution profile of a reference medicinal product, using several model-independent and model-dependent statistical methods. The evaluated medicinal product belongs to BCS Class I (high solubility, high permeability). The similarity testing of dissolution profile is performed on the highest strength of the dosage form, in accordance with the regulatory requirements for bioequivalence study. Obtained results have shown that in vitro comparative dissolution analysis using pair-wise independent-model procedures, such as difference (f1) and similarity (f2) factors are not suitable, because one of the requirements (not more than one mean value dissolves more than 85%, for any of the formulations) was not fulfilled. Therefore, the comparison of the similarity of dissolution profiles was performed using Ratio test methodology and multivariate model-independent approach based on generalized statistical distance (Mahalanobis distance). Furthermore, other model-dependent approaches coupled to multivariate statistics (Weibull) were applied. The obtained results from the performed analysis indicated a significant similarity of the compared in vitro dissolution profiles between the tested batches from bisoprolol film-coated tablets and reference medicinal product). Implemented statistical methods can be considered as a regulatory accepted concept for evaluation of in vitro similarity of generic medicines.}, year = {2020} }
TY - JOUR T1 - Conventional and Multivariate Statistical Methods for Evaluation of In vitro Dissolution Similarity of Bisoprolol Film-coated Tablets AU - Ivana Mitrevska AU - Ljupco Pejov AU - Marija Jovanovska AU - Suzan Memed-Sejfulah AU - Katerina Brezovska AU - Aneta Dimitrovska AU - Sonja Ugarkovic Y1 - 2020/07/04 PY - 2020 N1 - https://doi.org/10.11648/j.ijpc.20200602.12 DO - 10.11648/j.ijpc.20200602.12 T2 - International Journal of Pharmacy and Chemistry JF - International Journal of Pharmacy and Chemistry JO - International Journal of Pharmacy and Chemistry SP - 16 EP - 25 PB - Science Publishing Group SN - 2575-5749 UR - https://doi.org/10.11648/j.ijpc.20200602.12 AB - In vitro dissolution testing is an important tool used for pharmaceutical development and approval of generic medicinal product, playing a pivotal role in regulatory decision-making. This study includes evaluation and comparative analysis of in vitro dissolution profiles of Bisoprolol film-coated tablets and in vitro dissolution profile of a reference medicinal product, using several model-independent and model-dependent statistical methods. The evaluated medicinal product belongs to BCS Class I (high solubility, high permeability). The similarity testing of dissolution profile is performed on the highest strength of the dosage form, in accordance with the regulatory requirements for bioequivalence study. Obtained results have shown that in vitro comparative dissolution analysis using pair-wise independent-model procedures, such as difference (f1) and similarity (f2) factors are not suitable, because one of the requirements (not more than one mean value dissolves more than 85%, for any of the formulations) was not fulfilled. Therefore, the comparison of the similarity of dissolution profiles was performed using Ratio test methodology and multivariate model-independent approach based on generalized statistical distance (Mahalanobis distance). Furthermore, other model-dependent approaches coupled to multivariate statistics (Weibull) were applied. The obtained results from the performed analysis indicated a significant similarity of the compared in vitro dissolution profiles between the tested batches from bisoprolol film-coated tablets and reference medicinal product). Implemented statistical methods can be considered as a regulatory accepted concept for evaluation of in vitro similarity of generic medicines. VL - 6 IS - 2 ER -