Abstract
Dissolution has become an indispensable tool to predict the in vivo performance of dosage form, especially in recent times, because of the increasing complexity of new drugs discovered. Several attempts have been made to modify dissolution, so that it mimics the in vivo behavior to maximum possible accuracy and minimizes the probability of in vivo bioequivalence failures. In this context, several advancements have been reported including drug dissolution/absorption simulating system, bionic system, dissolution/permeation model, biphasic dissolution system, Caco-2 cell monolayer in combination with compendial dissolution apparatus, artificial stomach duodenum model, dynamic gastric model, Netherlands Organization for Applied Scientific Research gastrointestinal model, and many more. The present review highlights the recent advancements in dissolution methods with a focus on in vivo predictive dissolution methods, their advantages and disadvantages, and key factors governing the results obtained. The impact of maintaining sink conditions and use of biorelevant media is also discussed briefly.
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Abbreviations
- API:
-
Active pharmaceutical ingredient
- ASD:
-
Artificial stomach–duodenum
- AUC:
-
Area under the curve
- BA/BE:
-
Bioavailability/bioequivalence
- BCS:
-
Biopharmaceutical classification system
- Caco:
-
Colorectal adenocarcinoma
- DDC:
-
Drug dissolution chip
- DGM:
-
Dynamic gastric model
- D/P:
-
Dissolution/permeation
- FDA:
-
Food and Drug Administration
- GIS:
-
Gastrointestinal tract simulator
- GIT:
-
Gastrointestinal tract
- iPD:
-
In vivo predictive dissolution
- IVIVC:
-
In vitro–in vivo correlation
- M-D/P:
-
Microdialysis–dissolution/permeation
- QbD:
-
Quality by design
- QCM:
-
Quartz crystal microbalance
- R&D:
-
Research and development
- SSDDs:
-
Supersaturated drug delivery systems
- TIM:
-
TNO intestinal model
- TIMagc:
-
TIM advanced gastric compartment
- USP:
-
United States Pharmacopeia
- UV:
-
Ultraviolet
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Acknowledgments
The authors want to thank the Ministry of Chemicals and Fertilizers for providing the funding and the Department of Science and Technology for providing the funding to authors in the form of INSPIRE faculty award (Grant number LSBM-13; SERB EMR/2016/007966).
Funding
This work was supported by the National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad.
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Shrivas, M., Khunt, D., Shrivas, M. et al. Advances in In Vivo Predictive Dissolution Testing of Solid Oral Formulations: How Closer to In Vivo Performance?. J Pharm Innov 15, 296–317 (2020). https://doi.org/10.1007/s12247-019-09392-6
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DOI: https://doi.org/10.1007/s12247-019-09392-6