Dissolution Testing as a Prognostic Tool for Oral Drug Absorption: Immediate Release Dosage Forms
Abstract
Dissolution tests are used for many purposes in the pharmaceutical industry: in the development of new products, for quality control and, to assist with the determination of bioequivalence. Recent regulatory developments such as the Biopharmaceutics Classification Scheme have highlighted the importance of dissolution in the regulation of post-approval changes and introduced the possibility of substituting dissolution tests for clinical studies in some cases. Therefore, there is a need to develop dissolution tests that better predict the in vivo performance of drug products. This could be achieved if the conditions in the gastrointestinal tract were successfully reconstructed in vitro. The aims of this article are, first, to clarify under which circumstances dissolution testing can be prognostic for in vivo performance, and second, to present physiological data relevant to the design of dissolution tests, particularly with respect to the composition, volume, flow rates and mixing patterns of the fluids in the gastrointestinal tract. Finally, brief comments are made in regard to the composition of in vitro dissolution media as well as the hydrodynamics and duration of the test.
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Dissolution testing of drug products plays an important role as a quality control tool to monitor batch-to-batch consistency of drug release from a dosage form and as an in vitro surrogate for in vivo performance.
“Dissolution testing of drug products plays an important role as a quality control tool to monitor batch-to-batch consistency of drug release from a dosage form and as an in vitro surrogate for in vivo performance ( 6 ).”
From Comparative Assessment of the Quality Control Measurements of Multisource Ofloxacin Tablets Marketed in Nigeria (2010) · cites this paper as [6]
Cites
Estimation of the increase in solubility of drugs as a function of bile salt concentration
Mithani, S. D., Bakatselou, V., TenHoor, C. N., & Dressman, J. B. (1996) · Pharmaceutical Research · doi:10.1023/a:1016062224568 · Cited by 303 · see citing works
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The gastrointestinal microbiota as a site for the biotransformation of drugs
Sousa, T., Paterson, R., Moore, V., Carlsson, A., Abrahamsson, B., & Basit, A. W. (2008) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2008.07.009 · Cited by 618 · see citing works
Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model
Kuepfer, L., Niederalt, C., Wendl, T., Schlender, J., Willmann, S., Lippert, J., Block, M., Eissing, T., & Teutonico, D. (2016) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12134 · Cited by 425 · see citing works
Parrott, N., Paquereau, N., Coassolo, P., & Lavé, T. (2005) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20419 · Cited by 107 · see citing works
Becherer, J. D., Boros, E. E., Carpenter, T. Y., Cowan, D. J., Deaton, D. N., Haffner, C. D., Jeune, M. R., Kaldor, I. W., Poole, J. C., Preugschat, F., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00992 · Cited by 55 · see citing works
Awofisayo, S. O., Awofisayo, O. A., Eyen, N., & Udoh, I. E. (2010) · Dissolution Technologies · doi:10.14227/dt170210p20 · Cited by 20 · see citing works
Parameterization of small intestinal water volume using PBPK modeling
Maharaj, A., Fotaki, N., & Edginton, A. (2015) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2014.10.016 · Cited by 10 · see citing works
- Authors
- Dressman, J. B., Amidon, G. L., Reppas, C., & Shah, V. P.
- Affiliations
- Goethe University Frankfurt (DE)
- University of Michigan (US)
- National and Kapodistrian University of Athens (GR)
- United States Food and Drug Administration (US)
- Venue
- Pharmaceutical Research
- Published
- 1998-01
- Volume
- 15
- Issue
- 1
- Pages
- 11-22
- ISSN
- 0724-8741 (ISSN-L)
- 1573-904X
- OpenAlex
- W1522767714
- Cited by
- 1,097
- References
- 1
- Citations by year
- 2026: 29 · 2025: 24 · 2024: 28 · 2023: 38 · 2022: 38 · 2021: 37 · 2020: 45 · 2019: 39 · 2018: 46 · 2017: 41 · 2016: 54 · 2015: 60 · 2014: 66 · 2013: 64 · 2012: 57
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Pharmaceutical Research (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Drug Solubulity and Delivery Systems
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Keywords
- dissolution testing, oral drug absorption, immediate-release formulation, in vitro-in vivo correlation, gastrointestinal tract physiology, hydrodynamics, Biopharmaceutics Classification System, bioequivalence, post-approval changes, in vitro gastrointestinal simulation
- MeSH terms
- Administration, Oral, Digestive System, Digestive System Physiological Phenomena, Pharmaceutical Preparations, Humans, Intestinal Absorption, Intestine, Small, Models, Biological, Pharmacokinetics, Prognosis
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