Project Details
Description
Oral administration of drugs can entail certain disadvantages, such as a pronounced first-pass effect or adverse side effects. To avoid these problems, transdermal administration may be a good alternative. Therefore, there is an increased attentiveness in the industry for skin permeability tests, but also for dermal exposure tests and risk assessment processes. Different chromatographic systems have already been used to generate models to predict the skin permeability, such as immobilized artificial membrane (IAM) chromatography and micellar liquid chromatography (MLC).
The aim of this project is to search for a faster and equally predictive chromatographic method as a potential alternative for the methods that are currently used to predict skin permeability of aspirant pharmaceutical or cosmetic compounds. Firstly, SFC will be considered as an alternative for the HPLC-based methods. Beside classical stationary phases, columns with given components of the skin, such as keratin, immobilized onto a chromatographic carrier will be examined as alternative stationary phases, occasionally also coupled to other phases. Furthermore, faster alternatives for the existing LC methods, such as MLC on fused-core columns will be considered. With the retention data, a quantitative retention-activity relationship (QRAR model) will also be developed to predict the skin permeability.
The aim of this project is to search for a faster and equally predictive chromatographic method as a potential alternative for the methods that are currently used to predict skin permeability of aspirant pharmaceutical or cosmetic compounds. Firstly, SFC will be considered as an alternative for the HPLC-based methods. Beside classical stationary phases, columns with given components of the skin, such as keratin, immobilized onto a chromatographic carrier will be examined as alternative stationary phases, occasionally also coupled to other phases. Furthermore, faster alternatives for the existing LC methods, such as MLC on fused-core columns will be considered. With the retention data, a quantitative retention-activity relationship (QRAR model) will also be developed to predict the skin permeability.
| Acronym | FWOTM851 |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/17 → 30/09/21 |
Keywords
- chromatographic
- pharmaceutical
- compounds
Flemish discipline codes in use since 2023
- Biopharmaceuticals
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Research output
- 2 Article
-
Skin Permeability Modeling of Pharmaceutical and Cosmetic Compounds Using Retention Measurements in Liquid or Supercritical Fluid Chromatography
Mangelings, D., Grooten, Y. & Vander Heyden, Y., 24 Jun 2025, In: LCGC international. p. 28-34 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparison of supercritical fluid chromatographic methods to predict the skin permeability of pharmaceutical and cosmetic compounds
Grooten, Y., Mangelings, D. & Vander Heyden, Y., 15 Mar 2023, In: Journal of Chromatography. A. 1692, p. 1-11 11 p., 463855.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)30 Downloads (Pure)