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Comparative in vitro percutaneous absorption of p-substituted phenols through rat skin using static and flow-through
M F Hughes1, S P Shrivastava, H L Fisher
1ManTech Environmental Technology, Inc., Research Triangle Park, NC 27709, USA.
This study compared in vitro percutaneous absorption of phenols using static and flow-through systems, finding both methods generally equivalent. Absorption varied based on chemical properties, with less absorbed phenols showing more variable data.
Area of Science:
- Pharmacology
- Toxicology
- Dermatology
Background:
- Percutaneous absorption is crucial for understanding chemical exposure and drug delivery.
- In vitro models using animal skin are common for assessing chemical penetration.
- Comparing different diffusion systems is essential for reliable in vitro absorption data.
Purpose of the Study:
- To compare the in vitro percutaneous absorption of phenol and eight p-substituted phenolic derivatives.
- To evaluate the performance of static and flow-through diffusion systems for absorption studies.
- To examine the variability of cumulative percentage absorption data.
Main Methods:
- Utilized clipped dorsal skin from female Fischer 344 rats, sectioned to approximately 350 µm thickness.
- Applied phenol compounds at 4 µg/cm² in ethanol to the skin in diffusion cells.
- Measured 72-hour cumulative absorption in receptor fluid using both static and flow-through diffusion systems.
Main Results:
- 72-hour cumulative absorption ranged from 15.4% to 97.6% across phenols and systems.
- High absorption (>70%) was observed for phenols with a log octanol:water partition coefficient (log P) between 1.4 and 3.5.
- Significant absorption differences between systems were noted for five phenols, with lower absorption in the static system for acetamidophenol, chlorophenol, and cyanophenol, and in the flow-through system for phenol and heptyloxyphenol.
Conclusions:
- Both static and flow-through diffusion systems are viable for in vitro percutaneous absorption studies.
- Chemical properties, particularly log P, significantly influence absorption rates and variability.
- Data variability is higher for poorly absorbed chemicals, necessitating careful interpretation of results from different systems.
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