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Published on: August 20, 2014
LogP determination as part of biocompatibility screening
Marko Turkalj1, Siemon De Nys1, Jeroen Vanoirbeek2
1KU Leuven, Department of Oral Health Sciences, BIOMAT & UZ Leuven, Dentistry, Leuven, Belgium.
Experimentally determined octanol-water partition coefficient (logP) values for composite monomers are crucial for assessing bioaccumulation risk. In vitro measurements are more reliable than current in-silico models, which tend to overpredict logP.
Area of Science:
- Toxicology
- Environmental Science
- Materials Science
Background:
- The octanol-water partition coefficient (logP) is vital for predicting bioaccumulation and environmental risk.
- Accurate logP determination is essential for assessing the biocompatibility of composite monomers.
Purpose of the Study:
- To experimentally determine the logP of composite monomers using the shake-flask method.
- To compare experimental logP values with those predicted by in-silico models.
- To evaluate the reliability of in-silico models for logP prediction.
Main Methods:
- Composite monomers (BisEMA3, BisEMA6, BisEMA10, BisGMA, HEMA, TEGDMA, UDMA) were subjected to the shake-flask method for logP determination.
- Equilibration was performed over 24, 48, and 72 hours, followed by UHPLC-MS/MS analysis.
- In-silico logP predictions were generated using KOWWIN, ACD/LogP, and XLogP3 models.
Main Results:
- No significant difference in logP was observed between time points (p > 0.05), indicating equilibrium after 24 hours.
- Experimental logP values at 72 hours ranged from 4.05 ± 0.09 (BisEMA10) to 0.09 ± 0.03 (HEMA).
- In-silico models consistently overpredicted logP values, particularly for more hydrophobic monomers.
Conclusions:
- In vitro logP determination is recommended due to the unreliability of current in-silico models.
- Experimentally determined logP values were lower than in-silico predictions, suggesting lower bioaccumulation potential.
- Further development of in-silico models requires large datasets of experimentally validated logP values.
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