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Data on sorption of organic compounds by aged polystyrene microplastic particles
Thorsten Hüffer1, Anne-Katrin Weniger1, Thilo Hofmann1
1University of Vienna, Department of Environmental Geosciences and Environmental Science Research Network, Althanstrasse 14, 1090 Vienna, Austria.
Data in Brief
|June 15, 2018
Summary
This study quantifies how aged polystyrene microplastics sorb organic compounds. These findings are crucial for understanding microplastic pollution and its environmental fate.
Area of Science:
- Environmental Chemistry
- Polymer Science
- Environmental Science
Background:
- Microplastics are prevalent environmental pollutants.
- Understanding the sorption behavior of organic compounds by microplastics is vital for assessing their environmental risks.
- Polystyrene microplastics are common, but their aged properties influencing sorption are less understood.
Purpose of the Study:
- To experimentally determine the sorption isotherms of 21 probe sorbates by UV-aged polystyrene microplastics.
- To model the experimental sorption data using linear free-energy relationships.
- To provide data for interpreting the environmental behavior of aged microplastics.
Main Methods:
- Polystyrene microplastics were artificially aged using UV-induced photo-oxidation with hydrogen peroxide.
- Sorption experiments were conducted using 21 different organic probe sorbates.
- Sorption data were analyzed and modeled using single- and poly-parameter linear free-energy relationships.
Main Results:
- Experimental sorption isotherms for aged polystyrene microplastics and 21 probe sorbates were generated.
- The study provides a dataset for the sorption behavior of aged microplastics.
- Linear free-energy relationships were applied to model the sorption data.
Conclusions:
- The study presents quantitative data on the sorption of organic compounds by aged polystyrene microplastics.
- The findings contribute to the understanding of microplastic-organic compound interactions in the environment.
- Refer to Hüffer et al. (2018) for a comprehensive discussion and interpretation of the data.
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