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Analysis of polyethylene microplastics in environmental samples, using a thermal decomposition method
Erik Dümichen1, Anne-Kathrin Barthel1, Ulrike Braun1
1BAM Federal Institute for Material Research and Testing, Unter den Eichen 87, 12205 Berlin, Germany.
Water Research
|September 17, 2015
Summary
A new method uses thermogravimetric analysis (TGA) coupled with thermal desorption gas chromatography-mass spectrometry (TDS-GC-MS) to identify and quantify microplastics. This technique allows for the analysis of complex environmental samples, providing crucial concentration data.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Polymer Science
Background:
- Microplastics, polymer particles <5mm, contaminate the environment from debris and industry.
- Accurate identification and quantification of microplastics are essential for environmental risk assessment.
- Existing methods may struggle with complex, non-homogenous environmental matrices.
Purpose of the Study:
- To develop and validate a method for identifying and quantifying microplastics in environmental samples.
- To generate reliable microplastic concentration data for environmental assessments.
- To demonstrate the method's capability using polyethylene (PE) as a model microplastic.
Main Methods:
- Thermal extraction using thermogravimetric analysis (TGA) coupled to a solid-phase adsorber.
- Analysis of adsorbers via thermal desorption gas chromatography-mass spectrometry (TDS-GC-MS).
- Utilized larger sample masses in TGA compared to Py-GC-MS for complex matrix analysis.
Main Results:
- The TGA-TDS-GC-MS method successfully identified and quantified microplastics.
- The technique is suitable for analyzing complex and non-homogenous environmental matrices.
- Polyethylene (PE) was effectively identified and quantified as a representative microplastic.
Conclusions:
- The developed TGA-TDS-GC-MS method provides a robust approach for microplastic analysis.
- This method enables accurate quantification of microplastics in diverse environmental samples.
- The technique facilitates reliable environmental risk assessment by providing essential concentration data.
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