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Environmental Science and Pollution Research
Article . 2024 . Peer-reviewed
License: CC BY
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Other literature type . 2024
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Regression analysis for the determination of microplastics in sediments using differential scanning calorimetry

Authors: Sven Schirrmeister; Lucas Kurzweg; Xhoen Gjashta; Martin Socher; Andreas Fery; Kathrin Harre;

Regression analysis for the determination of microplastics in sediments using differential scanning calorimetry

Abstract

AbstractThis research addresses the growing need for fast and cost-efficient methods for microplastic (MP) analysis. We present a thermo-analytical method that enables the identification and quantification of different polymer types in sediment and sand composite samples based on their phase transition behavior. Differential scanning calorimetry (DSC) was performed, and the results were evaluated by using different regression models. The melting and crystallization enthalpies or the change in heat capacity at the glass transition point were measured as regression analysis data. Ten milligrams of sea sand was spiked with 0.05 to 1.5 mg of microplastic particles (size: 100 to 200 µm) of the semi-crystalline polymers LD-PE, HD-PE, PP, PA6, and PET, and the amorphous polymers PS and PVC. The results showed that a two-factorial regression enabled the unambiguous identification and robust quantification of different polymer types. The limits of quantification were 0.13 to 0.33 mg and 0.40 to 1.84 mg per measurement for semi-crystalline and amorphous polymers, respectively. Moreover, DSC is robust with regard to natural organic matrices and allows the fast and non-destructive analysis of microplastic within the analytical limits. Hence, DSC could expand the range of analytical methods for microplastics and compete with perturbation-prone chemical analyses such as thermal extraction–desorption gas chromatography–mass spectrometry or spectroscopic methods. Further work should focus on potential changes in phase transition behavior in more complex matrices and the application of DSC for MP analysis in environmental samples.

Keywords

Geologic Sediments, Calorimetry, Differential Scanning, Microplastics, Regression Analysis, Microplastic ; Sediment ; Polymers ; Microplastics/analysis [MeSH] ; Regression Analysis [MeSH] ; Geologic Sediments/chemistry [MeSH] ; DSC ; Research Article ; Thermal analysis ; Environmental Monitoring/methods [MeSH] ; Regression ; Calorimetry, Differential Scanning [MeSH], Research Article, Environmental Monitoring

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
hybrid