Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 μm
| Autor: | Franziska Fischer, Dieter Fischer, Kristina Enders, Robin Lenz, Josef Brandt, Matthias Labrenz |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
chemistry.chemical_classification
Potassium hydroxide Materials science 010504 meteorology & atmospheric sciences Acrylonitrile butadiene styrene Epoxy Polymer 010501 environmental sciences 01 natural sciences Slip (ceramics) chemistry.chemical_compound chemistry Chemical engineering visual_art visual_art.visual_art_medium Particle Sodium polytungstate Degradation (geology) 0105 earth and related environmental sciences |
| Zdroj: | Microplastics and Nanoplastics. 1 |
| ISSN: | 2662-4966 |
| Popis: | The treatment of samples for microplastic (MP) analysis requires purification steps that sufficiently reduce the non-MP content while preserving the targeted particles integrity. Besides their macromolecular structure this also encompasses their in situ numbers and sizes. However, any step of sample manipulation will come at a cost: particle loss, fragmentation, coagulation or degradation may lead to distorted results, predominantly in the smaller fraction of the MP size range. Therefore, the evaluation of MP resistivity against applied methods such as chemical digestions is a vital criterion for obtaining meaningful results on MP content of a sample. We developed a framework to test the applicability of MP purification methods and apply it to four protocols commonly used to prepare environmental samples for MP particle identification. The approach was designed for MP particles being too small to be handled manually (i.e. 10–70 μm). The evaluation consists of a two-tiered assay: a simple particle suspension approach is used to confirm a post-treatment qualitative recognisability of the target polymers by the analysis method of choice (here Raman and FTIR). In a following quantitative part, immobilised particles are used to evaluate the preservation of particle numbers and areas after the treatment on an individual particle level. A Python image analysis package was written that identifies, matches and measures particles on pairs of pre- and post-treatment images, and is available as open source software. Our results show that the chemical digestions using hydrogen peroxide, cooled Fenton’s and a combined alkaline / oxidative treatment using potassium hydroxide and sodium hypochlorite are suitable methods for preparing MP samples for a microspectroscopic analyses. Also acidic sodium polytungstate solution used for MP density separations and a pentane based protocol for lipid removal were found applicable for small sized MP. Certain degradative effects were found when acrylonitrile butadiene styrene is exposed to acidic treatments, as well as for MP from acrylate and epoxy based paint resins in strong oxidative regimes. Several paint resins tested here were spectroscopically not identifiable by polymer attributed bands even before treatment, indicating that these materials might slip through analyses of environmental samples and consequently being underreported. We conclude that evaluating chemical treatment procedures on MP |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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