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Article
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AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Detection Methods
Environmental Sources
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Optical identification of car tire particles on soil using fluorescence lifetime imaging microscopy
Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)
2022
2 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Maximilian Wohlschläger,
Martin Versen,
Christian Laforsch
Summary
This study applied fluorescence lifetime imaging microscopy combined with image processing algorithms to optically identify tire wear particles on soil. The technique successfully detected and distinguished tire rubber microplastics from soil matrix, offering a non-destructive method for monitoring this significant microplastic source.
Polymers
Tire wear is one of the major contributors of environmental pollution by microplastic. FD-FLIM in combination with an image processing algorithm are successfully applied to detect tyre wear on soil.