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Smart filters for the analysis of microplastic in beverages filled in plastic bottles

Food Additives & Contaminants Part A 2021 23 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Braun, Ulrike, Korinna Altmann, Dominik Herper, Markus Knefel, Marius Bednarz, Claus Gerhard Bannick

Summary

Scientists developed 'smart filters' that automatically capture microplastic particles from beverages in plastic bottles and provide a direct readout of particle counts, enabling rapid food safety testing. Current methods require extensive laboratory processing, so this tool could make routine microplastic monitoring in food and beverages much more practical.

The occurrence of microplastic (MP) in food products, such as beverages in plastic bottles, is of high public concern. Existing analytical methods focus on the determination of particle numbers, requiring elaborate sampling tools, laboratory infrastructure and generally time-consuming imaging detection methods. A comprehensive routine analysis of MP in food products is still not possible. In the present work, we present the development of a smart filter crucible as sampling and detection tool. After filtration and drying of the filtered-off solids, a direct determination of the MP mass content from the crucible sample can be done by thermal extraction desorption gas chromatography mass spectroscopy (TED-GC/MS). The new filter crucible allows a filtration of MP down to particle sizes of 5 µm. We determined MP contents below 0.01 µg/L up to 2 µg/L, depending on beverages bottle type. This may be directly related to the bottle type, especially the quality of the plastic material of the screw cap. Dependent on the plastic material, particle formation increases due to opening and closing operations during the use phase. However, we have also found that some individual determinations of samples were subjected to high errors due to random events. A conclusive quantitative evaluation of the products is therefore not possible at present.

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