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Plastibodies for multiplexed detection and sorting of microplastic particles in high-throughput

The Science of The Total Environment 2022 24 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Wiwik Bauten, Maximilian Nöth, Tetiana Kurkina, Francisca Contreras, Yu Ji, Cloé Desmet, Miquel Àngel Serra, Douglas Gilliland, Ulrich Schwaneberg

Summary

Researchers developed a high-throughput flow cytometry method using material-binding peptide antibodies (plastibodies) for multiplexed detection and sorting of microplastic particles, enabling sensitive and rapid quantification in aqueous samples.

Polymers

Sensitive high-throughput analytic methodologies are needed to quantify microplastic particles (MPs) and thereby enable routine monitoring of MPs to ultimately secure animal, human, and environmental health. Here we report a multiplexed analytical and flow cytometry-based high-throughput methodology to quantify MPs in aqueous suspensions. The developed analytic MPs-quantification platform provides a sensitive as well as high-throughput detection of MPs that relies on the material binding peptide Liquid Chromatography Peak I (LCI) conjugated to Alexa-fluorophores (LCI-AF488, LCI-AF594, and LCI-AF647). These fluorescent material-binding peptides (also termed plastibodies) were used to fluorescently label polystyrene MPs, whereas Alexa-fluorophores alone exhibited a negligible background fluorescence. Mixtures of polystyrene MPs that varied in size (500 nm to 5 μm) and varied in labeled populations were analyzed and sorted into distinct populations reaching sorting efficiencies >90 % for 1 × 10 sorted events. Finally, a multiplexed quantification and sorting with up to three plastibodies was successfully achieved to validate that the combination of plastibodies and flow cytometry is a powerful and generally applicable methodology for multiplexed analysis, quantification, and sorting of microplastic particles.

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