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

Authors :
Bauten W
Nöth M
Kurkina T
Contreras F
Ji Y
Desmet C
Serra MÁ
Gilliland D
Schwaneberg U
Source :
The Science of the total environment [Sci Total Environ] 2023 Feb 20; Vol. 860, pp. 160450. Date of Electronic Publication: 2022 Nov 23.
Publication Year :
2023

Abstract

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 <subscript>F16C</subscript> -AF488, LCI <subscript>F16C</subscript> -AF594, and LCI <subscript>F16C</subscript> -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 <superscript>6</superscript> 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.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-1026
Volume :
860
Database :
MEDLINE
Journal :
The Science of the total environment
Publication Type :
Academic Journal
Accession number :
36435257
Full Text :
https://doi.org/10.1016/j.scitotenv.2022.160450