Noonan, Michael J.; Grechi, Nicole; Mills, C. Lauren; de A. M. M. Ferraz, Marcia (2023): Microplastics analytics: why we should not underestimate the importance of blank controls. Microplastics and Nanoplastics, 3 (1). ISSN 2662-4966
s43591-023-00065-3.pdf
Die Publikation ist unter der Lizenz Creative Commons Namensnennung (CC BY) verfügbar.
Herunterladen (1MB)
Abstract
Recent years have seen considerable scientific attention devoted towards documenting the presence of microplastics (MPs) in environmental samples. Due to omnipresence of environmental microplastics, however, disentangling environmental MPs from sample contamination is a challenge. Hence, the environmental (collection site and laboratory) microplastics contamination of samples during processing is a reality that we must address, in order to generate reproducible and reliable data. Here we investigated published literature and have found that around 1/5 of studies failed to use blank controls in their experiments. Additionally, only 34% of the studies used a controlled air environment for their sample processing (laminar flow, fume hood, closed laboratory, clean room, etc.). In that regard, we have also shown that preparing samples in the fume hood, leads to more microplastics > 1 μm) contamination than preparing it in the laboratory bench and the laminar flow. Although it did not completely prevent microplastics contamination, the processing of sample inside the laminar flow is the best option to reduce sample contamination during processing. Overall, we showed that blank controls are a must in microplastics sample preparation, but it is often overlooked by researchers.
Dokumententyp: | Artikel (LMU) |
---|---|
Organisationseinheit (Fakultäten): | 08 Tiermedizin > Zentrum für Klinische Tiermedizin > Klinik für Wiederkäuer mit Ambulanz und Bestandsbetreuung |
DFG-Fachsystematik der Wissenschaftsbereiche: | Lebenswissenschaften |
Veröffentlichungsdatum: | 28. Nov 2023 08:40 |
Letzte Änderung: | 07. Dez 2023 12:19 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/1023 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892 |