Literatur vom gleichen Autor/der gleichen Autor*in
plus bei Google Scholar

Bibliografische Daten exportieren
 

The complexity of micro- and nanoplastic research in the genus Daphnia : A systematic review of study variability and a meta-analysis of immobilization rates

Titelangaben

Brehm, Julian ; Ritschar, Sven ; Laforsch, Christian ; Mair, Magdalena:
The complexity of micro- and nanoplastic research in the genus Daphnia : A systematic review of study variability and a meta-analysis of immobilization rates.
In: Journal of Hazardous Materials. Bd. 458 (2023) . - 131839.
ISSN 0304-3894
DOI: https://doi.org/10.1016/j.jhazmat.2023.131839

Volltext

Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
SFB 1357 Mikroplastik
391977956

Projektfinanzierung: Deutsche Forschungsgemeinschaft

Zugehörige Forschungsdaten

https://doi.org/10.5281/zenodo.7928191

Abstract

In recent years, the number of publications on nano- and microplastic particles (NMPs) effects on freshwater organisms has increased rapidly. Freshwater crustaceans of the genus Daphnia are widely used in ecotoxicological research as model organisms for assessing the impact of NMPs. However, the diversity of experimental designs in these studies makes conclusions about the general impact of NMPs on Daphnia challenging. To approach this, we systematically reviewed the literature on NMP effects on Daphnia and summarized the diversity of test organisms, experimental conditions, NMP properties and measured endpoints to identify gaps in our knowledge of NMP effects on Daphnia. We use a meta-analysis on mortality and immobilization rates extracted from the compiled literature to illustrate how NMP properties, study parameters and the biology of Daphnia can impact outcomes in toxicity bioassays. In addition, we investigate the extent to which the available data can be used to predict the toxicity of untested NMPs based on the extracted parameters. Based on our results, we argue that focusing on a more diverse set of NMP properties combined with a more detailed characterization of the particles in future studies will help to fill current research gaps, improve predictive models and allow the identification of NMP properties linked to toxicity.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Physico-chemical properties; Machine learning; Observed effects; Ecotoxicology
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Biologie
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER
Forschungseinrichtungen > Sonderforschungsbereiche, Forschergruppen > SFB 1357 - MIKROPLASTIK
Fakultäten
Forschungseinrichtungen
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen
Forschungseinrichtungen > Sonderforschungsbereiche, Forschergruppen
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
Eingestellt am: 22 Jun 2023 06:20
Letzte Änderung: 22 Nov 2023 14:22
URI: https://eref.uni-bayreuth.de/id/eprint/81378