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

被引:9
|
作者
Brehm, Julian [1 ]
Ritschar, Sven [1 ]
Laforsch, Christian [1 ,2 ]
Mair, Magdalena M. [2 ,3 ]
机构
[1] Univ Bayreuth, Anim Ecol 1, Bayreuth, Germany
[2] Bayreuth Ctr Ecol & Environm Res BayCEER, Bayreuth, Germany
[3] Univ Bayreuth, Stat Ecotoxicol, Bayreuth, Germany
关键词
Physico-chemical properties; In silico; Machine learning; Observed effects; Ecotoxicology; ACUTE TOXICITY; LIFE-HISTORY; BODY-SIZE; POLYSTYRENE NANOPLASTICS; MICROPLASTIC PARTICLES; SILVER NANOPARTICLES; AQUATIC ORGANISMS; BEACH SEDIMENTS; MESH-SIZES; MAGNA;
D O I
10.1016/j.jhazmat.2023.131839
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:18
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