Seasonal variation and ecological risk assessment of microplastics ingested by economic fishes in Lake Chaohu, China
文献类型: 外文期刊
第一作者: Wu, Jiajun
作者: Wu, Jiajun;Yin, Xiaowei;Liu, Yunzhao;Chen, Xin;Xie, Chang;Jiang, Zhongguan;Jiang, Zhongguan;Liang, Yangyang;Li, Jing;Jiang, Zhongguan
作者机构:
关键词: MPs; Wet and dry seasons; Fish; Polymer risk index; Bioindicators
期刊名称:SCIENCE OF THE TOTAL ENVIRONMENT ( 影响因子:10.753; 五年影响因子:10.237 )
ISSN: 0048-9697
年卷期: 2022 年 833 卷
页码:
收录情况: SCI
摘要: seasonal field studies of MPs concentrations in aquatic life are scarce. In this study, we analyzed the seasonal variation and ecological risk of MPs concentrations in economic fish species from Lake Chaohu in China between wet and dry seasons. Within both seasons, MPs in fish were systematically analyzed using methods of KOH digestion, NaCl density floatation and raman spectroscopy. MPs abundance in economic fishes were significantly higher in dry season than that in wet season, which can be ascribed to the MPs' amplification effects in lacustrine ecosystems during dry season. Whereas, our results recorded similar and homogenized characteristic composition of MPs in economic fishes between wet and dry seasons. In both seasons, fiber was the main morphological type, black and blue were the most common MPs color, and MPs ranging from <0.5 mm accounting for the most abundant size. In addition, polypropylene (PP) and polyethylene terephthalate (PET) accounted for the most abundant polymer type detected by economic fishes in both seasons. In terms of feeding groups and habitat preferences, planktivorous and pelagic fish species exhibited sensitive variations of MPs concentrations between wet and dry seasons, thus being highlighted as good bioindicators of MPs contaminants in freshwater ecosystems. Our results revealed higher ecological risks of MPs in wet season than that in dry season when indicating from polymer risk index (H). By providing detailed and direct toxicity information, our study highlights the usage of polymer risk index for ecological risk assessment in aquatic organisms.
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