Key Laboratory of Marine Eco-Environmental Science and Technology, Marine Bioresource and Environment Research Center, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China.
Key Laboratory of Marine Eco-Environmental Science and Technology, Marine Bioresource and Environment Research Center, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China.
Ecotoxicol Environ Saf. 2020 Jul 1;197:110647. doi: 10.1016/j.ecoenv.2020.110647. Epub 2020 Apr 18.
Some toxigenic dinoflagellates can produce lipophilic marine algal toxins (LMATs), which are potent threats to marine breeding industries. In this study, a new method based on the profiling analysis of six LMAT classes in phytoplankton was developed for the monitoring and warning of LMATs in mariculture zones. This method was applied to monitor and evaluate LMATs in the Jiaozhou Bay and the Changjiang estuary in China. Results demonstrated that the occurrence and spatiotemporal variations of LMATs in mariculture zones can be revealed by the toxin profiles of phytoplankton, indicating the method's effectiveness for the comprehensive monitoring of the composition and levels of various LMATs in coastal aquaculture zones. The method was further used as an alarm for potential pollution risk from LMATs in mariculture zones at an early stage. The "alert" thresholds of LMAT pollution in the mariculture zones were preliminarily proposed based on the statistical data analysis of LMATs in phytoplankton in three typical mariculture areas in China. This study is the first to conduct simultaneous monitoring and warning of multi-class LMATs based on toxin profiles of phytoplankton, thereby providing new insight into the monitoring and early warning of natural poisonous pollutants in coastal aquaculture zones around the world.
一些产毒甲藻可以产生脂溶性海洋藻类毒素（LMATs），这些毒素对海洋养殖产业构成了严重威胁。本研究建立了一种基于浮游植物中六种 LMAT 类别的剖析分析的新方法，用于监测和预警养殖区中的 LMATs。该方法应用于监测和评估中国胶州湾和长江口的 LMATs。结果表明，通过浮游植物的毒素特征可以揭示养殖区 LMATs 的发生和时空变化，表明该方法可有效综合监测沿海养殖区各种 LMATs 的组成和水平。该方法还可用于早期预警养殖区 LMATs 的潜在污染风险。基于中国三个典型养殖区浮游植物中 LMATs 的统计数据分析，初步提出了养殖区 LMAT 污染的“警报”阈值。本研究首次基于浮游植物的毒素特征对多类 LMATs 进行同步监测和预警，为世界范围内沿海养殖区天然有毒污染物的监测和预警提供了新的思路。
