Kim Mungi, Hong Seongjin, Cha Jihyun, Kim Youngnam, Lee Chang-Eon, An Yoonyoung, Shin Kyung-Hoon
Department of Marine Environmental Science, Chungnam National University, Daejeon 34134, Republic of Korea.
Department of Marine Environmental Science, Chungnam National University, Daejeon 34134, Republic of Korea.
Environ Pollut. 2021 Dec 15;291:118222. doi: 10.1016/j.envpol.2021.118222. Epub 2021 Sep 22.
Here, we investigated the characteristics of the environmental multimedia distribution of microcystins (MCs) introduced from freshwater discharge through the estuary dam of the Geum River. In addition, the applicability of a passive sampling device (polar organic chemical integrative sampler, POCIS) for monitoring MCs was evaluated. Surface water, suspended solids (SS), sediments, and oysters were collected from the inner and outer estuary dam. Seven MC variants were analyzed using HPLC-MS/MS. POCIS was deployed at three sites over one week, and MCs were monitored for four weeks from August to September 2019. Before POCIS was deployed in the field, compounds-specific sampling rates of MCs were determined as functions of water temperature (10, 20, and 30 °C), flow rate (0, 0.38, and 0.76 m s), and salinity (0, 15, and 30 psu) in the laboratory. The sampling rates of MCs in POCIS increased significantly with increasing water temperature and flow rate, whereas salinity did not significantly affect the sampling rates between freshwater and saltwater. The MCs in the Geum River Estuary mainly existed as particulate forms (mean: 78%), with relatively low proportions of dissolved forms (mean: 22%), indicating that MCs were mainly contained in cyanobacterial cells. There was no significant correlation among the concentrations of MCs in water, SS, sediments, and oysters. Time-weighted average concentrations of MCs from POCIS were not significantly correlated with the concentrations of MCs in water and oysters. The metabolites of MCs, including MC-LR-GSH, MC-LR-Cys, MC-RR-GSH, and MC-RR-Cys, were detected in oysters (no metabolites were detected in POCIS). Overall, POCIS can be useful for monitoring dissolved MCs in the aquatic ecosystem, particularly in calculating time-weighted average concentrations, but it seems to have limitations in evaluating the contamination status of total MCs, mainly in particulate form.
在此,我们研究了通过锦江河口大坝排放淡水引入的微囊藻毒素(MCs)在环境多介质中的分布特征。此外,还评估了一种被动采样装置(极性有机化学综合采样器,POCIS)用于监测MCs的适用性。从河口大坝内外采集了地表水、悬浮固体(SS)、沉积物和牡蛎。使用高效液相色谱-串联质谱法分析了七种MC变体。POCIS在三个地点部署了一周,并于2019年8月至9月对MCs进行了四周的监测。在将POCIS部署到现场之前,在实验室中确定了MCs的化合物特异性采样率与水温(10、20和30°C)、流速(0、0.38和0.76 m/s)以及盐度(0、15和30 psu)的函数关系。POCIS中MCs的采样率随水温升高和流速增加而显著提高,而盐度对淡水和咸水中的采样率没有显著影响。锦江河口的MCs主要以颗粒形式存在(平均:78%),溶解形式的比例相对较低(平均:22%),这表明MCs主要存在于蓝藻细胞中。水中、SS、沉积物和牡蛎中MCs的浓度之间没有显著相关性。POCIS的MCs时间加权平均浓度与水中和牡蛎中MCs的浓度没有显著相关性。在牡蛎中检测到了MCs的代谢产物,包括MC-LR-GSH、MC-LR-Cys、MC-RR-GSH和MC-RR-Cys(在POCIS中未检测到代谢产物)。总体而言,POCIS可用于监测水生生态系统中的溶解MCs,特别是在计算时间加权平均浓度方面,但在评估主要以颗粒形式存在的总MCs的污染状况方面似乎存在局限性。