The role of water and bottom sediment pollution of a river subjected to a strong industrial anthropo-pressure in coastal plants was investigated. The work presented the influence of polluted environment on accumulation of metal(loid)s (including arsenic and its species) in Stuckenia pectinata L., Galium aparine L., and Urtica dioica L. The study provided important information on the contents of organic and inorganic arsenic species in selected plants and their response to heavy metal and arsenic contamination. The As(III), As(V), AB (arsenobetaine), MMA (monomethylarsonic acid), and DMA (dimethylarsinic acid) ions were successfully separated on the Hamilton PRP-X100 column with high-performance liquid chromatography-inductively coupled plasma-mass spectrometry (HPLC-ICP-MS) techniques. The Pollution Load Index and geo-accumulation Index (I_geo) values clearly indicate significant pollution of the examined ecosystem with heavy metals. The chemometric analysis with the concepts of (Dis)similarity Analysis, Cluster Analysis, and Principal Component Analysis helped to visualize the variability of the As species concentrations and to analyse correlations between sampling point locations and analyte contents.

研究了沿海植物中承受强工业人为压力的河流水和底部沉积物污染的作用。这项工作提出了污染环境对Stuckenia pectinata L.，Galium aparine L.和Urtica dioica L.的金属（包括砷及其物种）的积累的影响。该研究提供了有关选定植物中有机和无机砷种类的含量及其对重金属和砷污染的响应的重要信息。使用高效液相色谱-电感耦合等离子体-质谱仪在Hamilton Hamilton PRP-X100色谱柱上成功分离出As（III），As（V），AB（砷甜菜碱），MMA（一甲基砷酸）和DMA（二甲基砷酸）离子。质谱（HPLC-ICP-MS）技术。污染负荷指数和地理聚集索引（我_地理）值清楚地表明所检查的生态系统受到重金属的严重污染。化学计量学分析具有（不相似）相似性分析，聚类分析和主成分分析的概念，有助于可视化As物种浓度的变化并分析采样点位置与分析物含量之间的相关性。