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Iron crosslinked alginate as novel nanosorbents for removal of arsenic ions and bacteriological contamination from water

机译:铁交联海藻酸盐作为新型纳米吸附剂,用于去除水中的砷离子和细菌污染

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Fixed-bed column studies were conducted to evaluate performance of Fe (III) crosslinked alginate nanoparticles for the removal of pentavalent arsenic ions [As (V)] from aqueous environments. The study involved observing the influences of column bed depth, influent As (V) concentration and influent flow rates on the removal of arsenic ions. The total adsorbed quantity, equilibrium uptake and total percentage removal of arsenic were determined from the breakthrough curves obtained at different flow rates, initial metal ion concentration and bed heights. The results showed that column demonstrate fairly well performance at the lowest flow rate. Also, column bed capacity and exhaustion time were found to increase with increasing bed height. When initial metal ion concentration was increased from 0.5mg/L to 1.5mg/L, the corresponding adsorption bed capacity decreases from 0.066 to 0.022mg/g. The Bed Depth Service Time (BDST) model was used to analyze the experimental data and the model parameters were evaluated. Good agreement of the experimental breakthrough curves with the model predictions was observed.
机译:进行了固定床色谱柱研究,以评估Fe(III)交联藻酸盐纳米颗粒从水性环境中去除五价砷离子[As(V)]的性能。该研究涉及观察柱床深度,进水砷(V)浓度和进水流速对去除砷离子的影响。根据在不同流速,初始金属离子浓度和床高下获得的穿透曲线,确定了砷的总吸附量,平衡吸收和总去除率。结果表明,该色谱柱在最低流速下表现出相当好的性能。而且,发现柱床容量和排气时间随着床高度的增加而增加。当初始金属离子浓度从0.5mg / L增加到1.5mg / L时,相应的吸附床容量从0.066降低到0.022mg / g。使用床深服务时间(BDST)模型来分析实验数据并评估模型参数。观察到实验突破曲线与模型预测良好吻合。

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