Sodium alginate extracted from the brown algae Laminaria digitata was used to prepare metal sorbing beads. Their metal binding properties were investigated with respect to copper and cadmium ions in single and binary metal solutions. Their behaviour in batch kinetic experiments and in a flow through column for the remediation of dilute aqueous metal solutions was studied. Alginate was found to be a promising material for heavy metal sequestration while sorption was found to be following a competitive mechanism in multi-metal solutions. The obtained maximum adsorption capacities for Cu~(+2) and Cd~(+2) were 1.5 mmol/g and 2.09 mmol/g respectively. The calculated diffusion coefficients — 2.8-3.0 x 10~(-5)cm~2/s for copper and 4.4-4.5 x 10~(-5) cm~2/s for cadmium ions — were independent of the initial concentration. Finally, the obtained diffusion coefficients were used for the simulation of the breakthrough curves on column filtration experiments. Linear adsorption driving force model was used to provide a rough estimation of the operational and design parameters in flow column adsorption processes.
展开▼
机译：从褐藻中提取的海藻酸钠用于制备金属吸附珠。研究了它们在单一和二元金属溶液中与铜离子和镉离子的金属结合性能。研究了它们在间歇动力学实验和流通柱中用于修复稀金属水溶液的行为。海藻酸盐被发现是一种很有前途的重金属封存材料，而吸附在多金属溶液中则遵循竞争机制。Cu~（+2）和Cd~（+2）的最大吸附量分别为1.5 mmol/g和2.09 mmol/g。计算出的扩散系数（铜为2.8-3.0 x 10~（-5）cm~2/s，镉离子为4.4-4.5 x 10~（-5）cm~2/s，与初始浓度无关。最后，将得到的扩散系数用于模拟柱过滤实验中的突破曲线。采用线性吸附驱动力模型对流柱吸附过程中的运行参数和设计参数进行了粗略估计。
展开▼
