Box-Behnken设计
响应面法
Mercury(编程语言)
环境修复
环境化学
化学
环境科学
制浆造纸工业
离子强度
中心组合设计
污染
环境工程
生物
色谱法
计算机科学
生态学
工程类
物理化学
水溶液
程序设计语言
作者
Nicole Ferreira,Thainara Viana,Bruno Henriquetable,Daniela Tavares,Jéssica Jacinto,João Colónia,João Pinto,Eduarda Pereira
标识
DOI:10.1016/j.jhazmat.2022.130405
摘要
Mercury (Hg) is a global and top priority contaminant, toxic at low concentrations. Although it has been progressively eliminated from processes, this metal continues to circulate in the atmosphere, soil, and water. In this work, the Response Surface Methodology (RSM) combined with a Box-Behnken Design (3 factors - 3 levels) was used to optimize key operational conditions that influence the removal and uptake of Hg by living macroalga Ulva sp. in a complex mixture containing several elements used in industry (potentially toxic elements, rare earth elements, and platinum-group elements) (initial concentration 10, 100 and 190 µg/L, salinity 15, 25 and 35, seaweed stock density 1.0, 3.0 and 5.0 g/L). Results evidenced the great capability of Ulva sp. to remove Hg, with removal efficiencies between 69 % and 97 %. 3-D surfaces showed that the most impactful variable was seaweed stock density, with higher densities leading to higher removal. Regarding the uptake, a positive correlation between initial concentration and qt values was observed. The appliance of RSM made possible to obtain optimal operating conditions for removing virtually 100 % of Hg from waters with high ionic strength, which is a pivotal step in the direction of the application of this remediation biotechnology at large scale.
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