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Detoxification of Electroplating Sludge by Bioleaching: Process and Kinetic Aspects

机译:通过生物浸出对电镀污泥进行脱毒:过程和动力学方面

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The presence of significant amounts of heavy metals in industrial sludge poses a severe threat to the environment and human health. In this study, bioleaching of heavy metals from electroplating industrial sludge was investigated using indigenous Acidithiobacillus ferrooxidans as the bacterial agent The effect of sludge loading on the efficiency of heavy metal removal by bioleaching was studied. The efficiency of bioleaching was assessed based on media acidification, oxidation-reduction potential, and concentration of heavy metals in the aqueous solution. Experimental results showed that the sludge loading had great impact on the bioleaching process. At sludge loading of 1% (w/v), maximum removal of 96.31% and 84.4% was achieved for the heavy metals Zn and Ni, respectively. Bioleaching data were subjected to first-order-based kinetic studies for rate constant and further shrinking core model analysis was applied. It was found that the rate constants for Zn and Ni bioleaching were maximum at the treatment with lower sludge loading. The kinetic analysis using the shrinking core model revealed that chemical reaction step controls the overall rate of the bioleaching process. Such a kinetic study will be helpful in designing the sludge detoxification process by bioleaching.
机译:工业污泥中大量重金属的存在对环境和人类健康构成了严重威胁。在这项研究中,研究了使用本地酸性氧化硫杆菌铁氧体作为细菌制剂从电镀工业污泥中重金属的生物浸出。研究了污泥负载量对生物浸出去除重金属效率的影响。基于介质酸化,氧化还原电势和水溶液中重金属的浓度评估生物浸出的效率。实验结果表明,污泥负荷对生物浸出过程影响很大。在污泥负荷为1%(w / v)时,重金属Zn和Ni的最大去除率分别为96.31%和84.4%。对生物浸出数据进行了基于一级动力学的速率常数研究,并应用了进一步缩小的岩心模型分析。发现在较低的污泥负荷下,锌和镍生物浸出的速率常数最大。使用收缩核模型的动力学分析表明,化学反应步骤控制着生物浸出过程的总速率。这样的动力学研究将有助于通过生物浸出设计污泥的解毒过程。

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