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首页> 外文期刊>Journal of Environmental Science and Health. A, Toxic/Hazardous Substances & Environmental Engineering >Optimization of two-step bioleaching of spent petroleum refinery catalyst by Acidithiobacillus thiooxidans using response surface methodology
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Optimization of two-step bioleaching of spent petroleum refinery catalyst by Acidithiobacillus thiooxidans using response surface methodology

机译：响应面法优化硫代酸硫硫杆菌对石油精炼催化剂两步生物浸出的优化

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摘要

A central composite design (CCD) combined with response surface methodology (RSM) was employed for maximizing bioleaching yields of metals (Al, Mo, Ni, and V) from as-received spent refinery catalyst using Acidithiobacillus thiooxidans. Three independent variables, namely initial pH, sulfur concentration, and pulp density were investigated. The pH was found to be the most influential parameter with leaching yields of metals varying inversely with pH. Analysis of variance (ANOVA) of the quadratic model indicated that the predicted values were in good agreement with experimental data. Under optimized conditions of 1.0% pulp density, 1.5% sulfur and pH 1.5, about 93% Ni, 44% Al, 34% Mo, and 94% V was leached from the spent refinery catalyst. Among all the metals, V had the highest maximum rate of leaching (Vmax) according to the Michaelis-Menten equation. The results of the study suggested that two-step bioleaching is efficient in leaching of metals from spent refinery catalyst. Moreover, the process can be conducted with as received spent refinery catalyst, thus making the process cost effective for large-scale applications.
机译：中央复合设计（CCD）与响应表面方法（RSM）结合使用，以利用硫代酸性氧化硫杆菌从原厂废炼油催化剂中最大化金属（Al，Mo，Ni和V）的生物浸出率。研究了三个独立变量，即初始pH，硫浓度和纸浆密度。发现pH是最有影响的参数，其中金属的浸出产率与pH成反比。二次模型的方差分析（ANOVA）表明，预测值与实验数据吻合良好。在纸浆密度为1.0％，硫为1.5％，pH为1.5的优化条件下，从废炼厂催化剂中浸出了约93％的Ni，44％的Al，34％的Mo和94％的V。在所有金属中，根据Michaelis-Menten方程，V具有最高的最大浸出率（Vmax）。研究结果表明，两步生物浸出法可有效地从炼厂废催化剂中浸出金属。而且，该方法可以使用收到的废炼厂催化剂进行，因此使该方法对于大规模应用而言具有成本效益。

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