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首页> 外文期刊>Separation and Purification Technology >Enhancement of bioleaching of a spent Ni/Mo hydroprocessing catalyst by Penicillium simplicissimum
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Enhancement of bioleaching of a spent Ni/Mo hydroprocessing catalyst by Penicillium simplicissimum

机译：简易青霉增强了废Ni / Mo加氢处理催化剂的生物浸出

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Statistically based experimental designs were applied to screen and optimize the bioleaching of spent hydrocracking catalyst by Penicillium simplicissimum. Eleven factors were examined for their significance on bioleaching using a Plackett-Burman factorial design. Four significant variables (pulp density, sucrose, NaNO3, and yeast extract concentrations) were selected for the optimization studies. The combined effect of these variables on metal bioleaching was studied using a central composite design (CCD). Second-order polynomials were established to identify the relationship between the recovery percent of the metals and the four significant variables. The optimal values of the variables for maximum metals bioleaching were as follows: pulp density (4.0%, w/v), sucrose (90 g/L), NaNO3 (2 g/L) and yeast extract (0.36 g/L). The maximum metals recovery percentages from the predicted models were 97.6% Mo, 45.7% Ni, and 14.3% Al. These values were in perfect agreement with the actual experimental values, which were (98.8 ± 0.9)% Mo, (46.5 ± 0.6)% Ni, and (13.7 ± 0.4)% Al. The growth kinetics of the fungus in the presence of the spent catalyst at various pulp densities (2-11%) and optimal condition was modeled using the modified Gom-pertz model. The kinetic parameters in the system were estimated using MATLAB R2008a. Results showed that the modified Gompertz model fit the experimental data well. The relationship between the specific growth rate and pulp density was found by modifying the Luong inhibition model which gave maximum specific growth rate of 0.034 day"1, optimal pulp density of 3.95% w/v and critical inhibitor concentration of 10.9% w/v.
机译：基于统计的实验设计被应用于筛选和优化简单青霉对废加氢裂化催化剂的生物浸出。使用Plackett-Burman因子设计对11个因子在生物浸出中的重要性进行了检查。选择了四个重要变量（纸浆密度，蔗糖，NaNO3和酵母提取物浓度）进行优化研究。使用中央复合设计（CCD）研究了这些变量对金属生物浸出的综合影响。建立了二阶多项式以识别金属的回收率与四个重要变量之间的关系。最大金属生物浸出变量的最佳值如下：纸浆密度（4.0％，w / v），蔗糖（90 g / L），NaNO3（2 g / L）和酵母提取物（0.36 g / L）。预测模型中的最大金属回收率分别为97.6％Mo，45.7％Ni和14.3％Al。这些值与（98.8±0.9）％Mo，（46.5±0.6）％Ni和（13.7±0.4）％Al的实际实验值完全吻合。使用改良的Gom-pertz模型对在各种纸浆密度（2-11％）和最佳条件下废催化剂存在下真菌的生长动力学进行了建模。使用MATLAB R2008a估算了系统中的动力学参数。结果表明，改进的Gompertz模型与实验数据吻合良好。通过修改Luong抑制模型发现比生长速率与纸浆密度之间的关系，该模型给出最大比生长速率为0.034天-1，最佳纸浆密度为3.95％w / v，临界抑制剂浓度为10.9％w / v。

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