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Empirical modeling of olive oil mill wastewater treatment using loofa-immobilized Phanerochaete chrysosporium

机译:卢法固定Phanerochaete chrysosporium处理橄榄油厂废水的经验模型

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Central composite design (CCD) technique was used to develop an empirical model for the treatment of olive oil mill wastewater (OMW) by loofa-immobilized Phanerochaete chrysosporium. The concentration of OMW (A) (i.e., 20%, 30% and 40%), concentration of ammonium sulfate as a source of nitrogen (B) (i.e., 0.25, 0.5 and 0.75 g/l) and glucose as a carbon source (C) (i.e., 3, 5 and 7 g/l), both of which used for the fungus growth, were considered as independent variables. The influence of these three regressors on the four dependent variables, i.e., chemical oxygen demand (COD), total phenols (TP), color and aromaticity removals was evaluated using second-order polynomial multiple regression model. Analysis of variance (ANOVA) showed a high coefficient of determination (R~2) value of 0.912-0.982, thus ensuring a satisfactory adjustment of the regression model with the experimental data. The positive sign for the coefficient of OMW concentration in the model, indicated that the COD, color and aromaticity removals increased with increased levels of this factor. While TP removal decreased with the increased concentration of OMW. The negative effect of nitrogen source concentration on the COD and color removals indicated that the response levels decreased as B increased. The positive sign for the coefficient of the interaction between two factors A and B on the removal of TP and color, indicated that a simultaneous increase in the OMW and the nitrogen source concentrations led to an increase in those responses. Although simultaneous increase in the concentrations of nitrogen source and glucose, decreased COD removal. Quadratic models were predicted for the response variables, i.e., pollutant removals, and the maximum values predicted were 64%, 88%, 48% and 39% for COD, TP, color and aromaticity, respectively. Optimum conditions for this wastewater treatment were obtained based on the performance of the loofa-immobilized P. chrysosporium in the experiment where OMW concentration was at the high level and variables B and C were each at their midrange value.
机译:中央复合设计(CCD)技术用于开发经验法模型,以卢法固定Phanerochaete chrysosporium处理橄榄油厂废水(OMW)。 OMW(A)的浓度(即20%,30%和40%),作为氮源的硫酸铵的浓度(B)(即0.25、0.5和0.75 g / l)和葡萄糖作为碳源(C)(即3、5和7 g / l)都用于真菌生长,被视为自变量。使用二阶多项式多元回归模型评估了这三个回归变量对四个因变量的影响,即化学需氧量(COD),总酚(TP),颜色和芳香去除量。方差分析(ANOVA)显示出0.912-0.982的高确定系数(R〜2)值,从而确保通过实验数据对回归模型进行满意的调整。模型中OMW浓度系数的正号表示,随着该因子水平的增加,COD,颜色和芳香性去除量也增加。 TP的去除随着OMW浓度的增加而降低。氮源浓度对COD和颜色去除的负面影响表明,随着B的增加,响应水平降低。两个因子A和B之间的相互作用系数在去除TP和显色上的正号表示,OMW和氮源浓度的同时增加导致这些响应的增加。尽管同时增加了氮源和葡萄糖的浓度,但减少了COD的去除。预测了响应变量(即污染物去除)的二次模型,预测的COD,TP,颜色和芳香度的最大值分别为64%,88%,48%和39%。该废水处理的最佳条件是根据实验中牛油树脂固定化的金黄色葡萄球菌的性能获得的,该实验中OMW浓度较高,变量B和C均处于中间值。

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