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Liquid state bioconversion of palm oil mill effluent for cellulase production: statistical optimization of process conditions

机译:用于纤维素酶生产的棕榈油厂废水的液态生物转化:工艺条件的统计优化

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摘要

The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2-level fractional factorial design with six central points. The polynomial regression model was developed using the experimental data including the effects of linear, quadratic and interaction of the factors. The factors involved were substrate (POME) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Statistical analysis showed that the optimum conditions were: temperature of 300C, substrate concentration of 2%, wheat flour concentration of 3%, pH of 4, inoculum of 3% and agitation of 200 rpm. Under these conditions, the model predicted the enzyme production to be about 14 FPU/ml. Analysis of variance (ANOVA) of the design showed a high coefficient of determination (R2) value of 0.99, thus ensuring a high satisfactory adjustment of the quadratic model with the experimental data.
机译:将丝状真菌哈茨木霉用于POME的液态生物转化以生产纤维素酶。进行统计优化以通过具有六个中心点的2级分数因子设计来评估最大纤维素酶生产的理化参数(因子)。多项式回归模型是使用实验数据开发的,其中包括线性,二次和因子相互作用的影响。涉及的因素包括底物(POME)和副底物(小麦粉)的浓度,温度,pH,接种物和搅拌。统计分析表明最佳条件为:温度300℃,底物浓度2%,小麦粉浓度3%,pH 4,接种物3%,搅拌200 rpm。在这些条件下,该模型预测酶的产量约为14 FPU / ml。设计的方差分析(ANOVA)显示出高的确定系数(R2)值为0.99,从而确保通过实验数据对二次模型进行高度满意的调整。

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