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Optimization of Solid-State Ethanol Fermentation with the Soluble Carbohydrate in Sweet Sorghum Stalk Using Response Surface Methodology

机译:响应面法优化甜高粱秆中可溶性碳水化合物的固态乙醇发酵

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In order to improve the ethanol yield efficiency through solid-state fermentation with sweet sorghum stalk, the Plackett-Burman design was applied for screening the impact of fermentation temperature, initial pH, yeast inoculation ratio, supplement dose of (NH_(4))_(2)SO_(4), K_(2)HPO_(4), and MgSO_(4)(centre dot)7H_(2)O on ethanol yield efficiency. Meanwhile, according to the screened results, the Box-Behnken design was employed for the optimization of the main factors. The results of Plackett-Burman analysis indicated that the importance sequence of the mentioned 6 factors was the supplement dose of K_(2)HPO_(4) > the supplement dose of (NH_(4))_(2)SO_(4) > initial pH > yeast inoculation ratio > fermentation temperature. Three significant factors, including temperature, supplement dose of (NH_(4))_(2)SO_(4) and supplement dose of K_(2)HPO_(4), were chosen as the independent variables. Box-Behnken design was conducted to obtain the multivariate quadratic regression model, which was used to predict ethanol yield efficiency. The optimum conditions for solid-state ethanol fermentation of sweet sorghum stalk by response surface methodology were determined as follows: fermentation temperature 30.72 deg C, (NH_(4))_(2)SO_(4) supplement dose 0.202percent, K_(2)HPO_(4) supplement dose 0.127percent. The maximum predictive ethanol yield efficiency of 93.0percent was obtained at the optimized conditions. Ethanol yield efficiency of the verification experiment was 93.4+-0.7percent, suggesting that the multivariate quadratic regression model was valid for the prediction.
机译:为了提高甜高粱茎秆固态发酵的乙醇产量效率,采用Plackett-Burman设计筛选发酵温度,初始pH,酵母接种率,(NH_(4))_的添加量的影响。 (2)SO_(4),K_(2)HPO_(4)和MgSO_(4)(中心点)7H_(2)O对乙醇产率的影响。同时,根据筛选结果,采用Box-Behnken设计对主要因素进行优化。 Plackett-Burman分析的结果表明,上述6个因素的重要性顺序为K_(2)HPO_(4)的补充剂量>(NH_(4))_(2)SO_(4)的补充剂量>初始pH>酵母接种率>发酵温度。选择温度,(NH_(4))_(2)SO_(4)的补充剂量和K_(2)HPO_(4)的补充剂量这三个重要因素作为自变量。进行Box-Behnken设计以获得多元二次回归模型,该模型用于预测乙醇的产率。通过响应面法确定甜高粱茎秆固态乙醇发酵的最佳条件如下:发酵温度30.72℃,(NH_(4))_(2)SO_(4)补充剂量0.202%,K_(2 HPO_(4)补充剂量为0.127%。在最佳条件下,乙醇的最高预测产率为93.0%。验证实验的乙醇产率效率为93.4±0.7%,这表明多元二次回归模型可用于预测。

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