Department of Chemical, Environmental and Material Engineering, University of Jaén, 23071 Jaén, Spain.
Bioresour Technol. 2013 Dec;149:149-54. doi: 10.1016/j.biortech.2013.09.046. Epub 2013 Sep 20.
Statistical modeling and optimization of dilute sulfuric acid hydrolysis of olive tree pruning biomass has been performed using response surface methodology. Central composite rotatable design was applied to assess the effect of acid concentration, reaction time and temperature on efficiency and selectivity of hemicellulosic monomeric carbohydrates to d-xylose. Second-order polynomial model was fitted to experimental data to find the optimum reaction conditions by multiple regression analysis. The monomeric d-xylose recovery 85% (as predicted by the model) was achieved under optimized hydrolysis conditions (1.27% acid concentration, 96.5°C and 138 min), confirming the high validity of the developed model. The content of d-glucose (8.3%) and monosaccharide degradation products (0.1% furfural and 0.04% 5-hydroxymethylfurfural) provided a high quality subtract, ready for subsequent biochemical conversion to value-added products.
采用响应面法对橄榄油修剪生物质的稀硫酸水解进行了统计建模和优化。应用中心复合旋转设计来评估酸浓度、反应时间和温度对半纤维素单糖向 d-木糖的效率和选择性的影响。通过多元回归分析，对实验数据进行二次多项式模型拟合，以找到最佳反应条件。在优化的水解条件下（酸浓度为 1.27%、96.5°C 和 138 分钟），实现了 85%的单体 d-木糖回收率（模型预测值），证实了所开发模型的高有效性。d-葡萄糖（8.3%）和单糖降解产物（0.1%糠醛和 0.04%5-羟甲基糠醛）的含量提供了高质量的副产物，可直接用于后续的生物化学转化为高附加值产品。
