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利用巨型芦苇(芦竹)生产木糖:稀酸水解的建模与优化

Xylose production from giant reed (Arundo donax L.): Modeling and optimization of dilute acid hydrolysis.

作者信息

Shatalov Anatoly A, Pereira Helena

机构信息

Forest Research Center, Institute of Agronomy, Technical University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal.

Forest Research Center, Institute of Agronomy, Technical University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal.

出版信息

Carbohydr Polym. 2012 Jan 4;87(1):210-217. doi: 10.1016/j.carbpol.2011.07.041. Epub 2011 Jul 30.

Abstract

Statistical modeling and optimization of dilute sulfuric acid hydrolysis of potential energy crop giant reed (Arundo donax L.) 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 xylan polysaccharide conversion to xylose. Second-order polynomial model was fitted to experimental data to find the optimum reaction conditions by multiple regression analysis. The monomeric xylose recovery ca. 94% (vs. 93% predicted) was achieved under optimized hydrolysis conditions (1.27% acid concentration, 141.6°C and 36.4min), confirming the high validity of the developed model. The low content of glucose (2.7%) and monosaccharide degradation products (0.9% furfural and 0.7% 5-hydroxymethylfurfural) provided a high quality xylose-rich subtract, ready for subsequent biochemical conversion to value-added products. The solid xylan-free residue was easily converted to fermentable sugars resulting in cellulose digestibility of 70% vs. 9% for untreated biomass.

摘要

采用响应面法对潜在能源作物巨型芦苇(芦竹)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、反应时间和温度对木聚糖多糖转化为木糖的效率和选择性的影响。通过多元回归分析将二阶多项式模型拟合到实验数据中,以找到最佳反应条件。在优化的水解条件(酸浓度1.27%、141.6°C和36.4分钟)下,木糖单体回收率约为94%(与预测的93%相比),证实了所建立模型的高度有效性。低含量的葡萄糖(2.7%)和单糖降解产物(0.9%糠醛和0.7%5-羟甲基糠醛)提供了高质量的富含木糖的底物,可用于后续生物化学转化为增值产品。无木聚糖的固体残渣很容易转化为可发酵糖,纤维素消化率为70%,而未处理生物质的纤维素消化率为9%。

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