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首页> 外文期刊>Biotechnology and Bioengineering >Model-Based Estimation of Optimal Temperature Profile During Simultaneous Saccharification and Fermentation of Arundo donax
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Model-Based Estimation of Optimal Temperature Profile During Simultaneous Saccharification and Fermentation of Arundo donax

机译:Arundo donax糖化和发酵过程中最佳温度分布的基于模型的估计

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摘要

A kinetic model fitted to enzymatic hydrolysis of Arundo donax was coupled to a fermentation kinetic model derived from simultaneous saccharification and fermentation(SSF) experiments at different temperatures for the determination of optimal temperature profile (between 36 and 45℃) using iterative dynamic programming (IDP). A sensitivity analysis of enzyme kinetic model not only facilitated model reduction in terms of number of parameters, but also enabled artifacts from parameter estimations to be identified. In separate fermentation experiments conducted at 35, 40, 45, and 50℃ using ~40 g/L background glucose in fiber-free liquid fraction of Arundo it was found that growth was possible at 40℃, but the fermentation capacity was completely lost after 12 h at 50℃. The final ethanol concentration obtained after 120 h in isothermal SSF experiments at 36, 39, 42, and 45℃ were 10.6, 13.7, 14.2, and 12.5 g/L, respectively. The predicted optimal temperature profile in SSF determined by iterative dynamic programming was (i) gradual decrease from 40 to 37.5℃ until 16 h, (ii) a linear increase upto 45℃ Cuntil 80 h, and (iii) gradual decrease by 1℃ until 120 h. Experimental results were in good agreement with the model predictions. The ethanol concentration after 72 h obtained in the optimal case was 13.6 g/L in comparison to 9.1, 12.2, 12.6, and 11.6 g/L for ISO-SSF at 36, 39, 42, and 45℃, respectively. Moreover this value was 95.8% of the final value achieved at the end of 120 h, indicating that the process times could be significantly shortened by using non-isothermal SSF.
机译:将适合Arundo donax酶促水解的动力学模型与源自在不同温度下同时进行糖化和发酵(SSF)实验的发酵动力学模型耦合,以使用迭代动态程序设计(IDP)确定最佳温度曲线(36至45℃) )。酶动力学模型的敏感性分析不仅有助于减少参数数量,而且还可以识别来自参数估计的假象。在约40 g / L的Arundo无纤维液体馏分中以背景葡萄糖在35、40、45和50℃进行的单独发酵实验中,发现在40℃可能生长,但发酵能力在完全发酵后完全丧失在50℃下12小时。在36、39、42和45℃等温SSF实验中120 h后获得的最终乙醇浓度分别为10.6、13.7、14.2和12.5 g / L。通过迭代动态编程确定的SSF中的最佳温度分布预测是(i)从40逐渐降低到37.5℃直到16 h,(ii)线性升高到45℃直到80 h,和(iii)逐渐降低1℃直到120小时实验结果与模型预测吻合良好。在最佳情况下,在72 h后获得的乙醇浓度为13.6 g / L,而在36、39、42和45℃下,ISO-SSF的乙醇浓度分别为9.1、12.2、12.6和11.6 g / L。此外,该值是在120 h结束时达到的最终值的95.8%,表明使用非等温SSF可以显着缩短工艺时间。

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