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Optimal control of enzymatic hydrolysis of lignocellulosic biomass

机译:木质纤维素生物质酶水解的最佳控制

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Cellulose hydrolysis is a key step in lignocellulosic ethanol production. At present, commercial production of lignocellulosic ethanol is limited due to the long hydrolysis times and requirement of large quantity of expensive enzymes. Therefore, reduction of the enzyme consumption as well as hydrolysis time is crucial and model based optimisation methods can be used for the same. A semi-mechanistic model with cellobiose, glucose, and xylose inhibition with Arrhenius based relationship between temperature and kinetic parameters and thermal deactivation of enzymes was used for the present study. Optimal control problem with temperature as control variable was formulated after considering two different objective functions. For the objective of glucose concentration maximisation at final batch time, the benefit of implementing optimal control increased with reducing batch times. For the batch time of 24 hours, the final glucose concentration increased by 3.2%. For the objective of batch time minimisation, the reduction of batch time was 5.8% and it was observed for a target glucose concentration of 45?g/kg of cellulose. The use of optimal control can reduce the enzyme requirement up to 77.8% of endoglucanase and exoglucanase for glucose maximisation and 22.2% for batch time minimisation. The above results show the usefulness of optimal temperature control in increasing the glucose concentration, and reducing the batch time without increasing the enzyme used.
机译:纤维素水解是木质纤维素乙醇生产的关键步骤。目前,由于长水解时间和需要大量昂贵的酶,木质纤维素乙醇的商业生产受到限制。因此,减少酶的消耗以及水解时间是至关重要的,并且基于模型的优化方法可以用于该方法。基于纤维蛋白糖,葡萄糖和木糖抑制作用的半力学模型,基于温度和动力学参数以及酶的热失活之间的关系,基于Arrhenius,用于本研究。考虑了两个不同的目标函数,提出了以温度为控制变量的最优控制问题。为了使最终批次时间的葡萄糖浓度最大化,实现最佳控制的好处随着批次时间的减少而增加。在24小时的分批时间内,最终葡萄糖浓度增加了3.2%。为了使批处理时间最小化,批处理时间减少了5.8%,并且观察到目标葡萄糖浓度为45?g / kg纤维素。最佳控制的使用可以最大程度地减少内切葡聚糖酶和外切葡聚糖酶的酶需求(最大葡萄糖),减少22.2%(最小化批处理时间)。以上结果表明最佳温度控制在增加葡萄糖浓度和减少分批时间而不增加酶用量方面的有用性。

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