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利用酿酒酵母对微晶纤维素进行同步糖化发酵的动力学模型。

A kinetic model for simultaneous saccharification and fermentation of Avicel with Saccharomyces cerevisiae.

机构信息

Department of Mechanical and Mechatronic Engineering, University of Stellenbosch, Private Bag X1, Stellenbosch 7602, South Africa.

出版信息

Biotechnol Bioeng. 2011 Apr;108(4):924-33. doi: 10.1002/bit.23000. Epub 2010 Nov 30.

Abstract

This work describes a numerical model for predicting simultaneous saccharification and fermentation of Avicel, an insoluble crystalline cellulose polymer. Separate anoxic cultivations of 40 g/L glucose and 100 g/L Avicel were conducted to verify model predictions and obtain parameters to describe the reaction kinetics. Saccharification of Avicel was achieved with Trichoderma reesei cellulases from the enzyme preparation Spezyme CP with an enzyme loading of 10 FPU/g cellulose. Cultivations were supplemented with 50 IU/g cellulose of β-glucosidase from Novozym 188 to prevent product inhibition by cellobiose. Saccharomyces cerevisiae MH-1000 is a robust industrial strain and was used to ferment glucose to ethanol, glycerol, and carbon dioxide. The numerical model presented in this paper differs from previous models by separating the endoglucanase and exoglucanase enzyme kinetics and allowing for inhibitive site competition. Assuming all enzymes remain active and that each enzyme complex has a corresponding constant specific activity, the model is capable of predicting adsorbed enzyme concentrations with reasonable accuracy. Comparison of predicted values to experimental measurements indicated that the numerical model was capable of capturing the significant elements involved with cellulose conversion to ethanol.

摘要

这项工作描述了一个用于预测微晶纤维素聚合物 Avicel 同步糖化发酵的数值模型。分别进行了 40g/L 葡萄糖和 100g/L Avicel 的缺氧培养,以验证模型预测并获得描述反应动力学的参数。使用来自酶制剂 Spezyme CP 的里氏木霉纤维素酶对 Avicel 进行糖化,酶用量为 10 FPU/g 纤维素。培养物中添加了 50IU/g 纤维素的 Novozym 188 β-葡萄糖苷酶,以防止细胞二糖对产物的抑制。酿酒酵母 MH-1000 是一种强壮的工业菌株,用于将葡萄糖发酵为乙醇、甘油和二氧化碳。本文提出的数值模型与以前的模型不同之处在于,它将内切葡聚糖酶和外切葡聚糖酶的酶动力学分开,并允许抑制性位点竞争。假设所有酶都保持活性,并且每个酶复合物都有相应的恒定比活性,那么该模型能够以合理的精度预测吸附酶的浓度。将预测值与实验测量值进行比较表明,该数值模型能够捕捉到纤维素转化为乙醇的重要因素。

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