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分批培养里氏木霉的动力学研究及其在补料分批发酵中提高纤维素酶产量的应用。

Kinetic studies on batch cultivation of Trichoderma reesei and application to enhance cellulase production by fed-batch fermentation.

机构信息

Tianjin Key Laboratory for Industrial Biological Systems and Bioprocessing Engineering, Tianjin, Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China.

出版信息

J Biotechnol. 2013 Jul 20;166(4):192-7. doi: 10.1016/j.jbiotec.2013.04.023. Epub 2013 May 20.

Abstract

Reducing the production cost of cellulase as the key enzyme for cellulose hydrolysis to fermentable sugars remains a major challenge for biofuel production. Because of the complexity of cellulase production, kinetic modeling and mass balance calculation can be used as effective tools for process design and optimization. In this study, kinetic models for cell growth, substrate consumption and cellulase production in batch fermentation were developed, and then applied in fed-batch fermentation to enhance cellulase production. Inhibition effect of substrate was considered and a modified Luedeking-Piret model was developed for cellulase production and substrate consumption according to the growth characteristics of Trichoderma reesei. The model predictions fit well with the experimental data. Simulation results showed that higher initial substrate concentration led to decrease of cellulase production rate. Mass balance and kinetic simulation results were applied to determine the feeding strategy. Cellulase production and its corresponding productivity increased by 82.13% after employing the proper feeding strategy in fed-batch fermentation. This method combining mathematics and chemometrics by kinetic modeling and mass balance can not only improve cellulase fermentation process, but also help to better understand the cellulase fermentation process. The model development can also provide insight to other similar fermentation processes.

摘要

降低纤维素酶(纤维素水解为可发酵糖的关键酶)的生产成本仍然是生物燃料生产的主要挑战。由于纤维素酶生产的复杂性,动力学建模和质量平衡计算可以作为工艺设计和优化的有效工具。本研究中,开发了分批发酵中细胞生长、基质消耗和纤维素酶生产的动力学模型,并将其应用于补料分批发酵中以提高纤维素酶的生产。根据里氏木霉的生长特性,考虑了基质的抑制作用,并对纤维素酶生产和基质消耗的 Luedeking-Piret 模型进行了修正。模型预测与实验数据吻合良好。模拟结果表明,较高的初始基质浓度会降低纤维素酶的生产速率。质量平衡和动力学模拟结果用于确定进料策略。在补料分批发酵中采用适当的进料策略后,纤维素酶的产量及其相应的生产率提高了 82.13%。通过动力学建模和质量平衡的数学和化学计量学方法相结合,可以不仅改善纤维素酶发酵过程,还有助于更好地理解纤维素酶发酵过程。模型的开发还可以为其他类似的发酵过程提供参考。

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