模拟酿酒酵母多级连续发酵的混合模型

IF 3.2 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Huidong Zhu, Jianye Xia
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引用次数: 0

摘要

随着合成生物技术的快速发展,工业菌种的性能也在逐步提高。传统的间歇式培养和喂料式培养由于都是动态过程,生产效率有限,产品质量参差不齐,而多级连续培养可以最大限度地提高特定发酵过程的生产效率,实现产品质量的稳定。然而,多级连续发酵下的每个单级发酵都需要精确的稳态控制,因此需要一个具有足够精度的模型来设计和控制多级连续发酵过程。目前,有关多级连续发酵控制动力学模型的报道很少。在这项工作中,我们构建了一个混合模型,既考虑了氧限制,又考虑了克拉布特里效应,用于酿酒酵母的多级连续培养。该模型的准确率为 80%,讨论了该模型的优点和局限性,并提出了潜在的改进策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Model Simulating Multi-Stage Continuous Fermentation of Saccharomyces cerevisiae

The performance of industrial strains has gradually improved with the rapid development of synthetic biotechnology. The production efficiency of traditional batch and fed-batch culture is limited and product quality varies since both are dynamic processes, whereas multi-stage continuous culture can maximise the production efficiency of specific fermentation processes and achieve consistent product quality. However, each single-stage fermentation under multi-stage continuous fermentation requires accurate steady-state control, and a model with adequate accuracy is required for designing and controlling a multi-stage continuous fermentation process. At present, there are few reports on kinetic models for the control of multi-stage continuous fermentation. In this work, we constructed a hybrid model for Saccharomyces cerevisiae multi-stage continuous culture, taking both oxygen limitation and Crabtree effect. The accuracy of the model was ∼80%, the advantages and limitations of the model are discussed and a potential improvement strategy is proposed.

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来源期刊
Biotechnology Journal
Biotechnology Journal Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
8.90
自引率
2.10%
发文量
123
审稿时长
1.5 months
期刊介绍: Biotechnology Journal (2019 Journal Citation Reports: 3.543) is fully comprehensive in its scope and publishes strictly peer-reviewed papers covering novel aspects and methods in all areas of biotechnology. Some issues are devoted to a special topic, providing the latest information on the most crucial areas of research and technological advances. In addition to these special issues, the journal welcomes unsolicited submissions for primary research articles, such as Research Articles, Rapid Communications and Biotech Methods. BTJ also welcomes proposals of Review Articles - please send in a brief outline of the article and the senior author''s CV to the editorial office. BTJ promotes a special emphasis on: Systems Biotechnology Synthetic Biology and Metabolic Engineering Nanobiotechnology and Biomaterials Tissue engineering, Regenerative Medicine and Stem cells Gene Editing, Gene therapy and Immunotherapy Omics technologies Industrial Biotechnology, Biopharmaceuticals and Biocatalysis Bioprocess engineering and Downstream processing Plant Biotechnology Biosafety, Biotech Ethics, Science Communication Methods and Advances.
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