{"title":"模拟酿酒酵母多级连续发酵的混合模型","authors":"Huidong Zhu, Jianye Xia","doi":"10.1002/biot.202400232","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 <i>Saccharomyces cerevisiae</i> 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.</p>\n </div>","PeriodicalId":134,"journal":{"name":"Biotechnology Journal","volume":"19 10","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Hybrid Model Simulating Multi-Stage Continuous Fermentation of Saccharomyces cerevisiae\",\"authors\":\"Huidong Zhu, Jianye Xia\",\"doi\":\"10.1002/biot.202400232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>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 <i>Saccharomyces cerevisiae</i> 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.</p>\\n </div>\",\"PeriodicalId\":134,\"journal\":{\"name\":\"Biotechnology Journal\",\"volume\":\"19 10\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotechnology Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/biot.202400232\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology Journal","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/biot.202400232","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
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.
Biotechnology JournalBiochemistry, 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.