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Methods for Controlling Microbial Growth01:29

Methods for Controlling Microbial Growth

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Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...
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Bioreactor Controls-III01:22

Bioreactor Controls-III

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Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
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Designing Growth Media for Bioreactors01:30

Designing Growth Media for Bioreactors

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Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...
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Methods of Medium Optimization01:28

Methods of Medium Optimization

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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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Scale-Up Processes01:14

Scale-Up Processes

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The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
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Upstream Processing01:27

Upstream Processing

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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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目前对微生物制造过程的OMIC指导过程优化取得的进展.

Shengtong Wan1, Xin Liu2,3,4, Wentao Sun5,6,7

  • 1Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.

Bioresources and bioprocessing
|April 22, 2024
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概括

奥米克技术通过优化流程,超越传统方法来增强微生物制造. 这种方法提高了可持续生产的生产率和经济可行性.

关键词:
发酵性能 发酵性能 发酵性能微生物制造业 微生物制造业俄米克斯 (Omics) 是一个电子游戏.过程优化 过程优化

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科学领域:

  • 生物技术和工业微生物学
  • 代谢工程是代谢工程.
  • 发酵科学 发酵科学

背景情况:

  • 微生物制造对于食品,医药和能源领域的可持续生产至关重要.
  • 目前的流程优化依赖于经验和试错,限制了生产力和经济可行性.
  • 了解细胞生理学是释放全部生产潜力的关键.

研究的目的:

  • 系统地审查微生物制造中的传统和omics技术引导的流程优化.
  • 突出OMIC技术的好处,以提高微生物生产性能.
  • 预测微生物制造工艺优化的未来趋势.

主要方法:

  • 审查传统的,基于经验的流程优化技术.
  • 对微生物分析的奥米克技术 (基因组学,转录组学,蛋白质组学,代谢组学) 的分析.
  • 整合多层次的omics数据,以实现知情化的流程优化.

主要成果:

  • 欧米克技术使微生物代谢和发酵的全面分析成为可能.
  • 使用omics的数据驱动优化显著提高了微生物制造业绩.
  • 这种方法克服了传统方法的局限性,提高了生产力和经济效益.

结论:

  • 奥米克技术为微生物制造工艺优化提供了更明确,更有效的方法.
  • 整合omics数据对于最大限度地提高生产率和实现经济可行性至关重要.
  • 未来的趋势指向先进的OMIC集成,以实现可持续和高效的微生物生产.