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相关概念视频

Fermentation01:29

Fermentation

128.5K
Most eukaryotic organisms require oxygen to survive and function adequately. Such organisms produce large amounts of energy during aerobic respiration by metabolizing glucose and oxygen into carbon dioxide and water. However, most eukaryotes can generate some energy in the absence of oxygen by anaerobic metabolism.
Fermentation is a type of metabolic process that occurs in the absence of oxygen, where organic molecules such as glucose are broken down to produce energy. During this process, the...
128.5K
Microbial Fermentation01:23

Microbial Fermentation

1.3K
Fermentation is a crucial anaerobic metabolic process that enables microbes to derive energy from sugar without relying on oxygen or an electron transport chain. This process is fundamental to various biological and industrial applications and is classified based on the metabolic products generated.Role of Pyruvate in FermentationPyruvate and its derivatives serve as key electron acceptors in fermentative pathways. The oxidation of NADH to regenerate NAD+ is essential for the continuation of...
1.3K
Fates of Pyruvate01:20

Fates of Pyruvate

10.4K
Pyruvate is the end product of glycolysis, where glucose is oxidized to pyruvate, simultaneously reducing NAD+ to NADH. Two molecules of ATP are also produced by substrate-level phosphorylation.
In aerobic organisms, pyruvate is metabolized via the citric acid cycle to produce reduced coenzymes NADH and FADH2. These coenzymes are then oxidized in the electron transport chain to produce ATP and, in the process, regenerate the NAD+ and FAD. As seen in some cell types and organisms, fermentation...
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相关实验视频

Updated: Jan 8, 2026

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method
09:12

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method

Published on: May 19, 2023

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基于机器学习的发酵设计和过程优化策略.

Zhen-Zhi Wang1, Du-Wen Zeng1, Yi-Fan Zhu1

  • 1State Key Laboratory of Microbial Metabolism, and School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

Biodesign research
|December 19, 2025
PubMed
概括
此摘要是机器生成的。

机器学习增强了生物制造的发酵设计和优化. 这种方法优化了条件并探索了应变潜力,推动了医学,食品和生物能源的经济效益.

关键词:
自动发酵过程控制控制自动发酵过程控制有效的生物生产.发酵优化优化发酵的优化机器学习 机器学习过程设计 过程设计

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Light-Controlled Fermentations for Microbial Chemical and Protein Production
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Light-Controlled Fermentations for Microbial Chemical and Protein Production

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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

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相关实验视频

Last Updated: Jan 8, 2026

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method
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Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method

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Light-Controlled Fermentations for Microbial Chemical and Protein Production
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Light-Controlled Fermentations for Microbial Chemical and Protein Production

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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

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科学领域:

  • 生物技术和生物化学工程 生物技术和生物化学工程
  • 工业微生物学 工业微生物学
  • 计算生物学是一种计算生物学.

背景情况:

  • 发酵对于医药,食品和生物能源行业的工业生物生产至关重要,提供了显著的经济优势.
  • 菌株开发是发酵成功的关键,但优化发酵过程本身对于最大限度地提高工程菌株潜力至关重要.
  • 复杂的因素影响发酵,需要先进的计算工具来进行有效的设计和优化.

研究的目的:

  • 审查机器学习在发酵设计和流程优化中的应用.
  • 要突出工作流程,整合实验设计和生物生产的机器学习.
  • 讨论用于高级发酵控制和分析的新兴机器学习策略.

主要方法:

  • 使用实验设计策略来描述发酵系统的性能.
  • 使用机器学习模型模拟发酵操作并预测最佳条件 (介质组成,过程参数).
  • 探索先进的机器学习技术,如自动化过程控制,数据挖掘,转移学习,混合建模和软传感器构建.

主要成果:

  • 机器学习有效模拟发酵系统并确定最佳操作条件.
  • 实验设计和机器学习的整合加速了发酵过程的优化.
  • 先进的机器学习策略扩展了自动控制,应变分析和预测建模中的应用.

结论:

  • 机器学习是优化工业生物生产中复杂发酵系统的强大工具.
  • 描述的工作流程可以有效地探索遗传潜力,并提高生物生产产量.
  • 新兴的机器学习应用程序有望在生物制造的发酵设计,控制和数据分析方面取得进一步的进展.