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Microbial Fermentation01:23

Microbial Fermentation

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...
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Fates of Pyruvate01:20

Fates of Pyruvate

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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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Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...

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相关实验视频

Updated: Jun 4, 2025

Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions
06:17

Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions

Published on: August 15, 2019

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了解微生物合成气发酵速率

Iris Kerkhof1, Lars Puiman1, Adrie J J Straathof2

  • 1Department of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands.

Applied microbiology and biotechnology
|December 20, 2024
PubMed
概括
此摘要是机器生成的。

了解合成气发酵中的微生物动力学是改进过程的关键. 这项研究强调了数据的局限性,特别是溶解气体测量,阻碍了Clostridium autoethanogenum的完整动力模型.

关键词:
克洛斯特里迪姆的自动乙醇原生.一氧化碳的一氧化碳.化学定位器 化学定位器发酵 发酵 是一个过程.运动模型的动力模型.辛加斯天然气公司

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Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
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Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

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Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
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Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

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相关实验视频

Last Updated: Jun 4, 2025

Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions
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Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions

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Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
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Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
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科学领域:

  • 微生物生物技术 微生物生物技术
  • 生物化学工程是生物化学工程.
  • 合成生物学 合成生物学

背景情况:

  • 工业合成气发酵以乙醇依赖于Clostridium autoethanogenum. 这是一个非常好的方法.
  • 过程优化需要在不同的条件下对微生物动力学的定量理解.
  • 现有的模型受到数据差距的限制,特别是关于溶解气体度的数据差距.

研究的目的:

  • 开发一个可靠的动力模型,用于Clostridium autoethanogenum合成气发酵.
  • 研究反应条件对发酵性能的影响.
  • 识别限制更深层次的过程理解的知识差距.

主要方法:

  • 收集了37个化学定位稳定状态和批量实验的数据.
  • 应用了非结构化的动力模型和Pirt方程来关联生物质特定率.
  • 分析了CO转换实验以确定动力参数.

主要成果:

  • 大多数生物质特定率与稀释率相关.
  • 乙醇与乙酸生产的比率没有明显依赖于溶解的度.
  • 缺乏溶解的CO和H2测量限制了对气体吸收依赖性的理解.

结论:

  • 非结构化的动力模型提供了对合成气发酵动力学的部分理解.
  • 进一步的研究需要直接测量溶解的气体 (CO,H2).
  • 了解气体吸收和产品抑制对于提高发酵效率至关重要.