相关实验视频
Updated: Jul 11, 2026

13:28
Introducing Shear Stress in the Study of Bacterial Adhesion
Published on: September 2, 2011
15.8K
量化和建模宏观颗粒诱导的机械应力,用于不同的摇瓶种植条件
Marcel Schrader1,2, Kathrin Schrinner2,3, Laura Polomsky1,2
1Institute for Particle Technology, Technische Universität Braunschweig, Braunschweig, Germany.
Frontiers in bioengineering and biotechnology
|September 21, 2023
概括
这项研究引入了一种新的模型,用于优化像Lentzea aerocolonigenes这样的有线微生物的摇瓶培养中的机械应力. 应力面积比率 (SAR) 有助于确定产品高产量的最佳条件.
科学领域:
- 生物技术是生物技术.
- 微生物培养 微生物培养
- 生物工艺工程 生物工艺工程
背景情况:
- 生物技术中的线状微生物表现出多样化的产品和复杂的形态.
- 最佳的机械应力对于这些生物体中的高产品度至关重要.
- 现有的模型缺乏珠子引起的应力和震动瓶中的工艺参数之间的明确联系.
研究的目的:
- 开发一种模型概念,用于摇动瓶培养中珠子诱导的应力.
- 通过使用宏观颗粒来确定Lentzea aerocolonigenes的最佳种植条件.
- 建立一个用于扩大微生物种植的预测工具.
主要方法:
- 振动瓶模拟进行了不同的珠子大小,度,密度和振动频率.
- 接触分析发现珠子底部接触是剪切应力的主要来源.
- 一个新的参数,应力面积比率 (SAR) 被定义和计算.
主要成果:
- 应力面积比率 (SAR) 与产品度和产量有效相关.
- 为了在Lentzea aerocolonigenes中增强产品形成,确定了最佳的SAR值.
- 高速记录验证了关于珠子运动的模拟结果.
结论:
- 开发的SAR模型是优化和扩展剪切敏感微生物种植的宝贵工具.
- 这种方法可以更好地预测和控制生物反应器中的机械应力.
- 进一步应用SAR模型可以提高生物技术生产的效率.
相关概念视频
Yield Criteria for Ductile Materials under Plane Stress
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as the...
The Maximum Shearing Stress Criterion, also known as the...
Measurements of Strain
Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain gauge...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Typical Model Studies
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Bioreactor Controls-I
Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly monitored using...
Methods of Medium Optimization
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...

