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相关概念视频

Induced-fit Model01:13

Induced-fit Model

Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical characteristics of...
Fermentation01:29

Fermentation

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...
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...
Bioreactor Controls-I01:28

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...
Bioreactor Controls-III01:22

Bioreactor Controls-III

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...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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相关实验视频

Updated: May 7, 2026

Expression of Recombinant Proteins in the Methylotrophic Yeast Pichia pastoris
09:46

Expression of Recombinant Proteins in the Methylotrophic Yeast Pichia pastoris

Published on: February 25, 2010

46.0K

基于亚结构域转移学习的Pichia pastoris发酵过程的软传感器建模方法

Bo Wang1, Jun Wei2, Le Zhang3

  • 1Key Laboratory of Agricultural Measurement and Control Technology and Equipment for Mechanical Industrial Facilities, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China.

BMC biotechnology
|December 19, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的软传感器建模方法,使用亚结构域转移来提高准确性. 该方法提高了Pichia pastoris和胰岛素酶度的预测,优于传统方法.

关键词:
这就是Pichia pastoris.软传感器是一种软传感器.亚结构域是一个子结构域.转移学习转移学习

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相关实验视频

Last Updated: May 7, 2026

Expression of Recombinant Proteins in the Methylotrophic Yeast Pichia pastoris
09:46

Expression of Recombinant Proteins in the Methylotrophic Yeast Pichia pastoris

Published on: February 25, 2010

46.0K
Methanol Independent Expression by Pichia Pastoris Employing De-repression Technologies
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Methanol Independent Expression by Pichia Pastoris Employing De-repression Technologies

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科学领域:

  • 生物技术是生物技术.
  • 化学工程是化学工程的重要组成部分.
  • 数据科学数据科学数据科学

背景情况:

  • 软传感器模型的传统转移学习方法经常遭受数据丢失和域不匹配,降低预测准确度.
  • 现有的方法难以完美调整源域和目标域,阻碍了有效的模型转移.

研究的目的:

  • 开发一种先进的软传感器建模方法,克服传统域级传输的局限性.
  • 通过使用亚结构域转移框架来提高软传感器模型的准确性和稳定性.

主要方法:

  • 使用高斯混合模型将源域和目标域集群为子结构域.
  • 根据域间距离对子结构域进行适应权重.
  • 采用最佳的子空间域适应来实现数据的空间对齐.
  • 使用最小平方支向量机来进行最终的模型预测.

主要成果:

  • 提出的方法显著减少了Pichia pastoris度 (48.7%的RMSE减少) 和胰岛素酶度 (54.9%的RMSE减少) 的预测错误.
  • 模拟结果证明了基结构域转移方法在Pichia pastoris发酵示例中的有效性.

结论:

  • 开发的软传感器模型可以在不同的工作条件下准确地预测Pichia pastoris和inulinase度.
  • 与传统的软传感器建模技术相比,这种新的方法提供了更高的预测准确性.