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相关概念视频

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

3.9K
Chromatography is an analytical technique widely used in fields such as chemistry, biology, environmental science, and pharmaceuticals to separate the components of a mixture and identify substances between them. The process of chromatography is based on the interactions between two distinct phases: the stationary phase and the mobile phase. The stationary phase is fixed in place by a supporting material, while the mobile phase moves over it, carrying the solutes. As the mobile phase travels,...
3.9K
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

3.9K
Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
3.9K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

1.3K
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
1.3K
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

2.3K
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Chromatographic Resolution01:15

Chromatographic Resolution

2.1K
In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
The effectiveness of separation can be evaluated by determining the level of separation between two neighboring peaks in a chromatogram, which represents the individual components of a sample.
In chromatography,...
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相关实验视频

Updated: Feb 3, 2026

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
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开发拉曼光谱和机器学习方法用于蛋白质聚合物的量化:在染色学过程中应用到BSA.

Jakob Heyer-Müller1, Robin Schiemer1, Lars Robbel2

  • 1Institute of Process Engineering in Life Sciences-Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 2, Karlsruhe, Baden-Württemberg, Germany.

Biotechnology and bioengineering
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PubMed
概括

使用机器学习的拉曼光谱在实时中准确量化蛋白质单体和聚合物. 这种先进的技术通过快速检测蛋白质聚合,提高产品质量和安全性来增强生物制药制造.

关键词:
拉曼光谱法 拉曼光谱法聚合方式 聚合方式 聚合方式化学测量方法 化学测量方法染色体学 染色体学 染色体学卷积神经网络是一种卷积神经网络.过程分析技术 技术分析结构标志物 结构标志物

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科学领域:

  • 生物制药制造业 生物制药制造业
  • 分析化学 分析化学
  • 过程分析技术 过程分析技术

背景情况:

  • 蛋白质聚合是影响生物制药产品质量,有效性和安全性的关键问题.
  • 传统的线下集成检测方法,如尺寸排除色谱,缺乏实时过程控制的速度.
  • 对于在制造过程中监测蛋白质单体和聚合物的直线分析技术有很大的需求.

研究的目的:

  • 开发和验证基于拉曼光谱的策略,用于选择性检测和蛋白质单体和聚合物的量化.
  • 通过实现生物制药过程的实时监控来解决传统方法的局限性.
  • 利用先进的化学测量方法来对蛋白质大小变异进行可靠的量化.

主要方法:

  • 拉曼光谱法用于分子特异性和快速数据采集.
  • 使用受控的压力条件来产生可重复的蛋白质聚合物 (牛血清白蛋白).
  • 拉丁式超立方体采样设计改变了蛋白质度和聚合分数,以隔离聚合效应.
  • 卷积神经网络 (CNN) 被用作数据分析的化学度机器学习方法.

主要成果:

  • 鉴定出表明蛋白质聚合的光谱标记物.
  • 与传统方法相比,CNN在量化单体和聚合物方面表现出卓越的预测性能和稳定性.
  • 开发的方法实现了蛋白质大小变异的可靠,实时监测.
  • 定性比较与离线尺寸排除色谱验证的光谱标记物发现.

结论:

  • 拉曼光谱,加上先进的化学测量建模 (特别是CNN),提供了一种可靠的实时监测蛋白质聚合的方法.
  • 这种方法显著提高了生物制药下游过程控制和稳定性.
  • 这些发现支持拉曼光谱作为生物制药制造质量控制的过程分析技术 (PAT) 的应用.