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相关概念视频

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
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Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI spectrometry is widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.
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Updated: Jul 11, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
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G-Aligner:一种基于图形的特征对齐方法,用于基于LC-MS的非目标代谢学.

Ruimin Wang1,2,3, Miaoshan Lu2,3,4, Shaowei An1,3,5

  • 1Fudan University, Shanghai, 200433, Shanghai, China.

BMC bioinformatics
|November 14, 2023
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概括

通过使用基于图形的方法,G-Aligner 改善了非目标LC-MS代谢组的特征匹配. 这种方法提高了在多次运行中对齐特征的准确性,以便更好地分析数据.

关键词:
组合优化的优化.功能对齐功能对齐在 LCMS 中使用.多维赋值问题多维赋值问题

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科学领域:

  • 分析化学 分析化学
  • 生物信息学是一种生物信息学.
  • 代谢学 代谢学 代谢学

背景情况:

  • 非定向液体色谱-质谱 (LC-MS) 对代谢学至关重要.
  • 在多个运行中对特征的调整对于分析强度变化至关重要.
  • 现有的方法往往优先考虑保留时间的纠正,而不是全面的特征匹配.

研究的目的:

  • 为非目标的LC-MS数据开发一种先进的特征对齐方法.
  • 为了提高多个分析运行中特征匹配的准确性.
  • 解决现有的特征对齐算法的局限性.

主要方法:

  • 提出了G-Aligner,一种基于图形的特征对齐方法.
  • 模拟特征匹配作为一个不平衡的多维赋值问题.
  • 使用了三种组合优化算法来实现最佳匹配.

主要成果:

  • 在三个公开的代谢学数据集上,G-Aligner表现出卓越的性能.
  • 在精确对齐的特征和分析品中达到高达9.8%的增长,26.6%.
  • 在集成时,提高了其他对齐软件的准确性.

结论:

  • G-Aligner显著提高了非目标代谢学LC-MS的特征匹配精度.
  • 基于图形的方法有效地解决了特征对应的多维赋值问题.
  • 对于分析复杂的代谢学数据,G-Aligner 已被证明是有效和强大的.