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相关概念视频

Mass Spectrometry: Molecular Fragmentation Overview01:20

Mass Spectrometry: Molecular Fragmentation Overview

5.4K
The ionization of a molecule into a molecular ion inside the mass spectrometer causes instability in the molecule's structure due to the loss of an electron. This eventually leads to the fragmentation or breaking of some bonds in the molecule. The fragmentation occurs predominantly at specific bonds to yield relatively stable fragments.
One type of fragmentation pattern is the cleavage of a single bond in the molecular ion. The cleavage leads to a radical and a cation. The cleavage can occur at...
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Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.3K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
2.3K
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

8.1K
Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
8.1K
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

2.6K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
2.6K
Mass Spectrometry: Carboxylic Acid, Ester, and Amide Fragmentation01:01

Mass Spectrometry: Carboxylic Acid, Ester, and Amide Fragmentation

2.4K
The fragmentation patterns observed for compounds such as carboxylic acids, esters, and amides in the mass spectra include ⍺-cleavage and McLafferty rearrangement. Fragmentation by ⍺-cleavage preferentially occurs at the carbon-carbon bond at the ⍺-position next to the carboxylic group to generate a neutral radical and a cation. Long chain compounds with hydrogen at their γ-carbon undergo McLafferty rearrangement to give a radical cation and a neutral alkene.
For example, the...
2.4K
Mass Spectrometry: Amine Fragmentation00:55

Mass Spectrometry: Amine Fragmentation

2.2K
Amines can be identified using mass spectroscopy based on their characteristic fragmentation patterns. The molecular ions of amines undergo fragmentation via ⍺-cleavage. The ⍺-cleavage of the carbon-carbon bonds in amines generates an alkyl radical and resonance-stabilized nitrogen-containing cation.
In amines, the number of nitrogen atoms affects the mass of the molecular ion, which is described by the nitrogen rule of mass spectrometry. This rule states that a compound containing a single...
2.2K

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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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ForMileS:一个Python开源程序,用于生成联质谱碎片离子分子结构.

Vinicius Kuchenbecker1, Nelson H Morgon1

  • 1Chemistry Institute, Universidade Estadual de Campina (UNICAMP), Sorocaba 18087-101, São Paulo, Brazil.

ACS omega
|November 10, 2025
PubMed
概括

本研究介绍了ForMileS,这是一个Python工具,用于预测串联质谱中的碎片离子结构. 它有助于通过生成可信的结构来理解碰撞诱导的解离,尽管目前仅限于较小的分子.

科学领域:

  • 分析化学 分析化学
  • 计算化学计算化学

背景情况:

  • 双重质谱 (MS/MS) 在化学中至关重要,但像碰撞诱导解离 (CID) 这样的碎片化机制尚未完全理解.
  • 预测碎片离子结构,同时保持前体离子特征是MS/MS数据分析的一个重大挑战.

研究的目的:

  • 介绍ForMileS (Formation of Mass SMILES),这是一个开源的Python工作流,用于从MS/MS数据中生成碎片离子结构.
  • 提供一个包含前体特异性约束的工具,并有助于理解碎片化途径.

主要方法:

  • 开发了一个精简的Python工作流程,利用一个简化的分支和边界算法.
  • 输入包括分子公式,电荷状态,精确质量,基分子支架 (SMILES),以及分支,周期性和键类型的参数.
  • 应用密度函数理论 (DFT) 进行相对能量计算,以验证生成的结构.

主要成果:

  • 在聚烯糖醇八合体 (PPG8) 碎片上展示了ForMileS,显示了基分子支架的重要性.
  • 对于二甘二甲基乙醇 (DGDE) 碎片,确定线性双键和循环结构是合理的,线性结构在能量方面受到青.
  • 通过DFT.确认了预期结构的存在,并通过DFT.确定了最低能耗对象.

结论:

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  • ForMileS成功地为MS/MS分析生成了可信的碎片离子结构.
  • 目前的局限性包括组合电荷生成和未精炼的算法,限制应用到小分子 (例如,C6O3H19).
  • 未来的工作应该专注于使用启发式和能量过器的优化,以提高性能和适用性.