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相关概念视频

Mass Spectrometers01:16

Mass Spectrometers

5.7K
This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
5.7K
Electrospray Ionization (ESI) Mass Spectrometry01:12

Electrospray Ionization (ESI) Mass Spectrometry

946
Higher molecular weight biomolecules are nonvolatile compounds that may decompose before ionizing or vaporizing during mass analysis with conventional electron impact ionization methods. Accordingly, electrospray ionization (ESI) is the favored method for vaporizing and ionizing biomolecules as it circumvents rapid fragmentation and enables the recording of mass signals for the entire biomolecule.
ESI utilizes electrical energy to transfer ions from the liquid phase of the sample into the...
946
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

5.4K
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 electrospray 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...
5.4K
Chemical Ionization (CI) Mass Spectrometry01:21

Chemical Ionization (CI) Mass Spectrometry

802
The molecular ion peak of a molecule in the mass spectrum provides vital information for molecular identification. However, conventional electron impact ionization can lead to the rapid dissociation of some molecular ions before they reach the detector. A milder ionization method is required to increase the lifetime of such ionized analyte molecules. Chemical ionization (CI) is a gas-phase protonation reaction useful for mass-analyzing analyte molecules that are easily protonated to yield the...
802
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

1.3K
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 low-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...
1.3K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

740
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
740

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相关实验视频

Updated: Jul 25, 2025

Analysis of Volatile and Oxidation Sensitive Compounds Using a Cold Inlet System and Electron Impact Mass Spectrometry
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电子电离的比较评估 质谱预测方法

Sriram Devata1,2, Henderson James Cleaves2,3, John Dimandja4

  • 1International Institute of Information Technology, Hyderabad 500 032, India.

Journal of the American Society for Mass Spectrometry
|June 30, 2023
PubMed
概括

他们比较了用于预测电子电离质谱的计算方法,包括量子化学 (QCEIMS) 和机器学习 (CFM-EI,NEIMS). 没有任何一种方法是普遍最好的,光谱距离函数会影响化合物识别性能.

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相关实验视频

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科学领域:

  • 计算化学的计算化学
  • 频谱学是一种光谱学.
  • 机器学习 机器学习

背景情况:

  • 电子电离质谱 (EI-MS) 对于化学识别至关重要.
  • 预测EI质谱的计算方法已经大大进步.
  • 关键的方法包括量子化学 (QCEIMS) 和机器学习 (CFM-EI,NEIMS).

研究的目的:

  • 为了比较QCEIMS,CFM-EI和NEIMS的光谱预测准确度.
  • 评估这些方法在化合物识别中的性能.
  • 分析光谱距离函数对识别成功的影响.

主要方法:

  • 对三个著名的计算EI质谱预测方法进行比较分析.
  • 对光谱预测准确性的评估.
  • 使用不同的光谱距离指标评估化合物识别性能.

主要成果:

  • 没有一个单一的计算方法 (QCEIMS,CFM-EI,NEIMS) 在所有评估的方面都表现出优异的性能.
  • 选择光谱距离函数显著影响化合物识别的成功率.
  • 性能因具体的数据集和评估标准而异.

结论:

  • 选择最佳的计算EI质谱预测方法取决于上下文.
  • 仔细考虑光谱距离函数对于使用计算方法准确识别化合物至关重要.
  • 需要进一步的研究来完善方法,并了解它们在各种化学空间中的局限性.