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相关概念视频

Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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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...
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High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
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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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Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

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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...
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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.5K
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 Spectrum01:23

Mass Spectrum

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A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x axis represents the ratio of the mass of the charged fragment to the elementary charge it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal...
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在大气质谱测量中的数据驱动化合物识别.

Hilda Sandström1, Matti Rissanen2,3, Juho Rousu4

  • 1Department of Applied Physics, Aalto University, P.O. Box 11000, FI-00076, Aalto, Espoo, Finland.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|December 14, 2023
PubMed
概括

数据驱动的方法可以改善大气质谱中的化合物识别,解决气候和空气质量研究分析大型数据集的瓶. 这种方法对于推进大气科学至关重要.

关键词:
气溶喷雾剂是一种喷雾剂.我们的数据库数据库数据库数据库.机器学习是机器学习.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量开放科学是一个开放的科学.

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科学领域:

  • 大气化学 大气化学
  • 环境科学 环境科学
  • 分析化学 分析化学

背景情况:

  • 大气中的气溶颗粒显著影响气候和空气质量.
  • 了解气溶的形成和化学成分对于减缓策略至关重要.
  • 质谱法是跟踪大气化合物的关键技术.

研究的目的:

  • 审查大气质谱学中数据驱动化合物识别的现状.
  • 讨论大气科学数据分析的挑战和未来方向.
  • 突出需要先进的计算工具来处理大质谱数据集.

主要方法:

  • 对数据驱动化合物识别技术的现有文献的审查.
  • 分析当前质谱数据分析工作流程中的挑战.
  • 探索计算方法在大气化学中的潜在应用.

主要成果:

  • 化合物识别是分析大气测量的质谱数据的一个主要瓶.
  • 在大气科学中,用于化合物识别的数据驱动方法尚未得到充分发展.
  • 目前的质谱仪产生大量的数据,需要先进的分析工具.

结论:

  • 需要数据驱动的方法来加强大气质谱中的化合物识别.
  • 开发新的分析工具和参考库对于大气科学数字化进步至关重要.
  • 采用数据驱动策略将加速我们对大气过程及其影响的理解.