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相关概念视频

Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

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...
Mass Spectrum01:23

Mass Spectrum

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 number of charges 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 (the...
Mass Spectrometers01:16

Mass Spectrometers

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:
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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...
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then passed on to...

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相关实验视频

Updated: Jun 4, 2026

MALDI Imaging Mass Spectrometry of Neuropeptides in Parkinson's Disease
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pyOpenMS-viz:简化大质谱数据可视化与熊猫.

Justin Cyril Sing1,2, Joshua Charkow1,2, Axel Walter3,4

  • 1Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.

Journal of proteome research
|February 28, 2025
PubMed
概括

pyOpenMS-viz简化了Python中的质谱数据可视化. 该工具直接从pandas数据框架中生成基本图表,简化质谱工作流程的分析和质量控制.

关键词:
质谱测量质谱学Python 是一个 Python 语言.质量控制质量控制质量控制验证验证的时间视觉化的可视化

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科学领域:

  • 计算生物学 计算生物学
  • 分析化学 分析化学
  • 生物信息学是一种生物信息学.

背景情况:

  • 质谱 (MS) 数据可视化对于验证结果,基准测试算法和质量控制至关重要.
  • 现有的Python工具用于MS数据可视化可能是繁的,难以集成.

研究的目的:

  • 介绍pyOpenMS-viz,这是一个统一的框架,用于在Python中生成质谱图.
  • 为了简化和简化MS数据分析的可视化过程.

主要方法:

  • pyOpenMS-viz扩展了熊猫的数据框架绘图功能.
  • 它允许用单行代码生成共同的MS图表.
  • 该框架与现有的基于Python的MS工具无集成,这些工具使用pandas的DataFrames.

主要成果:

  • pyOpenMS-viz为MS数据可视化提供了一种多功能和统一的方法.
  • 它显著降低了在Python中生成MS图的复杂性.
  • 可轻松与其他Python MS分析工具集成.

结论:

  • pyOpenMS-viz提供了一个强大的解决方案,用于增强Python中的MS数据可视化.
  • 该框架促进了MS数据的更有效的分析,验证和质量控制.
  • 它是一个开源工具,可供科学界使用.