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相关概念视频

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

4.8K
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.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
4.8K
Mass Spectrometers01:16

Mass Spectrometers

5.5K
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:
5.5K
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

5.2K
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...
5.2K
Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

315
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.
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
315
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

770
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...
770
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

667
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...
667

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Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models
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技术说明: mzML 和 imzML 库用于使用高性能编程语言 Julia 处理质谱数据.

Ignacio Rosas-Román1, Héctor Guillén-Alonso2,3, Abigail Moreno-Pedraza4,5

  • 1Universidad de Guanajuato, División de Ciencias e Ingenierías, Loma del Bosque 103, Lomas del Campestre, 37150 León, Guanajuato, Mexico.

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概括

一个新的Julia库可以读取zML和imzML格式的质谱 (MS) 数据. 这大大加快了大规模MS-Omics和MS成像的数据处理速度,克服了以前的限制.

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科学领域:

  • 计算生物学 计算生物学
  • 数据科学数据科学数据科学
  • 分析化学 分析化学

背景情况:

  • 朱莉亚编程语言提供了高级可读性和低级性能.
  • 现有的Julia图书馆缺乏对导入质谱 (MS) 数据的支持.
  • 这为计算密集的MS数据分析造成了瓶.

研究的目的:

  • 开发一个 Julia 库来导入 HUPO 标准 mzML 和 imzML 格式的质谱数据.
  • 在各种MS技术和平台上展示图书馆的功能.
  • 提高大规模MS数据处理工作流程的效率.

主要方法:

  • 开发了一个 Julia 库,用于解析 mzML 和 imzML 文件格式.
  • 用直接/环境电离MS,液体染色体MS和MS成像数据测试了库.
  • 对 imzML MS 成像文件的处理速度与 R 的比较.

主要成果:

  • 朱莉亚图书馆成功地导入了 mzML 和 imzML 格式的 MS 数据.
  • 朱莉亚的imzML MS成像文件的处理速度是R的214倍.
  • 该库在Windows,Linux和Mac OS中运行.

结论:

  • 朱莉现在可以有效地处理大规模的质谱数据,包括MS-Omics和MS成像.
  • 该库消除了计算瓶,使实时监控和复杂模式识别成为可能.
  • 开发的库和代码在麻省理工学院许可证下提供,以便更广泛地采用.