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相关概念视频

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. 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 collision-induced...
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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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 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...
726
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

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

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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...
650
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

599
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...
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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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相关实验视频

Updated: Jun 9, 2025

Sample Preparation Strategies for Mass Spectrometry Imaging of 3D Cell Culture Models
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处理下一代质谱成像数据:大规模主要组件分析.

Kasper Krijnen1, Paul Blenkinsopp2, Ron M A Heeren1

  • 1The Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Maastricht 6229 ER, The Netherlands.

Journal of the American Society for Mass Spectrometry
|October 28, 2024
PubMed
概括
此摘要是机器生成的。

增量主要组件分析 (IPCA) 为分析超出随机访问内存 (RAM) 的大质谱成像数据集提供了解决方案. 这项研究证明了IPCA的IPCA.

关键词:
在这里,Python是Python.算法算法是一种算法.增量主要组件分析增量主要组件分析质谱仪成像成像 质谱仪成像成像主要组件分析的主要组件分析随机访问存储器随机访问存储器

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科学领域:

  • 分析化学 分析化学
  • 计算化学计算化学
  • 生物技术是生物技术.

背景情况:

  • 质谱成像 (MSI) 的进步增加了数据大小,需要高效的计算分析.
  • 传统的主要组件分析 (PCA) 算法需要大量的随机访问内存 (RAM),对于大型MSI数据集来说通常是不够的.
  • 现有的RAM高效的PCA方法通常是缓慢的或损害分析精度.

研究的目的:

  • 评估增量主要组件分析 (IPCA) 用于处理大质谱成像 (MSI) 数据.
  • 将IPCA与传统PCA和商业软件进行比较,以提高速度和内存效率.
  • 为了证明基于Python的IPCA算法对超过RAM容量的MSI数据集的适用性.

主要方法:

  • 实施和对各种IPCA和PCA算法的基准测试.
  • 测试大型和复杂的质谱成像数据集.
  • 与MSI数据分析的商业软件解决方案进行比较.

主要成果:

  • 一个基于Python的IPCA算法成功处理了太大而无法装入RAM的MSI数据集.
  • 与大型数据集上所有其他经过测试的PCA实现相比,IPCA显示出更高的速度.
  • IPCA 保持了分析精度,同时需要显著减少 RAM.

结论:

  • IPCA是分析大规模质谱成像数据的可行和高效替代方案.
  • 在不牺牲速度或精度的情况下,IPCA克服了传统PCA的内存限制.
  • 这种方法可以对越来越大的MSI数据集进行先进的计算分析.