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Mass Spectrometry: Overview01:19

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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 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...
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Mass Spectrometry: Amine Fragmentation00:55

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Amines can be identified using mass spectroscopy based on their characteristic fragmentation patterns. The molecular ions of amines undergo fragmentation via ⍺-cleavage. The ⍺-cleavage of the carbon-carbon bonds in amines generates an alkyl radical and resonance-stabilized nitrogen-containing cation.
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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...
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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.
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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.
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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. 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...
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Analyzing Large Protein Complexes by Structural Mass Spectrometry
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Correlation and convolution analysis of peptide mass spectra.

Matthew J Sniatynski1, Jason C Rogalski, Michael D Hoffman

  • 1Biomedical Research Centre, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.

Analytical Chemistry
|April 18, 2006
PubMed
Summary

A novel mathematical correlation technique enhances proteomics data analysis by efficiently identifying mass shifts from modifications or labeling in mass spectrometry (MS) and MS/MS data.

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Area of Science:

  • Proteomics
  • Mass Spectrometry (MS) and MS/MS Data Analysis
  • Bioinformatics

Background:

  • Proteomics generates vast datasets requiring efficient analysis.
  • Current methods may not adequately address post-translational modifications, truncations, or mutations.
  • Need for robust, automated analysis techniques for mass spectrometry data.

Purpose of the Study:

  • To demonstrate a new, computationally efficient mathematical correlation technique for proteomics data.
  • To extend the technique for analyzing MS and MS/MS data, identifying specific mass shifts.
  • To enable visualization of ions contributing to mass shift signals for targeted discovery.

Main Methods:

  • Application of a mathematical correlation-based analysis technique.
  • Extension of the method to handle MS and MS/MS data.
  • Focus on identifying mass shift signals corresponding to neutral losses or stable isotope labeling.

Main Results:

  • The technique is computationally efficient and robust across different instruments and noise levels.
  • Successfully extracts mass shift signals, such as those from phosphorylated tyrosine (79.97 Th neutral loss).
  • Enables visualization of ions producing specific mass shifts, aiding in discovery and localization.

Conclusions:

  • The extended mathematical correlation method offers a powerful tool for targeted proteomics analysis.
  • Facilitates the discovery of modified or labeled peptides and localization of modification sites.
  • Improves the ability to eliminate overlapping fragment ion series in complex MS/MS data.