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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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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:
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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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OpenMS and TOPP: open source software for LC-MS data analysis.

Knut Reinert1, Oliver Kohlbacher

  • 1Department Computer Science and Mathematics, Free University of Berlin, Berlin, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

Automatic analysis of mass spectrometry data is crucial for large datasets. OpenMS and TOPP offer open-source software solutions for proteomics analysis, enabling efficient data evaluation and tool extension.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Proteomics

Background:

  • Manual analysis of large mass spectrometry datasets is infeasible.
  • Increasingly large datasets necessitate automated analysis tools.
  • Open-source software libraries are vital for advancing proteomics research.

Purpose of the Study:

  • To introduce OpenMS and The OpenMS Proteomics Pipeline (TOPP) for automated mass spectrometry data analysis.
  • To describe the architectural concepts and extensibility of the OpenMS/TOPP framework.
  • To demonstrate the utility of OpenMS and TOPP through practical examples in proteomics.

Main Methods:

  • Development of OpenMS, a C++ library for mass spectrometry data analysis algorithms.
  • Creation of TOPP, a collection of proteomics analysis tools built upon OpenMS.
  • Integration of OpenMS and TOPP to facilitate the addition of new analytical tools.

Main Results:

  • OpenMS provides a robust C++ library for rapid algorithm prototyping.
  • TOPP offers essential tools for common proteomics analysis tasks.
  • The coupled OpenMS and TOPP architecture allows for easy extension and customization.

Conclusions:

  • OpenMS and TOPP represent a powerful, extensible open-source solution for automated proteomics data analysis.
  • The software facilitates efficient handling of large-scale mass spectrometry datasets.
  • The described framework supports the advancement of computational proteomics research.