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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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 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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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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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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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 is an ionization technique, 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...
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Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

Filter diagonalization method-based mass spectrometry for molecular and macromolecular structure analysis.

Anton N Kozhinov1, Yury O Tsybin

  • 1Biomolecular Mass Spectrometry Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

Analytical Chemistry
|March 2, 2012
PubMed
Summary
This summary is machine-generated.

High-resolution mass spectrometry (MS) needs faster data acquisition. Filter diagonalization method (FDM) processing in ion cyclotron resonance (ICR) MS achieves this for complex samples, improving molecular structure analysis.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Biochemistry

Background:

  • High-resolution mass spectrometry (MS) is crucial for analyzing complex molecular and macromolecular structures in fields like health and energy.
  • Current MS techniques face limitations in data acquisition speed, hindering analysis of complex samples under time constraints.

Purpose of the Study:

  • To enhance the speed and resolution of data acquisition in high-resolution MS.
  • To develop and implement a novel signal processing method for ion cyclotron resonance (ICR) MS.

Main Methods:

  • Utilized the filter diagonalization method (FDM) for signal processing in ICR MS.
  • Compared FDM processing with traditional Fourier transform (FT) processing for transient signals.
  • Developed and applied a FDM-based MS (FDM MS) system.

Main Results:

  • FDM processing provides higher resolution for shorter experimental transient signals in ICR MS compared to FT processing.
  • The developed FDM MS system demonstrates effective implementation in ICR MS.
  • Achieved substantial increase in acquisition speed for high-resolution MS data.

Conclusions:

  • FDM-based signal processing significantly improves data acquisition speed and resolution in ICR MS.
  • FDM MS is a promising advancement for analyzing complex samples in proteomics, metabolomics, and petroleomics.
  • This method addresses the demand for faster, high-resolution MS analysis in critical research areas.