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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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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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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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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
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A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x-axis represents the ratio of the mass of the charged fragment to the number of charges it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal (the...
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Bar Coding MS(2) Spectra for Metabolite Identification.

Jonathan L Spalding1,2, Kevin Cho1,3, Nathaniel G Mahieu1,3

  • 1Department of Chemistry, Washington University in St. Louis , St. Louis, Missouri 63130, United States.

Analytical Chemistry
|February 4, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel binary coding method for metabolite identification using mass spectrometry. This approach enhances untargeted metabolomics capabilities on more accessible triple quadrupole instruments.

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Area of Science:

  • Metabolomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Metabolite identification typically relies on matching high-resolution mass spectrometry (MS) spectra to databases.
  • This method is often limited by the need for expensive, high-resolution instruments.

Discussion:

  • A new approach uses binary codes derived from metabolite fragmentation patterns.
  • Selected mass-to-charge regions (bins) are coded as 1s (fragment present) or 0s (fragment absent).
  • This binary system effectively distinguishes compounds, with 20 bins identifying 96% of METLIN library compounds.

Key Insights:

  • The binary coding method enables metabolite identification using low-resolution triple quadrupole (QqQ) mass spectrometers.
  • QqQ instruments are more affordable and robust, expanding access to untargeted metabolomics.
  • A specific data acquisition method on QqQ instruments generates diagnostic 'bar codes' for metabolite matching.

Outlook:

  • This technique offers MS(2)-based identifications with specificity and sensitivity competitive with high-resolution technologies.
  • It democratizes advanced metabolomic analysis by leveraging widely available QqQ instruments.
  • Future applications may include broader adoption in clinical and research settings for metabolite discovery.