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Related Concept Videos

Mass Spectrum01:23

Mass Spectrum

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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 elementary charge 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...
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Mass Spectrometers01:16

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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: Complex Analysis01:21

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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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High-Resolution Mass Spectrometry (HRMS)01:15

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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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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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Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a low-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.
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FragHub: A Mass Spectral Library Data Integration Workflow.

Axel Dablanc1,2, Solweig Hennechart1,2,3, Amélie Perez1,2

  • 1Laboratoire de Recherche en Sciences Végétales, Metatoul-AgromiX Platform, Université de Toulouse, CNRS, INP, 24 Chemin de Borde Rouge, Auzeville, Auzeville-Tolosane 31320, France.

Analytical Chemistry
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Summary

FragHub unifies diverse open mass spectral libraries (OMSLs) for improved metabolite annotation in untargeted metabolomics. This platform enhances data reliability and discovery potential by standardizing formats and harmonizing metadata.

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Area of Science:

  • Metabolomics
  • Bioinformatics
  • Computational Chemistry

Background:

  • Open mass spectral libraries (OMSLs) are crucial for metabolite annotation and machine learning in untargeted metabolomics.
  • Current OMSLs face limitations due to non-standardized formats, metadata, and ontologies, restricting their practical application.
  • Existing libraries are often specialized, potentially limiting the scope of untargeted metabolomic studies.

Purpose of the Study:

  • To develop FragHub, a unified platform for integrating diverse OMSLs.
  • To enhance metabolite annotation accuracy and reliability in untargeted metabolomic studies.
  • To provide tools for harmonizing metadata and generating compatible in-house libraries.

Main Methods:

  • Integration of multiple OMSLs into a single, comprehensive database.
  • Support for various data formats and harmonization of metadata.
  • Development of a graphical user interface for spectral filtering and a workflow for in-house library generation.

Main Results:

  • FragHub successfully integrates various OMSLs into a unified format.
  • The platform supports diverse data formats and harmonizes metadata for enhanced usability.
  • Dynamic segregation of libraries by ionization modes and chromatography techniques improves data utility.

Conclusions:

  • FragHub addresses key challenges in OMSL utilization, improving metabolite annotation.
  • The platform enhances the reliability and discovery potential of untargeted metabolomic research.
  • FragHub provides a valuable, publicly available resource for the metabolomics community.