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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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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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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 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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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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NMR Spectrometers: Overview01:20

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NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics.

Dmitry M Avtonomov1, Alexander Raskind1, Alexey I Nesvizhskii1

  • 1Department of Pathology, ‡BRCF Metabolomics Core, and §Department of Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan 48109, United States.

Journal of Proteome Research
|June 17, 2016
PubMed
Summary
This summary is machine-generated.

BatMass software offers fast visualization for quality control of liquid chromatography-mass spectrometry (LC-MS) data. This tool aids researchers in assessing raw data and processing results, improving the reliability of metabolomic and proteomic studies.

Keywords:
JavaLC−MSdata visualizationmass spectrometry

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Area of Science:

  • Analytical Chemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Liquid chromatography-mass spectrometry (LC-MS) is vital for metabolomics and proteomics.
  • Increasing experiment complexity challenges raw data and processing quality control.
  • Current quality control often relies on derived metrics, overlooking raw data assessment.

Purpose of the Study:

  • Introduce BatMass software for efficient LC-MS data quality control.
  • Provide a platform for developing and testing LC-MS data processing algorithms.
  • Facilitate visual assessment of raw LC-MS data and processing outcomes.

Main Methods:

  • Developed BatMass software package with fast visualization capabilities.
  • Integrated a data access library for open mass spectrometry file formats.
  • Enabled visual mapping of processing results to original LC-MS data.

Main Results:

  • BatMass enables rapid quality control of raw LC-MS data through visualization.
  • The software serves as a development testbed for LC-MS data processing algorithms.
  • Demonstrated utility through various quality control and data exploration use cases.

Conclusions:

  • BatMass enhances the quality control process for large-scale LC-MS experiments.
  • Visualizations improve the interpretation of raw data and processing results.
  • The software supports both experimentalists and algorithm developers in LC-MS research.