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Related Concept Videos

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 soft-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.To...
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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 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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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 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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Mass Spectrometers01:16

Mass Spectrometers

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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

Mass Spectrometry: Complex Analysis

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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.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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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spectrum_utils: A Python Package for Mass Spectrometry Data Processing and Visualization.

Wout Bittremieux1,2,3

  • 1Skaggs School of Pharmacy and Pharmaceutical Sciences , University of California San Diego , La Jolla , California 92093 , United States.

Analytical Chemistry
|December 7, 2019
PubMed
Summary
This summary is machine-generated.

spectrum_utils is a new Python package that simplifies mass spectrometry data analysis. It provides efficient tools for processing and visualizing spectral data, accelerating bioinformatics research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Mass Spectrometry

Background:

  • Biological mass spectrometry experiments generate large datasets requiring custom bioinformatics analysis.
  • Common tasks include reading, processing, and visualizing mass spectral data.
  • Reimplementing these basic functionalities is time-consuming and inefficient.

Purpose of the Study:

  • To introduce spectrum_utils, a Python package designed to streamline mass spectrometry data analysis.
  • To provide efficient and user-friendly tools for data processing and visualization.
  • To facilitate rapid prototyping of computational mass spectrometry projects.

Main Methods:

  • Developed spectrum_utils as a Python package utilizing Python 3.6+.
  • Implemented highly optimized algorithms for efficient processing of large spectral datasets.
  • Integrated high-level functions for generating publication-quality figures and interactive web plots.

Main Results:

  • spectrum_utils enables rapid development of bioinformatics scripts with minimal code.
  • The package offers computationally efficient data processing capabilities.
  • It facilitates the creation of both static and interactive visualizations for mass spectrometry data.

Conclusions:

  • spectrum_utils provides a valuable resource for researchers in computational mass spectrometry.
  • The package accelerates data analysis and visualization, improving research efficiency.
  • It is freely available as open-source software with comprehensive documentation.