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Related Concept Videos

Mass Analyzers: Overview01:13

Mass Analyzers: Overview

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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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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 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 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.
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Extraction: Advanced Methods00:56

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

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The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
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Automated Metadata Extraction from mzML Files with RunAssessor.

Marie Andken1, Clarissa Zheng1, Zhi Sun1

  • 1Institute for Systems Biology, Seattle, Washington 98109, United States.

Journal of Proteome Research
|April 16, 2026
PubMed
Summary
This summary is machine-generated.

RunAssessor automatically extracts crucial metadata from mass spectrometry data files, improving the reusability of proteomics datasets. This tool enhances data annotation reliability for large-scale analyses.

Keywords:
RunAssessorSDRFdata reprocessingmass spectrometryproteomics

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Science

Background:

  • Proteomics data reusability is hindered by insufficient metadata in public repositories.
  • Lack of reliable annotation limits large-scale reanalysis of proteomics datasets.
  • Manual metadata curation is time-consuming and prone to errors.

Purpose of the Study:

  • To develop a tool, RunAssessor, for systematic extraction of metadata from mass spectrometry data files.
  • To improve the reliability and accessibility of proteomics metadata for data reprocessing.
  • To facilitate the reuse of public proteomics data through automated annotation.

Main Methods:

  • RunAssessor systematically extracts sample preparation and instrument acquisition parameters directly from mass spectrometry data files.
  • The tool analyzes data files prior to peptide identification.
  • Metadata extraction was demonstrated using one complete dataset and test files from 18 additional datasets.

Main Results:

  • RunAssessor successfully extracted key metadata including instrument models, isobaric labels, phosphoenrichment, ion tolerances, and dynamic exclusion times.
  • Extracted metadata were stored in a comprehensive output file and summarized in a standard Sample and Data Relationship Format (SDRF) file.
  • The tool demonstrated its ability to reduce manual curation burden and enhance metadata reliability.

Conclusions:

  • RunAssessor effectively automates the extraction and summarization of essential proteomics metadata.
  • The tool significantly improves the quality and reliability of metadata, facilitating data reprocessing and reuse.
  • Automated metadata extraction by RunAssessor addresses a critical bottleneck in large-scale proteomics research.