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Related Concept Videos

Mass Analyzers: Overview01:13

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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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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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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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The MARK-AGE extended database: data integration and pre-processing.

J Baur1, T Kötter2, M Moreno-Villanueva1

  • 1Chair of Molecular Toxicology, University of Konstanz, 78457 Konstanz, Germany.

Mechanisms of Ageing and Development
|May 26, 2015
PubMed
Summary
This summary is machine-generated.

The MARK-AGE study created an integrated database from large-scale human subject data. Pre-processing ensured data quality for reliable analysis and mathematical modeling in population studies.

Keywords:
Data entryData extractionData integrationData processingDatabaseKNIME

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Area of Science:

  • Gerontology and Population Health
  • Bioinformatics and Data Science

Background:

  • The MARK-AGE project collected extensive bioanalytical and anthropometric data from a large European population.
  • Integrating diverse data sources was crucial for advanced data analysis and mathematical modeling.

Purpose of the Study:

  • To present the pre-processing steps for the MARK-AGE Extended Database.
  • To ensure high data quality and reliability for downstream research.

Main Methods:

  • Data checking, transformation, and documentation were performed on collected bioanalytical and anthropometric data.
  • Integration of various data sources into a unified database.
  • Identification and resolution of obstacles encountered during data pre-processing.

Main Results:

  • A high-quality, reliable, and integrated MARK-AGE Extended Database was successfully constructed.
  • Documented pre-processing methodologies and encountered challenges.

Conclusions:

  • Effective data pre-processing is essential for the success of large-scale population studies.
  • The MARK-AGE Extended Database provides a robust foundation for future research in aging and health.