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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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...
Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI is an ionization technique, widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix...
Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

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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Related Experiment Video

Updated: Jul 14, 2026

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

Processing MALDI Mass Spectra to Improve Mass Spectral Direct Tissue Analysis.

Jeremy L Norris1, Dale S Cornett, James A Mobley

  • 1Protein Discovery, Inc., 418 S. Gay Street-Suite 203, Knoxville, TN 37902, United States.

International Journal of Mass Spectrometry
|June 2, 2007
PubMed
Summary

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry offers powerful disease diagnostics. This study presents an optimized data processing workflow to improve MALDI mass spectrometry analysis for clinical applications.

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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)
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Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)

Published on: March 24, 2016

Related Experiment Videos

Last Updated: Jul 14, 2026

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)
10:47

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization (IR-MALDESI)

Published on: March 24, 2016

Area of Science:

  • Analytical Chemistry
  • Biomedical Mass Spectrometry
  • Computational Biology

Background:

  • Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry is a high-throughput technique for analyzing biological specimens.
  • Its potential for disease diagnosis and understanding is significant, but requires improved data processing and analysis methods.
  • Current data analysis approaches for MALDI mass spectrometry need refinement for clinical translation.

Purpose of the Study:

  • To evaluate existing data processing tools for MALDI mass spectrometry, including baseline subtraction, normalization, alignment, and noise reduction.
  • To present a preferred, easily implementable workflow for analyzing MALDI data, particularly for ASCII formatted files.
  • To discuss the benefits of the proposed workflow for both molecular profiling and imaging mass spectrometry applications.

Main Methods:

  • Comparative analysis of various established algorithms for MALDI mass spectrometry data preprocessing.
  • Development and validation of a streamlined data processing pipeline.
  • Application of the workflow to datasets for molecular profiling and imaging mass spectrometry.

Main Results:

  • Identification of advantages and limitations of different MALDI data processing techniques.
  • Demonstration of a robust and efficient workflow for baseline subtraction, normalization, alignment, and noise removal.
  • Successful application of the workflow to enhance data quality for both profiling and imaging applications.

Conclusions:

  • The presented data processing workflow significantly improves the analysis of MALDI mass spectrometry data.
  • This optimized approach facilitates the clinical application of MALDI mass spectrometry for disease diagnosis.
  • The workflow is versatile, offering benefits for both molecular profiling and imaging mass spectrometry.