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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...
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...
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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...

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Related Experiment Video

Updated: Jun 24, 2026

MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups
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Published on: October 3, 2025

Characterising phase variations in MALDI-TOF data and correcting them by peak alignment.

Simon M Lin1, Richard P Haney, Michael J Campa

  • 1Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA. S-Lin2@northwestern.edu

Cancer Informatics
|March 24, 2009
PubMed
Summary

Matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometry proteomic profiling is affected by signal variability. A novel peak alignment algorithm effectively reduces this phase variation, improving data analysis and revealing biological features.

Keywords:
MALDI-TOFamplitudepeak alignmentphasevariation

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Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) Mass Spectrometry
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13:00

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery

Published on: April 17, 2012

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Proteomics

Background:

  • Matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) mass spectrometry is a key technique for proteomic analysis.
  • Variability in signal location (phase variation) along the x-axis is a significant limitation for MALDI-TOF data analysis.
  • Phase variation can account for a substantial portion of the total variance in MALDI-TOF measurements.

Purpose of the Study:

  • To investigate and quantify technical variations, specifically phase variation, in MALDI-TOF mass spectrometry for proteomics.
  • To develop and evaluate methods for detecting and correcting phase variation.
  • To demonstrate the impact of phase variation correction on the clarity of biological signals.

Main Methods:

  • Acquisition of a benchmark dataset with five replicates for variance estimation.
  • Development of a 'lobster plot' visualization tool to detect phase variation.
  • Application and evaluation of a peak alignment algorithm to correct phase variation.
  • Utilizing principal component analysis (PCA) to assess the reduction in variability among replicates post-alignment.
  • Comparison of peak alignment with a model-based calibration approach.

Main Results:

  • Phase variation was found to contribute 76% to 85% of the total variance in the studied MALDI-TOF measurements.
  • The 'lobster plot' effectively aids in visualizing phase variation.
  • Peak alignment significantly reduced the differences among replicates, as shown by PCA.
  • The peak alignment method proved effective in revealing features of biological interest.

Conclusions:

  • Phase variation is a critical technical challenge in MALDI-TOF proteomic profiling.
  • Peak alignment serves as an essential normalization step, analogous to microarray data analysis, for robust proteomic data interpretation.
  • Effective data processing, including peak alignment, is crucial for uncovering biologically relevant information from MALDI-TOF mass spectrometry data.