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Related Concept Videos

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...
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...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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 13, 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

Wavelet-based adaptive denoising and baseline correction for MALDI TOF MS.

Hyunjin Shin1, Mehul P Sampat, John M Koomen

  • 1Dana-Farber Cancer Institute/Harvard School of Public Health, Department of Biostatistics and Computational Biology/Department of Biostatistics, Boston, Massachusetts, USA.

Omics : a Journal of Integrative Biology
|May 12, 2010
PubMed
Summary
This summary is machine-generated.

New wavelet methods effectively reduce chemical noise in mass spectrometry data. These advanced techniques improve biomarker identification from serum/plasma by preserving important spectral features.

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

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Last Updated: Jun 13, 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

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery
13:00

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

Published on: April 17, 2012

Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF MS) is crucial for biomarker identification in human serum/plasma.
  • Spectra noise, particularly chemical noise from matrix interference, complicates accurate analysis.
  • Existing denoising methods often fail to fully address the nonstationary and nonwhite characteristics of chemical noise.

Purpose of the Study:

  • To develop novel wavelet-based algorithms for high-frequency noise reduction and baseline correction in MALDI TOF MS.
  • To enhance the accuracy of biomarker discovery by effectively removing chemical noise artifacts.
  • To improve upon existing denoising techniques by considering the specific nature of chemical noise.

Main Methods:

  • Utilized discrete stationary wavelet transform for noise reduction and baseline correction.
  • Developed an adaptive algorithm to estimate time-varying thresholds for high-frequency noise removal across different frequency subbands.
  • Implemented a baseline correction algorithm based on the highest approximation in the wavelet domain.

Main Results:

  • The proposed algorithms effectively removed artifacts caused by chemical noise in mass spectra.
  • Informative spectral features were preserved, unlike with conventional denoising methods.
  • Demonstrated superior performance in noise reduction and baseline correction compared to existing techniques.

Conclusions:

  • The new wavelet-based methods offer a significant improvement for processing MALDI TOF MS data.
  • These algorithms enhance the reliability of biomarker identification by mitigating chemical noise.
  • The study provides advanced tools for accurate proteomic profiling using mass spectrometry.