Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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...
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...
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall. The coating...
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Analysis of microbiome high-dimensional experimental design data using generalized linear models and ANOVA simultaneous component analysis.

Frontiers in microbiomes·2026
Same author

ACMTF-R: Supervised multi-omics data integration uncovering shared and distinct outcome-associated variation.

PloS one·2026
Same author

GlycoGenius: a streamlined high-throughput glycan composition identification tool.

Nature communications·2025
Same author

Identification of Methylglyoxal Reactive Proteins with Photocaged Glycating Agents.

Chembiochem : a European journal of chemical biology·2025
Same author

Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.

Epigenetics & chromatin·2025
Same author

Pulmonary Microvascular Endothelial Cells Support Alveolar Epithelial Growth via Bone Morphogenetic Protein 6 Secretion.

American journal of respiratory cell and molecular biology·2025
Same journal

The ACS at 150: The History of Analytical Chemistry Publications and a Century of Progress.

Analytical chemistry·2026
Same journal

Machine Learning-Enabled Image Analysis of Complex Chemical Mixtures: Synthetic Urine Droplets as a Test System.

Analytical chemistry·2026
Same journal

H<sub>2</sub>O<sub>2</sub>/Viscosity Tandem-Locked Fluorescent Probes Based on an In Situ Fluorophore Synthesis Strategy for Colitis Imaging and Diagnosis.

Analytical chemistry·2026
Same journal

TopoStitcher: A Geometric-Topological Structure-Guided Stitching Framework for Single-Molecule Localization Microscopy.

Analytical chemistry·2026
Same journal

Noninvasive SERS Immunosensing of Tyrosinase for Melanoma Monitoring via Microneedle Sampling Integrated with Satellite-Structured Bifunctional Nanozymes.

Analytical chemistry·2026
Same journal

Label-Free Electrochemical CRISPR Platform Gated by Allosteric Transcription Factors for Ultrasensitive Small-Molecule Detection.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Optimized time alignment algorithm for LC-MS data: correlation optimized warping using component detection

Christin Christin1, Age K Smilde, Huub C J Hoefsloot

  • 1Analytical Biochemistry, Department of Pharmacy, University of Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands.

Analytical Chemistry
|August 22, 2008
PubMed
Summary
This summary is machine-generated.

Correlation Optimized Warping with Component Detection (COW-CODA) improves LC-MS data alignment for complex biological samples. This new method, COW-CODA, is superior to the standard COW-TIC for biomarker discovery in bodily fluids.

More Related Videos

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Related Experiment Videos

Last Updated: Jul 2, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Proteomics

Background:

  • Correlation Optimized Warping based on Total Ion Current (COW-TIC) is a standard algorithm for time-aligning chromatograms.
  • COW-TIC is effective for simple samples but struggles with complex mixtures like those in biomarker discovery.
  • Complex biological samples often contain thousands of compounds with overlapping peaks, challenging existing alignment methods.

Purpose of the Study:

  • To develop and evaluate a novel algorithm, COW-CODA, for improved time alignment of complex liquid chromatography-mass spectrometry (LC-MS) data.
  • To address the limitations of COW-TIC in handling numerous overlapping peaks in biological samples.
  • To enhance accuracy in peak matching for biomarker discovery in complex matrices.

Main Methods:

  • Combined Correlation Optimized Warping (COW) with a Component Detection algorithm (CODA) to create COW-CODA.
  • CODA was used as a variable selection procedure to identify high-quality mass chromatograms (low noise, low background).
  • Evaluated COW-CODA on diverse LC-MS datasets: digested serum from cancer patients, serum with preanalytical variations, and urine from pregnant/nonpregnant women.

Main Results:

  • COW-CODA demonstrated superior performance compared to COW-TIC in aligning complex LC-MS chromatograms.
  • The algorithm showed particular effectiveness with highly variable datasets, such as those from factorial design studies and urine samples.
  • Minor misalignments occurred in rare instances with COW-CODA, but overall accuracy and peak matching were significantly improved.

Conclusions:

  • The COW-CODA algorithm provides accurate automatic time alignment and peak matching for multiple LC-MS datasets from complex biological fluids.
  • This method is highly suitable for biomarker discovery applications, overcoming limitations of previous alignment techniques.
  • COW-CODA enhances the reliability of analyzing complex samples like serum and urine in LC-MS-based research.