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

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...

You might also read

Related Articles

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

Sort by
Same author

Books and Software: Quantitative analysis made easy.

Analytical chemistry·2011
Same author

Sanitation in Porto Rico.

Public health papers and reports·2009
Same author

A review of repeat general anesthesia for pediatric dental surgery in Alberta, Canada.

Pediatric dentistry·2008
Same author

A review of tumor suppressor genes in cutaneous neoplasms with emphasis on cell cycle regulators.

The American Journal of dermatopathology·1998
Same author

Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA). Part 2: Application to human brain images.

Journal of magnetic resonance (San Diego, Calif. : 1997)·1998
Same author

Cutaneous aspergillosis.

Cutis·1997

Related Experiment Video

Updated: Jul 15, 2026

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
09:04

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

Chemometric analysis of complex hyphenated data. Improvements of the component detection algorithm.

W Windig1, W F Smith

  • 1Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, WA 98801, USA. windig@eigenvector.com

Journal of Chromatography. A
|April 10, 2007
PubMed
Summary

The Component Detection Algorithm (CODA) method for LC/MS data analysis has been improved to better handle mass chromatograms with baseline issues. This enhancement allows for more comprehensive data extraction, saving valuable operator time.

More Related Videos

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry
07:45

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry

Published on: April 3, 2026

Related Experiment Videos

Last Updated: Jul 15, 2026

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
09:04

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry
07:45

Technical Approach for Structural Analysis of an Unknown Compound in Huoxiang Zhengqi Oral Liquid based on Linear Ion Trap Mass Spectrometry

Published on: April 3, 2026

Area of Science:

  • Analytical Chemistry
  • Biochemistry

Background:

  • Complex liquid chromatography/electrospray ionization mass spectrometry (LC/MS) generates vast datasets requiring efficient analysis.
  • Existing component detection algorithms may overlook valuable data due to baseline interferences.

Purpose of the Study:

  • To enhance the Component Detection Algorithm (CODA) for improved performance with LC/MS data.
  • To increase the algorithm's tolerance for mass chromatograms exhibiting baseline problems.

Main Methods:

  • Development and implementation of novel algorithms to address baseline noise in mass chromatograms.
  • Testing and validation of modified CODA against standard LC/MS datasets with varying baseline complexities.

Main Results:

  • Successfully improved CODA's ability to extract high-quality mass chromatograms from datasets with baseline issues.
  • Demonstrated significant reduction in ignored data points caused by limited baseline problems.
  • Quantified time savings for operators due to more automated and robust data extraction.

Conclusions:

  • The enhanced CODA offers a more robust solution for processing complex LC/MS data.
  • Increased tolerance for baseline issues leads to more comprehensive and reliable mass chromatogram extraction.
  • This advancement significantly improves the efficiency of data analysis in mass spectrometry applications.