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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...

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Related Experiment Video

Updated: May 28, 2026

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

LC-MS-based metabolomics.

Bin Zhou1, Jun Feng Xiao, Leepika Tuli

  • 1Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.

Molecular Biosystems
|November 2, 2011
PubMed
Summary
This summary is machine-generated.

This review outlines a typical workflow for metabolomic studies using liquid chromatography-mass spectrometry (LC-MS). It details challenges and solutions for metabolite identification and quantitation in biological and environmental research.

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Related Experiment Videos

Last Updated: May 28, 2026

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

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Area of Science:

  • Metabolomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Metabolomics studies the identification and quantitation of small molecules in metabolic pathways.
  • Liquid Chromatography-Mass Spectrometry (LC-MS) is a popular platform for metabolomic studies due to its speed, soft ionization, and broad metabolite coverage.
  • Successful metabolomic studies rely on a series of experimental, analytical, and computational steps.

Purpose of the Study:

  • To present a comprehensive workflow for LC-MS-based metabolomic analysis.
  • To review challenges and current solutions at each stage of the metabolomic workflow.
  • To guide researchers in selecting appropriate methods for their metabolomic investigations.

Main Methods:

  • Review of a typical LC-MS-based metabolomic analysis workflow.
  • Discussion of experimental design considerations.
  • Examination of analytical and computational strategies for metabolite identification and quantitation.

Main Results:

  • Detailed description of a standard LC-MS metabolomic workflow.
  • Identification of key challenges in sample preparation, data acquisition, and data analysis.
  • Presentation of current solutions and best practices for overcoming these challenges.

Conclusions:

  • Effective metabolomic studies require careful optimization of each workflow step.
  • Understanding the challenges in LC-MS-based metabolomics is crucial for accurate metabolite identification and quantitation.
  • This review provides a framework for researchers to navigate the complexities of metabolomic analysis.