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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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Development of high throughput 96-blade solid phase microextraction-liquid chromatrography-mass spectrometry protocol
Fatemeh Mousavi1, Barbara Bojko1, Janusz Pawliszyn1
1Department of Chemistry, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada.
Analytica Chimica Acta
|September 22, 2015
Summary
This study developed a novel solid phase microextraction (SPME) method for comprehensive metabolomics analysis of Escherichia coli. The method efficiently extracts diverse metabolites, enabling detailed cellular metabolic mapping.
Area of Science:
- Metabolomics
- Analytical Chemistry
- Microbiology
Background:
- Metabolomics requires robust methods for quantitative and comprehensive metabolic mapping.
- Sample preparation significantly impacts untargeted metabolomic analysis.
- Current methods face challenges in simultaneously extracting diverse metabolites.
Purpose of the Study:
- To develop and apply novel solid phase microextraction (SPME) coating chemistries for simultaneous extraction of hydrophobic and hydrophilic metabolites.
- To evaluate different liquid chromatography-mass spectrometry (LC-MS) methods for analyzing extracted metabolites.
- To establish a comprehensive method for analyzing the metabolome of Escherichia coli.
Main Methods:
- Development of different SPME coating chemistries.
- Application of SPME for simultaneous extraction of a wide range of metabolites.
- Evaluation of three different LC-MS methods.
- Utilized a 96-blade SPME-LC-MS method for analysis.
Main Results:
- Successfully extracted and detected over 200 cellular metabolites from Escherichia coli.
- The method covered a wide range of hydrophobicities (log P from -7 to 15).
- Detected diverse metabolite classes including amino acids, lipids, carbohydrates, and nucleotides.
Conclusions:
- The developed SPME-LC-MS method enables comprehensive and simultaneous extraction of diverse metabolites.
- This approach significantly advances quantitative and comprehensive metabolic mapping in metabolomics.
- The method is effective for analyzing the stationary phase metabolome of E. coli.

