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Enhancing coverage in LC-MS-based untargeted metabolomics by a new sample preparation procedure using mixed-mode
Qian Wu1, Yamei Xu2, Hongchao Ji2
1College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, Hunan, China. qianwu@csu.edu.cn.
Analytical and Bioanalytical Chemistry
|August 16, 2019
Summary
A new sample preparation method enhances untargeted metabolomics by improving liquid chromatography-mass spectrometry detection limits and coverage for various metabolites, aiding in biomarker discovery for male infertility.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Metabolomics
Background:
- Untargeted metabolomics using liquid chromatography-electrospray ionization mass spectrometry (LC-ESI-MS) faces challenges in metabolome coverage.
- Limited coverage stems from weak signals of hydroxyl and carboxyl groups and LC separation limitations for diverse polarities.
Purpose of the Study:
- To develop a novel sample preparation procedure to enhance metabolome coverage in LC-MS-based untargeted metabolomics.
- To improve detection limits and identify a broader range of metabolites, including those with weak ESI signals.
Main Methods:
- Utilized mixed-mode solid-phase extraction to separate metabolites into hydrophilic amine, hydrophobic amine/alcohol, and organic acid groups.
- Employed pyridine derivatization for signal enhancement of alcohols and carboxylic acids.
- Analyzed hydrophilic amines using hydrophilic interaction LC-MS and hydrophobic compounds using C18 LC-MS.
Main Results:
- Achieved significantly lower detection limits for amino acids (3.3–70x) and fatty acids (65–1141x) compared to traditional methods.
- Detected cholesterol with a 125 ng mL⁻¹ detection limit, a significant improvement over the classic method.
- Identified 110 additional metabolites in seminal plasma samples, including 53 carboxylic acids and 21 alcohols unique to the new method.
Conclusions:
- The new sample preparation method substantially expands the metabolome coverage of LC-MS-based untargeted metabolomics.
- Demonstrated increased identification of hydrophilic amines, carboxylic acids, and alcohols.
- Showcased potential in identifying biomarkers for male infertility, with 46 potential biomarkers found compared to 19 by the classic method.
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