The number of recognizable metabolites in biological fluids or tissues varies depending on the gas chromatography (GC) or liquid chromatography (LC) chromatography technology utilized. Moreover, coverage varies according to the metabolite group (polar, lipid, organic acid, etc.). It is possible to precisely and repeatedly examine hundreds to thousands of metabolites in biological fluids or tissue samples using the combination of chromatography and mass spectrometry.
Our company offers gas chromatography-mass spectrometry (GC-MS) untargeted metabolomics services that can be customized for your innovative scientific research. Each project needs to be evaluated individually before analytical solutions and costs are provided.
Service Overview
GC-MS technology is the primary analytical platform for Our company metabolomics studies as a highly sensitive and high throughput analytical platform focused on identifying metabolites with significant variation between experimental and control groups.
Our GC-MS untargeted metabolomics provides qualitative and quantitative analysis of unknown compounds in mixtures and can be used to determine the molecular structure and accurate molecular weight of compounds. For volatile components, the method allows direct qualitative and quantitative analysis. For non-volatile components and thermally unstable substances, appropriate derivatization can be performed prior to analysis.
Technical Advantages
- Mature and stable technology, high degree of separation, good selectivity.
- With a relatively complete database.
- Suitable for complex matrix analysis, providing comprehensive information in one analysis.
- Automatic peak identification, deconvolution, sample comparison and quality control.
It has the advantages of high sensitivity, good separation efficiency, durability, low cost, selective separation and detection of high throughput trace metabolites and isomers, and can be used for highly standardized applications of electron ionization (EI). It generates a wide range of ruptured fragments with high reproducibility and facilitates the construction of standardized databases, allowing more accurate and efficient characterization.
Fig.1 Untargeted metabolomics analysis using GC-MS. (Zeki O. C, et al. 2020)
Research Capabilities
| Standard Analysis | - Data quality control (PCA analysis of total samples).
- Qualitative and quantitative results from metabolites.
- Differential metabolite screening: PCA, PLS-DA downscaling, volcano plots.
- Differential metabolite analysis: Venn diagram, cluster heat map, metabolite correlation analysis, Z-score analysis, pathway analysis, ROC analysis.
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| Personalized Analysis | - Weighted gene co-expression network analysis.
- One-way ANOVA.
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| Multi-omics Analysis | - Transcriptome/protein shieldome and metabolome.
- Correlation analysis (Pearson, CCA).
- KEGG pathway association analysis.
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| Network Regulation Analysis | - Correlation analysis of microorganisms and metabolomes.
- Correlation analysis between different species and different metabolites.
- Scatter plot.
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Application Areas
(1) Clinical diagnosis and treatment
(2) Disease pathology research
(3) Phenotypic and physiological function studies
(4) Drug research
(5) Traditional Chinese medicine research
(6) Food science and nutrition research
(7) Animal husbandry and agroforestry research
(8) Environmental toxicology research
If you are looking for smarter, higher quality solutions that incorporate best practices, please feel free to contact us.
Reference
- Zeki O. C, et al. (2020). "Integration of GC-MS and LC-MS for Untargeted Metabolomics Profiling." Journal of Pharmaceutical and Biomedical Analysis. 190: 113509.
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It should be noted that our service is only used for research, not for clinical use.
