Impact of matrix effects and ionization efficiency in non-quantitative untargeted metabolomics
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Link
http://link.springer.com/content/pdf/10.1007/s11306-019-1597-z.pdf
Reference24 articles.
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3. Chamberlain, C. A., Hatch, M., & Garrett, T. J. (2019). Metabolomic and lipidomic characterization of Oxalobacter formigenes strains HC1 and OxWR by UHPLC-HRMS. Analytical and Bioanalytical Chemistry. https://doi.org/10.1007/s00216-019-01639-y .
4. Du, J., Yuan, Z., Ma, Z., Song, J., Xie, X., & Chen, Y. (2014). KEGG-PATH: Kyoto encyclopedia of genes and genomes-based pathway analysis using a path analysis model. Molecular BioSystems, 10(9), 2441–2447. https://doi.org/10.1039/c4mb00287c .
5. Dunn, W., Broadhurst, D., Atherton, H., Goodacre, R., & Griffin, J. (2011). Systems level studies of mammalian metabolomes: The roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chemical Society Reviews, 40(1), 387–426. https://doi.org/10.1039/b906712b .
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