The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS
Open accessAbstract
An overview is presented of gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS), the two major hyphenated techniques employed in metabolic profiling that complement direct 'fingerprinting' methods such as atmospheric pressure ionization (API) quadrupole time-of-flight MS, API Fourier transform MS, and NMR. In GC/MS, the analytes are normally derivatized prior to analysis in order to reduce their polarity and facilitate chromatographic separation. The electron ionization mass spectra obtained are reproducible and suitable for library matching, mass spectral collections being readily available. In LC/MS, derivatization and library matching are at an early stage of development and mini-reviews are provided. Chemical derivatization can dramatically increase the sensitivity and specificity of LC/MS methods for less polar compounds and provides additional structural information. The potential of derivatization for metabolic profiling in LC/MS is demonstrated by the enhanced analysis of plant extracts, including the potential to measure volatile acids such as formic acid, difficult to achieve by GC/MS. The important role of mass spectral library creation and usage in these techniques is discussed and illustrated by examples.
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Citations
Cites
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683 · cited 1×
“The application of stable-isotope-labelled derivatives (Gygi et al., 1999) is having an enormous impact on protein analysis (isotope coded affinity tags, ICAT), a clear indication of the potential utility of chemical derivatization (tagging) in API MS. LC/MS: chromatographic retention data The use…”
BackgroundOptimization and testing of mass spectral library search algorithms for compound identification
Stein, S. E., & Scott, D. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)87009-8 · Cited by 882
Cited by
Kind, T., & Fiehn, O. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-105 · Cited by 1,201
Organization of GC/MS and LC/MS metabolomics data into chemical libraries
DeHaven, C. D., Evans, A. M., Dai, H., & Lawton, K. A. (2010) · Journal of Cheminformatics · doi:10.1186/1758-2946-2-9 · Cited by 601
Applications of multi‐omics analysis in human diseases
Chen, C., Wang, J., Pan, D., Wang, X., Xu, Y., Yan, J., Wang, L., Yang, X., Yang, M., & Liu, G. (2023) · MedComm · doi:10.1002/mco2.315 · Cited by 545
Salam, U., Ullah, S., Tang, Z.-H., Elateeq, A. A., Khan, Y., Khan, J., Khan, A., & Ali, S. (2023) · Life · doi:10.3390/life13030706 · Cited by 480
Bridgewater BR, E. A. (2014) · Journal of Postgenomics Drug & Biomarker Development · doi:10.4172/2153-0769.1000132 · Cited by 389
Metadata
- Authors
- Halket, J. M., Waterman, D., Przyborowska, A. M., Patel, R. K. P., Fraser, P. D., & Bramley, P. M.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-12-20
- Volume
- 56
- Issue
- 410
- Pages
- 219-243
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2141206344
- Cited by
- 662
- References
- 2
- FWCI
- 6.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Halket, J. M., Waterman, D., Przyborowska, A. M., Patel, R. K. P., Fraser, P. D., & Bramley, P. M. (2005). Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. Journal of Experimental Botany. https://doi.org/10.1093/jxb/eri069
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