The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Advances in structure elucidation of small molecules using mass spectrometry
Open accessAbstract
The structural elucidation of small molecules using mass spectrometry plays an important role in modern life sciences and bioanalytical approaches. This review covers different soft and hard ionization techniques and figures of merit for modern mass spectrometers, such as mass resolving power, mass accuracy, isotopic abundance accuracy, accurate mass multiple-stage MS(n) capability, as well as hybrid mass spectrometric and orthogonal chromatographic approaches. The latter part discusses mass spectral data handling strategies, which includes background and noise subtraction, adduct formation and detection, charge state determination, accurate mass measurements, elemental composition determinations, and complex data-dependent setups with ion maps and ion trees. The importance of mass spectral library search algorithms for tandem mass spectra and multiple-stage MS(n) mass spectra as well as mass spectral tree libraries that combine multiple-stage mass spectra are outlined. The successive chapter discusses mass spectral fragmentation pathways, biotransformation reactions and drug metabolism studies, the mass spectral simulation and generation of in silico mass spectra, expert systems for mass spectral interpretation, and the use of computational chemistry to explain gas-phase phenomena. A single chapter discusses data handling for hyphenated approaches including mass spectral deconvolution for clean mass spectra, cheminformatics approaches and structure retention relationships, and retention index predictions for gas and liquid chromatography. The last section reviews the current state of electronic data sharing of mass spectra and discusses the importance of software development for the advancement of structure elucidation of small molecules. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12566-010-0015-9) contains supplementary material, which is available to authorized users.
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Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Elias, J. E., & Gygi, S. P. (2007) · Nature Methods · doi:10.1038/nmeth1019 · Cited by 3,925
Hawkins, D. M. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci0342472 · Cited by 2,522
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370
Kind, T., & Fiehn, O. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-105 · Cited by 1,201
Self-citationOptimization 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
Krauss, M., Singer, H., & Hollender, J. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3608-9 · Cited by 743 · cited 1×
“Structure elucidation of compounds from environmental samples [118, 389, 450, 513–516] is among the most complex cases of structure elucidation.”
BackgroundIn silico fragmentation for computer assisted identification of metabolite mass spectra
Wolf, S., Schmidt, S., Müller-Hannemann, M., & Neumann, S. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-148 · Cited by 698
Precision proteomics: The case for high resolution and high mass accuracy
Mann, M., & Kelleher, N. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800788105 · Cited by 450
Analytical and statistical approaches to metabolomics research
Issaq, H. J., Van, Q. N., Waybright, T. J., Muschik, G. M., & Veenstra, T. D. (2009) · Journal of Separation Science · doi:10.1002/jssc.200900152 · Cited by 227
Cited by
Current approaches and challenges for the metabolite profiling of complex natural extracts
Wolfender, J.-L., Marti, G., Thomas, A., & Bertrand, S. (2015) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.10.091 · Cited by 635
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics
Dunn, W. B., Erban, A., Weber, R. J. M., Creek, D. J., Brown, M., Breitling, R., Hankemeier, T., Goodacre, R., Neumann, S., Kopka, J., et al. (2013) · Metabolomics · doi:10.1007/s11306-012-0434-4 · Cited by 555
Advances in metabolite identification
Wishart, D. S. (2011) · Bioanalysis · doi:10.4155/bio.11.155 · Cited by 284
Hug, C., Ulrich, N., Schulze, T., Brack, W., & Krauss, M. (2014) · Environmental Pollution · doi:10.1016/j.envpol.2013.07.048 · Cited by 252
Draper, J., Lloyd, A. J., Goodacre, R., & Beckmann, M. (2013) · Metabolomics · doi:10.1007/s11306-012-0449-x · Cited by 144
Metadata
- Authors
- Kind, T., & Fiehn, O.
- Venue
- Bioanalytical Reviews
- Published
- 2010-08-21
- Volume
- 2
- Issue
- 1-4
- Pages
- 23-60
- ISSN
- 1867-2086 (ISSN-L)
- 1867-2094
- OpenAlex
- W2101257438
- Cited by
- 480
- References
- 14
- FWCI
- 15.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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