The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Liquid chromatography/atmospheric pressure ionization–mass spectrometry in drug metabolism studies
Open accessAbstract
The study of the metabolic fate of drugs is an essential and important part of the drug development process. The analysis of metabolites is a challenging task and several different analytical methods have been used in these studies. However, after the introduction of the atmospheric pressure ionization (API) technique, electrospray and atmospheric pressure chemical ionization, liquid chromatography/mass spectrometry (LC/MS) has become an important and widely used method in the analysis of metabolites owing to its superior specificity, sensitivity and efficiency. In this paper the feasibility of LC/API‐MS techniques in the identification, structure characterization and quantitation of drug metabolites is reviewed. Sample preparation, LC techniques, isotope labeling, suitability of different MS techniques, such as tandem mass spectrometry, and high‐resolution MS in drug metabolite analysis, are summarized and discussed. Automation of data acquisition and interpretation, special techniques and possible future trends are also the topics of the review. Copyright © 2003 John Wiley & Sons, Ltd.
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Electrospray ion source. Another variation on the free-jet theme
Yamashita, M., & Fenn, J. B. (1984) · The Journal of Physical Chemistry · doi:10.1021/j150664a002 · Cited by 2,082
Dole, M., Mack, L. L., Hines, R. L., Mobley, R. C., Ferguson, L. D., & Alice, M. B. (1968) · The Journal of Chemical Physics · doi:10.1063/1.1670391 · Cited by 1,613
Pedersen-Bjergaard, S., & Rasmussen, K. E. (1999) · Analytical Chemistry · doi:10.1021/ac990055n · Cited by 1,245
Rendic, S., & Carlo, F. J. D. (1997) · Drug Metabolism Reviews · doi:10.3109/03602539709037591 · Cited by 949
Bonfiglio, R., King, R. C., Olah, T. V., & Merkle, K. (1999) · Rapid Communications in Mass Spectrometry · doi:10.1002/(sici)1097-0231(19990630)13:12<1175::aid-rcm639>3.0.co;2-0 · Cited by 939
Matuszewski, B. K., Constanzer, M. L., & Chavez-Eng, C. M. (1998) · Analytical Chemistry · doi:10.1021/ac971078+ · Cited by 880
Electrospray ionization mass spectrometry : fundamentals, instrumentation, and applications
Cole, R. B. (1997) · Wiley eBooks · Cited by 801
Robb, D. B., Covey, T. R., & Bruins, A. P. (2000) · Analytical Chemistry · doi:10.1021/ac0001636 · Cited by 748
Introduction to Drug Metabolism
Gibson, G. G., & Skett, P. (1994) · Springer eBooks · doi:10.1007/978-1-4899-6844-9 · Cited by 542
Managing the drug discovery/development interface
Kennedy, T. (1997) · Drug Discovery Today · doi:10.1016/s1359-6446(97)01099-4 · Cited by 522
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Anderson, L., & Hunter, C. L. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500331-mcp200 · Cited by 1,230
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Gallien, S., Duriez, E., Crone, C., Kellmann, M., Moehring, T., & Domon, B. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.019802 · Cited by 510
Tutorial review on validation of liquid chromatography–mass spectrometry methods: Part II
Kruve, A., Rebane, R., Kipper, K., Oldekop, M.-L., Evard, H., Herodes, K., Ravio, P., & Leito, I. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.02.016 · Cited by 338
Analytical strategies for identifying drug metabolites
Prakash, C., Shaffer, C. L., & Nedderman, A. (2007) · Mass Spectrometry Reviews · doi:10.1002/mas.20128 · Cited by 302
Hopfgartner, G., Varesio, E., Tschäppät, V., Grivet, C., Bourgogne, E., & Leuthold, L. A. (2004) · Journal of Mass Spectrometry · doi:10.1002/jms.659 · Cited by 287
Selected reaction monitoring applied to proteomics
Gallien, S., Duriez, E., & Domon, B. (2011) · Journal of Mass Spectrometry · doi:10.1002/jms.1895 · Cited by 286
Barnidge, D. R., Goodmanson, M. K., Klee, G. G., & Muddiman, D. C. (2004) · Journal of Proteome Research · doi:10.1021/pr049963d · Cited by 253
Guo, B., Chen, B., Liu, A., Zhu, W., & Yao, S. (2012) · Current Drug Metabolism · doi:10.2174/138920012803341401 · Cited by 80
Metadata
- Authors
- Kostiainen, R., Kotiaho, T., Kuuranne, T., & Auriola, S.
- Venue
- Journal of Mass Spectrometry
- Publisher
- Wiley
- Published
- 2003-04
- Volume
- 38
- Issue
- 4
- Pages
- 357-372
- ISSN
- 1076-5174 (ISSN-L)
- 1096-9888
- OpenAlex
- W2053936196
- Cited by
- 349
- References
- 43
- FWCI
- 10.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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