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Tandem Mass Spectrometry
Abstract
Coupling mass spectrometers in series provides a new technique that has many advantages for the analysis of specific organic compounds in complex mixtures. Sensitivity to picograms of targeted compounds can be achieved with high specificity and nearly instantaneous response. The targeted compound is selectively ionized, and its characteristic ions are separated from most others of the mixture in the first mass spectrometer. The selected primary ions are then decomposed by collision, and from the resulting products the final mass analyzer selects secondary ions characteristic of the targeted compound. Tandem mass spectrometry can achieve specificities and sensitivities equivalent to those of methods such as radioimmunoassay and gas chromatography/mass spectrometry, while performing analyses in much shorter times.
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Citations
Cited by
Advancing pharmaceutical research: A comprehensive review of cutting-edge tools and technologies
Chen, J., Lin, A., & Luo, P. (2024) · Current Pharmaceutical Analysis · doi:10.1016/j.cpan.2024.11.001 · Cited by 112
Kobayashi, J., Tsuda, M., Nakamura, T., Mikami, Y., & Shigemori, H. (1993) · Tetrahedron · doi:10.1016/s0040-4020(01)86318-3 · Cited by 74
Mass-resolved electronic circular dichroism ion spectroscopy
Daly, S., Rosu, F., & Gabelica, V. (2020) · Science · doi:10.1126/science.abb1822 · Cited by 68
Metadata
- Authors
- McLafferty, F. W.
- Venue
- Science
- Published
- 1981-10-16
- Volume
- 214
- Issue
- 4518
- Pages
- 280-287
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4295009278
- Cited by
- 384
- References
- 0
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Tandem Mass Spectrometry. https://app.cochat.ai/papers/10.1126/science.7280693
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- McLafferty, F. W. (1981). Tandem Mass Spectrometry. Science. https://doi.org/10.1126/science.7280693
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
