The DOI matches its Crossref record.
High-Performance Liquid Chromatography-Mass Spectrometry
Abstract
Techniques for on-line coupling of high-performance liquid chromatography with mass spectrometry are reviewed with particular emphasis on those suitable for application to nonvolatile samples. The present status of various techniques is summarized and the strengths and weaknesses of the various approaches are assessed. The potential for future application of recently developed techniques for combined liquid chromatography and mass spectrometry is discussed.
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Citations
Cited by
Liquid chromatography/mass spectrometry
Covey, T. R., Lee, E. D., Bruins, A. P., & Henion, J. D. (1986) · Analytical Chemistry · doi:10.1021/ac00127a001 · Cited by 469
Covey, T. R., Huang, E. C., & Henion, J. D. (1991) · Analytical Chemistry · doi:10.1021/ac00013a003 · Cited by 446
Gu, L., Kelm, M. A., Hammerstone, J. F., Zhang, Z., Beecher, G., Holden, J., Haytowitz, D., & Prior, R. L. (2003) · Journal of Mass Spectrometry · doi:10.1002/jms.541 · Cited by 278
Jian, C., Boyan, J., Ying, Z., & Zhenyu, W. (2021) · Journal of Applied Spectroscopy · doi:10.1007/s10812-021-01161-z · Cited by 10
Metadata
- Authors
- Vestal, M. L.
- Venue
- Science
- Published
- 1984-10-19
- Volume
- 226
- Issue
- 4672
- Pages
- 275-281
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2071961611
- Cited by
- 180
- References
- 0
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: High-Performance Liquid Chromatography-Mass Spectrometry. https://app.cochat.ai/papers/10.1126/science.6385251
- The paper
- Vestal, M. L. (1984). High-Performance Liquid Chromatography-Mass Spectrometry. Science. https://doi.org/10.1126/science.6385251
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.
