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Surfactants usable for electrospray ionization mass spectrometry.
Y Ishihama1, H Katayama, N Asakawa
1Analytical Research Laboratories, Eisai Co., Ltd., 5-1-3 Tokodai, Tsukuba, Ibaraki, 300-2635, Japan. y-ishihama@hhc.eisai.co.jp
Analytical Biochemistry
|November 18, 2000
Summary
Fluorinated surfactants like PFOA and PFOSA enable sensitive electrospray ionization mass spectrometry (ESI-MS) analysis. These compounds enhance peptide and protein detection, offering improved sensitivity and applicability in biological research.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Biochemistry
Background:
- Surfactants typically suppress electrospray ionization (ESI) efficiency.
- Developing sensitive ESI-mass spectrometry (ESI-MS) methods is crucial for analyzing complex biological samples.
Purpose of the Study:
- To investigate the utility of fluorinated surfactants, specifically perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOSA), in ESI-MS.
- To evaluate their impact on sensitivity and applicability in various analytical techniques.
Main Methods:
- Micellar electrokinetic chromatography (MEKC)/ESI-MS analysis of ionic and nonionic compounds.
- High-performance liquid chromatography (HPLC)/ESI-MS analysis of enzymatically digested peptides and sulfonamides.
- Protein analysis using ESI-MS in the presence of fluorinated surfactants.
Main Results:
- PFOA and PFOSA did not significantly decrease ESI-MS sensitivity.
- PFOA acted as a paired ion in HPLC/ESI-MS, improving peak shape, retention times, and sensitivity.
- PFOA demonstrated superior sensitivity for protein analysis compared to other surfactants.
- PFOA was easily removed by evaporation, allowing signal recovery.
Conclusions:
- Fluorinated surfactants like PFOA and PFOSA are compatible with ESI-MS, enhancing sensitivity and applicability.
- They can be used in MEKC and HPLC for analyzing various compounds, including peptides and proteins.
- Their ability to aid in protein solubilization, extraction, and disaggregation expands ESI-MS applications in proteomics.