Structure investigation of peptides using G-SIMS
In terms of the development of new medicines, the identification of peptides in organs and tissues is crucial. Because time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS) has extremely high sensitivity and does not require a special pretreatment of samples, it is one of the most promising anal...
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| Veröffentlicht in: | Surface and interface analysis 2013-01, Vol.45 (1), p.190-193 |
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| creator | Aoyagi, Satoka Mihara, Ichiro Kudo, Masahiro |
| description | In terms of the development of new medicines, the identification of peptides in organs and tissues is crucial. Because time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS) has extremely high sensitivity and does not require a special pretreatment of samples, it is one of the most promising analysis techniques for evaluation of unknown peptides in organ extract. It is, however, often difficult to interpret TOF‐SIMS spectra of biomolecules because of the overlap of fragment ions from biomolecules and organic molecules and the difficulty for identifying high mass secondary ions. Therefore, appropriate data analysis methods such as G‐SIMS and multivariate analysis are necessary to characterize intricate TOF‐SIMS spectra. In this study, G‐SIMS was applied to interpret TOF‐SIMS spectra of peptide samples. As a result, molecular ions of two peptides, approximately 400 molecular weight, were indicated automatically using G‐SIMS analysis without preinformation on the tested peptides. Copyright © 2012 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/sia.5089 |
| format | Article |
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Because time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS) has extremely high sensitivity and does not require a special pretreatment of samples, it is one of the most promising analysis techniques for evaluation of unknown peptides in organ extract. It is, however, often difficult to interpret TOF‐SIMS spectra of biomolecules because of the overlap of fragment ions from biomolecules and organic molecules and the difficulty for identifying high mass secondary ions. Therefore, appropriate data analysis methods such as G‐SIMS and multivariate analysis are necessary to characterize intricate TOF‐SIMS spectra. In this study, G‐SIMS was applied to interpret TOF‐SIMS spectra of peptide samples. As a result, molecular ions of two peptides, approximately 400 molecular weight, were indicated automatically using G‐SIMS analysis without preinformation on the tested peptides. 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As a result, molecular ions of two peptides, approximately 400 molecular weight, were indicated automatically using G‐SIMS analysis without preinformation on the tested peptides. 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| subjects | Atomic, molecular, and ion beam impact and interactions with surfaces Condensed matter: electronic structure, electrical, magnetic, and optical properties Electron and ion emission by liquids and solids impact phenomena enkephalin Exact sciences and technology G-SIMS Impact phenomena (including electron spectra and sputtering) peptide identification Physics TOF-SIMS |
| title | Structure investigation of peptides using G-SIMS |
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