Computational mass spectrometry accelerates C = C position-resolved untargeted lipidomics using oxygen attachment dissociation
Mass spectrometry is a powerful approach for untargeted lipidomics, however, the unambiguous determination of double bond positions remains challenging. Here, the authors present an approach for double bond position-resolved untargeted lipidomics using a combination of oxygen attachment dissociation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-12-01
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| Series: | Communications Chemistry |
| Online Access: | https://doi.org/10.1038/s42004-022-00778-1 |
| Summary: | Mass spectrometry is a powerful approach for untargeted lipidomics, however, the unambiguous determination of double bond positions remains challenging. Here, the authors present an approach for double bond position-resolved untargeted lipidomics using a combination of oxygen attachment dissociation and computational mass spectrometry to accurately annotate the biologically relevant lipidome. |
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| ISSN: | 2399-3669 |