biostudies-literatureUnknown8(9)Paulson AEA Kendrick mass defect (KMD) plot is an efficient way to disperse complex high-resolution mass spectral data in a visually informative two-dimensional format which allows for the rapid assignment of compound classes that differ by heteroatom content and/or unsaturation. Fingerprint lipid oxidation has the potential to be used to estimate the time since deposition of a fingerprint, but the mass spectra become extremely complex as the lipids degrade. We apply KMD plot analysis for the first time to sebaceous fingerprints aged for 0-7 days to characterize lipid degradation processes analyzed by MALDI-MS. In addition to the ambient ozonolysis of fingerprint lipids previously reported, we observed unique spectral features associated with epoxides and medium chain fatty acid degradation productsACS central science1328-1335https://www.ebi.ac.uk/biostudies/studies/S-EPMC9523776biostudies-literatureNovel Ambient Oxidation Trends in Fingerprint Aging Discovered by Kendrick Mass Defect Analysis.PMC9523776Lee YJPaulson AEfalseNovel Ambient Oxidation Trends in Fingerprint Aging Discovered by Kendrick Mass Defect Analysis.A Kendrick mass defect (KMD) plot is an efficient way to disperse complex high-resolution mass spectral data in a visually informative two-dimensional format which allows for the rapid assignment of compound classes that differ by heteroatom content and/or unsaturation. Fingerprint lipid oxidation has the potential to be used to estimate the time since deposition of a fingerprint, but the mass spectra become extremely complex as the lipids degrade. We apply KMD plot analysis for the first time to sebaceous fingerprints aged for 0-7 days to characterize lipid degradation processes analyzed by MALDI-MS. In addition to the ambient ozonolysis of fingerprint lipids previously reported, we observed unique spectral features associated with epoxides and medium chain fatty acid degradation products2022-01-01T00:00:00Z2022 Sep2025-04-22T03:32:12.345Z2025-04-05T20:45:01.054ZS-EPMC95237763618833910.1021/acscentsci.2c00408