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                            Library & Multimedia
 Novel Ambient Oxidation Trends in Fingerprint Aging Discovered by Kendrick Mass Defect Analysis
NCJ Number
              305266
Journal

*ACS Central Science* Volume: 8 Issue: 9 Dated: 2022 Pages: 1328-1335
Author(s)
          Andrew E. Paulson;
                        Young Jin Lee
Date Published

September 2022
Length
              8 pages
Annotation
              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.
Abstract
              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. 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 products that are correlated with fingerprint age. We propose an ambient epoxidation mechanism via a peroxyl radical intermediate and the prevalence of omega-10 fatty acyl chains in fingerprint lipids to explain the features observed by the KMD plot analysis. Our hypotheses are supported by an aging experiment performed in a sparse ozone condition and on-surface Paternò–Büchi reaction. A comprehensive understanding of fingerprint degradation processes, afforded by the KMD plots, provides crucial insights for considering which ions to monitor and which to avoid, when creating a robust model for time since deposition of fingerprints. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2019-DU-BX-0134


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Forensic Evidence from Chemical Imaging of Triacylglycerols in Latent Fingerprints
    
  
  
Date Published: September 1, 2022
    
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        Fingerprint analysis
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        Latent fingerprints



  
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