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                            Library & Multimedia
 Predicting Fingerprint Age Based on Ozonolysis Kinetics of Unsaturated Triacylglycerol Degradation
NCJ Number
              307904
Journal

*Analytical Chemistry* Volume: 95 Issue: 32 Dated: 2023 Pages: 12047-12053
Author(s)
          Daphne R. Patten;
                        Andrew E. Paulson;
                        Trevor T. Forsman;
                        Young Jin Lee
Date Published

2023
Length
              7 pages
Annotation
              This study explores the possibility of predicting fingerprint age based on the chemical kinetics associated with the ambient ozonolysis of unsaturated triacylglycerols (TGs), a major component in fingerprint lipids.
Abstract
              In this study, the authors attempt to determine the time since deposition (TSD) of aged fingerprints from the chemical profile captured within a matrix-assisted laser desorption/ionization mass spectrometry data set. The overall decay of unsaturated triacylglycerols (TGs) follows the pseudo-first-order reaction kinetics, validating the researchers’ hypothesis; however, there are significant person-to-person variations in the initial abundance of unsaturated TGs and the decay rate, hampering the accurate prediction of TSD unless they are corrected for each individual. Nevertheless, the model’s applicability for ambient fingerprint aging data was successfully demonstrated. Despite several decades of studies to find an empirical correlation in fingerprint aging, there has been no reliable method so far. This study’s approach is based on the chemical kinetics associated with the ambient ozonolysis of unsaturated TGs, a major component in fingerprint lipids. First, ozone concentration and ambient temperature were determined to be the major factors in the degradation of unsaturated TGs. A simple kinetics model is then developed to describe the decay of unsaturated TGs, dictated only by the temperature and ozone concentration. This model is then applied to the degradation of TGs in a mixture of TG standards and multiple individuals’ fingerprints. (Published 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: January 1, 2023
    
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