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                            Library & Multimedia
 Raman spectroscopy for forensic bloodstain identification: Method validation vs. environmental interferences
NCJ Number
              303083
Journal

*Forensic Chemistry* Volume: 16 Dated: 2019
Author(s)
          R. Rosenblatt;
                        et al
Date Published

2019
Annotation
              This study sought to prove that Raman spectroscopy is not susceptible to false positive (FP) assignments from environmental interferences (EIs) specific to blood.
Abstract
              The identification of body fluid (BF) stains at a crime scene is an important step of a crime-scene investigation, since traces of BFs are typically the main source of DNA evidence. Raman spectroscopy is a new emerging method for identifying and differentiating between BF stains. As any new analytical method developed for identification and differentiation of classes of materials, it needs to be evaluated for potential environmental interferences (EIs). In the current study, 24 EI substances that may be misclassified as blood due to either their appearance or were known to provide a FP result with forensic crime-scene tests for blood identification were analyzed in this study. The spectra of the 24 substances were tested against a recently developed support vector machines discriminant analysis (SVMDA) classification model used for BF differentiation. The SVMDA model identified all substances as not peripheral blood, but some of the substances were predicted as one of the other four BFs; therefore, random forests (RF) analysis was employed to build a new, more robust, classification method to overcome this limitation. Using this approach, complete separation was achieved based on a classification probability threshold of 70 percent. This method can also be used in the future to test potential EI substances specific to other common BFs. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2017-DN-BX-0135
                                2015-R2-CX-0021


  
  
        
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        Raman spectroscopy for analyzing body fluid traces: Universal method development
    
  
  
Date Published: January 1, 2019
    
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