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                            Library & Multimedia
 Raman spectroscopy coupled with advanced statistics for differentiating menstrual and peripheral blood
NCJ Number
              307109
Journal

*Journal of Biophotonics* Volume: 7 Issue: 1-2 Dated: 2012 Pages: 59-67
Author(s)
          Aliaksandra Sikirzhytskaya;
                        Vitali Sikirzhytski;
                        Igor K. Lednev
Date Published

2021
Length
              9 pages
Annotation
              In this paper, the authors report on the application of near-infrared Raman microspectroscopy for distinguishing menstrual blood from circulating blood.
Abstract
              Body fluids are a common and important type of forensic evidence. In particular, the identification of menstrual blood stains is often a key step during the investigation of rape cases. Here, the authors report on the application of near-infrared Raman microspectroscopy for differentiating menstrual blood from peripheral blood. They observed that the menstrual and peripheral blood samples have similar but distinct Raman spectra. Advanced statistical analysis of the multiple Raman spectra that were automatically (Raman mapping) acquired from the 40 dried blood stains (20 donors for each group) allowed the authors to build classification model with maximum (100%) sensitivity and specificity. We also demonstrated that despite certain common constituents, menstrual blood can be readily distinguished from vaginal fluid. All of the classification models were verified using cross-validation methods. The proposed method overcomes the problems associated with currently used biochemical methods, which are destructive, time consuming and expensive. (Publisher Abstract Provided)
      
  
          Additional Details
Grant Number(s)
        2011-DN-BX-K551


  
  
        
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        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Raman spectroscopy for analyzing body fluid traces, stain aging, differentiation between races, genders and species
    
  
  
Date Published: January 1, 2021
    
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