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                            Library & Multimedia
 Standardized Process Developed for Identifying Dyes in Fibers
NCJ Number
              250881

Date Published

June 2017
Length
              2 pages
Annotation
              This article summarizes the report of an NIJ-funded project with the goal of finding the optimum extraction conditions for hundreds of fabrics and dye combinations, using an automated device that can extract 10 nanograms of the dye from a minute fabric sample.
Abstract
              This project involved chemists in a university's textile chemistry program and engineers and computer scientists in the same university's precision engineering center. The researchers report that the development of an automated micro-fluidic dye extraction system and the use of statistics-based methodologies is a step toward the elimination of subjective assessment by analysts when comparing fabric dyes. They report that the ability to perform statistical-error calculations is critical, since one of the challenges of trace evidence analysis of dyed fibers is the lack of statistical rigor in comparing a standard and unknown fiber. Such statistical rigor can only be achieved through objective methods that are repeatable, reproducible, and can be compared to a comprehensive database of dyes. The researchers believe that their methodology is a step toward the presentation of fiber dye testimony in court with a statistical-error calculation. The grantee's report on this project is entitled "Microfluidic System for Automated Dye Molecule Extraction and Detection for Forensic Fiber Identification."
      
  
          Additional Details
Grant Number(s)
        2011-DN-BX-K561


  
  
        
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        NIJ


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Summary)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Microfluidic  System for Automated Dye Molecule Extraction and Detection for Forensic Fiber Identification
    
  
  
Date Published: June 1, 2017
    
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