Justin Bueno - Raman Spectroscopic Analysis of Gunshot Residue Offering Great Potential for Caliber Differentiation

Document created by Justin Bueno on Aug 22, 2014
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  Publication Details (including relevant citation   information):

    Bueno, J.;   Sikirzhytski, V.; Lednev, I. K., Analytical Chemistry,   2012, 84 (10), 4334-4339.     DOI:   10.1021/ac203429x,   Journal Cover.


  Near-infrared (NIR) Raman microspectroscopy combined with   advanced statistics was used to differentiate gunshot residue   (GSR) particles originating from different caliber ammunition.   The firearm discharge process is analogous to a complex chemical   reaction. The reagents of this process are represented by the   chemical composition of the ammunition, firearm, and cartridge   case. The specific firearm parameters determine the conditions of   the reaction and thus the subsequent product, GSR. We found that   Raman spectra collected from these products are characteristic   for different caliber ammunition. GSR particles from 9 mm and   0.38 caliber ammunition, collected under identical discharge   conditions, were used to demonstrate the capability of confocal   Raman microspectroscopy for the discrimination and identification   of GSR particles. The caliber differentiation algorithm is based   on support vector machines (SVM) and partial least squares (PLS)   discriminant analyses, validated by a leave-one-out   cross-validation method. This study demonstrates for the first   time that NIR Raman microspectroscopy has the potential for the   reagentless differentiation of GSR based upon forensically   relevant parameters, such as caliber size. When fully developed,   this method should have a significant impact on the efficiency of   crime scene investigations.

  Address (URL): http://pubs.acs.org/doi/abs/10.1021/ac203429x?prevSearch=justin%2Bbueno&searchHi storyKey=