Title of article :
Chemometric classification of gunshot residues based on energy dispersive X-ray microanalysis and inductively coupled plasma analysis with mass-spectrometric detection
Author/Authors :
Steffen، نويسنده , , J. R. Blake and S. R. Otto، نويسنده , , M. and Niewoehner، نويسنده , , Andreas L. and Barth، نويسنده , , M. and Bro??ek-Mucha، نويسنده , , Z. and Biegstraaten، نويسنده , , J. and Horv?th، نويسنده , , R.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
A gunshot residue sample that was collected from an object or a suspected person is automatically searched for gunshot residue relevant particles. Particle data (such as size, morphology, position on the sample for manual relocation, etc.) as well as the corresponding X-ray spectra and images are stored. According to these data, particles are classified by the analysis-software into different groups: ‘gunshot residue characteristic’, ‘consistent with gunshot residue’ and environmental particles, respectively. Potential gunshot residue particles are manually checked and – if necessary – confirmed by the operating forensic scientist.
re are continuing developments on the ammunition market worldwide, it becomes more and more difficult to assign a detected particle to a particular ammunition brand. As well, the differentiation towards environmental particles similar to gunshot residue is getting more complex.
p external conditions unchanged, gunshot residue particles were collected using a specially designed shooting device for the test shots revealing defined shooting distances between the weaponʹs muzzle and the target. The data obtained as X-ray spectra of a number of particles (3000 per ammunition brand) were reduced by Fast Fourier Transformation and subjected to a chemometric evaluation by means of regularized discriminant analysis.
ition to the scanning electron microscopy in combination with energy dispersive X-ray microanalysis results, isotope ratio measurements based on inductively coupled plasma analysis with mass-spectrometric detection were carried out to provide a supplementary feature for an even lower risk of misclassification.
Keywords :
SEM/EDX , Regularized discriminant analysis , Fast Fourier Transformation , GSR , ICP-MS
Journal title :
Spectrochimica Acta Part B Atomic Spectroscopy
Journal title :
Spectrochimica Acta Part B Atomic Spectroscopy