Conduction of a round-robin test on a real sample for the identification of gunshot residues by SEM/EDX

•A round-robin test was conducted on a real sample for GSR analysis by SEM/EDX. Eleven Institutes participated to this test.•With regard to the allocation to a specific GSR-class, a broad consensus emerged for ca. 75% of the particles of interest.•This type of campaign definitely offers a tool to mo...

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Published in:Forensic science international Vol. 309; p. 110183
Main Authors: Charles, Sébastien, Dodier, Thierry, Kaindl, Monika, Kastéropoulos, Alain, Knijnenberg, Alwin, Larsson, Marcus, Lauper, Sandrine, Merat, Nadine, Niewoehner, Ludwig, Scholz, Thomas, Simon, Laurence
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Published: Ireland Elsevier B.V 01-04-2020
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Abstract •A round-robin test was conducted on a real sample for GSR analysis by SEM/EDX. Eleven Institutes participated to this test.•With regard to the allocation to a specific GSR-class, a broad consensus emerged for ca. 75% of the particles of interest.•This type of campaign definitely offers a tool to monitor and optimize the classification process of the SEM/EDX systems. A round-robin test on the identification of GSR particles by SEM/EDX and involving eleven Institutes was conducted on a real sample, in order to evaluate the possibilities/limitations of using such sample to get additional information (compared to the analysis of the usual synthetic sample used within the framework of the ENFSI proficiency test) about the performances of the SEM/EDX systems. Each Institute was asked to analyse this sample following its own standard operating procedure, and by using all the systems in house, whenever available. Between each Institute, a check of the sample was performed by the organizing Institute (NICC), in order inter alia to monitor any degradation and/or contamination of the sample. A total of about 30 analyses were performed on the sample. For each particle of interest identified on the real sample, the detection effectiveness was monitored, as well as the classification allotted by each Institute. The Institutes were also asked to report some of their measurement parameters, and to send the results as they would have been communicated in their own case report. A quite good agreement was observed with regard to the classification of the particles of interest, since a broad consensus was reached for approximately 75% of these particles. A different classification risk exists for some classes, the barium/antimony classes being probably the most critical, as traces of lead may cause the particles to shift (or not) from the consistent with GSR upper-class to the characteristic of GSR upper-class; in the end, the decision to shift from one class to another strongly depends on local rules. At the end of the campaign, a survey sent to collect experience and lessons learned from this exercise showed that analysing a real sample definitively offers an added value, especially in terms of classification process (during the automatic run and when performing the manual review) of particles.
AbstractList A round-robin test on the identification of GSR particles by SEM/EDX and involving eleven Institutes was conducted on a real sample, in order to evaluate the possibilities/limitations of using such sample to get additional information (compared to the analysis of the usual synthetic sample used within the framework of the ENFSI proficiency test) about the performances of the SEM/EDX systems. Each Institute was asked to analyse this sample following its own standard operating procedure, and by using all the systems in house, whenever available. Between each Institute, a check of the sample was performed by the organizing Institute (NICC), in order inter alia to monitor any degradation and/or contamination of the sample. A total of about 30 analyses were performed on the sample. For each particle of interest identified on the real sample, the detection effectiveness was monitored, as well as the classification allotted by each Institute. The Institutes were also asked to report some of their measurement parameters, and to send the results as they would have been communicated in their own case report. A quite good agreement was observed with regard to the classification of the particles of interest, since a broad consensus was reached for approximately 75% of these particles. A different classification risk exists for some classes, the barium/antimony classes being probably the most critical, as traces of lead may cause the particles to shift (or not) from the consistent with GSR upper-class to the characteristic of GSR upper-class; in the end, the decision to shift from one class to another strongly depends on local rules. At the end of the campaign, a survey sent to collect experience and lessons learned from this exercise showed that analysing a real sample definitively offers an added value, especially in terms of classification process (during the automatic run and when performing the manual review) of particles.
•A round-robin test was conducted on a real sample for GSR analysis by SEM/EDX. Eleven Institutes participated to this test.•With regard to the allocation to a specific GSR-class, a broad consensus emerged for ca. 75% of the particles of interest.•This type of campaign definitely offers a tool to monitor and optimize the classification process of the SEM/EDX systems. A round-robin test on the identification of GSR particles by SEM/EDX and involving eleven Institutes was conducted on a real sample, in order to evaluate the possibilities/limitations of using such sample to get additional information (compared to the analysis of the usual synthetic sample used within the framework of the ENFSI proficiency test) about the performances of the SEM/EDX systems. Each Institute was asked to analyse this sample following its own standard operating procedure, and by using all the systems in house, whenever available. Between each Institute, a check of the sample was performed by the organizing Institute (NICC), in order inter alia to monitor any degradation and/or contamination of the sample. A total of about 30 analyses were performed on the sample. For each particle of interest identified on the real sample, the detection effectiveness was monitored, as well as the classification allotted by each Institute. The Institutes were also asked to report some of their measurement parameters, and to send the results as they would have been communicated in their own case report. A quite good agreement was observed with regard to the classification of the particles of interest, since a broad consensus was reached for approximately 75% of these particles. A different classification risk exists for some classes, the barium/antimony classes being probably the most critical, as traces of lead may cause the particles to shift (or not) from the consistent with GSR upper-class to the characteristic of GSR upper-class; in the end, the decision to shift from one class to another strongly depends on local rules. At the end of the campaign, a survey sent to collect experience and lessons learned from this exercise showed that analysing a real sample definitively offers an added value, especially in terms of classification process (during the automatic run and when performing the manual review) of particles.
ArticleNumber 110183
Author Kastéropoulos, Alain
Niewoehner, Ludwig
Lauper, Sandrine
Simon, Laurence
Charles, Sébastien
Dodier, Thierry
Larsson, Marcus
Merat, Nadine
Kaindl, Monika
Knijnenberg, Alwin
Scholz, Thomas
Author_xml – sequence: 1
  givenname: Sébastien
  surname: Charles
  fullname: Charles, Sébastien
  email: sebastien.charles@just.fgov.be
  organization: Institut National de Criminalistique et Criminologie, Bruxelles, Belgium
– sequence: 2
  givenname: Thierry
  orcidid: 0000-0001-9358-9157
  surname: Dodier
  fullname: Dodier, Thierry
  organization: Institut de Recherche Criminelle de la Gendarmerie National, Pontoise, France
– sequence: 3
  givenname: Monika
  surname: Kaindl
  fullname: Kaindl, Monika
  organization: Bayerisches Landeskriminalamt, München, Germany
– sequence: 4
  givenname: Alain
  surname: Kastéropoulos
  fullname: Kastéropoulos, Alain
  organization: Institut National de Police Scientifique, Marseille, France
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  givenname: Alwin
  orcidid: 0000-0003-0979-9341
  surname: Knijnenberg
  fullname: Knijnenberg, Alwin
  organization: Nederlands Forensisch Instituut, Den Haag, the Netherlands
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  givenname: Marcus
  surname: Larsson
  fullname: Larsson, Marcus
  organization: National Forensic Center, Linköping, Sweden
– sequence: 7
  givenname: Sandrine
  surname: Lauper
  fullname: Lauper, Sandrine
  organization: Institut National de Police Scientifique, Lyon, France
– sequence: 8
  givenname: Nadine
  orcidid: 0000-0003-0469-2182
  surname: Merat
  fullname: Merat, Nadine
  organization: Institut National de Police Scientifique, Toulouse, France
– sequence: 9
  givenname: Ludwig
  surname: Niewoehner
  fullname: Niewoehner, Ludwig
  organization: Bundeskriminalamt, Wiesbaden, Germany
– sequence: 10
  givenname: Thomas
  surname: Scholz
  fullname: Scholz, Thomas
  organization: Landeskriminalamt Sachsen, Dresden, Germany
– sequence: 11
  givenname: Laurence
  surname: Simon
  fullname: Simon, Laurence
  organization: Institut National de Police Scientifique, Paris, France
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32097863$$D View this record in MEDLINE/PubMed
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Keywords Round-robin test
Proficiency test
GSR
Classification
Reporting results
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Snippet •A round-robin test was conducted on a real sample for GSR analysis by SEM/EDX. Eleven Institutes participated to this test.•With regard to the allocation to a...
A round-robin test on the identification of GSR particles by SEM/EDX and involving eleven Institutes was conducted on a real sample, in order to evaluate the...
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SubjectTerms Accreditation
Antimony
Automatic classification
Barium
Classification
Conduction
Contamination
Design of experiments
Firearm discharge residue
Forensic ballistics
Forensic sciences
GSR
Identification
Laboratories
Particle size
Proficiency test
Reporting results
Round-robin test
Scanning electron microscopy
Software
Titanium
Title Conduction of a round-robin test on a real sample for the identification of gunshot residues by SEM/EDX
URI https://dx.doi.org/10.1016/j.forsciint.2020.110183
https://www.ncbi.nlm.nih.gov/pubmed/32097863
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