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Chemical discrimination of lubricant marketing types using direct analysis in real time time-of-flight mass spectrometry.
Maric, Mark; Harvey, Lauren; Tomcsak, Maren; Solano, Angelique; Bridge, Candice.
Afiliación
  • Maric M; National Center for Forensic Science, University of Central Florida, PO Box 162367, Orlando, FL, 32816-2367, USA.
  • Harvey L; National Center for Forensic Science, University of Central Florida, PO Box 162367, Orlando, FL, 32816-2367, USA.
  • Tomcsak M; National Center for Forensic Science, University of Central Florida, PO Box 162367, Orlando, FL, 32816-2367, USA.
  • Solano A; National Center for Forensic Science, University of Central Florida, PO Box 162367, Orlando, FL, 32816-2367, USA.
  • Bridge C; National Center for Forensic Science, University of Central Florida, PO Box 162367, Orlando, FL, 32816-2367, USA.
Rapid Commun Mass Spectrom ; 31(12): 1014-1022, 2017 Jun 30.
Article en En | MEDLINE | ID: mdl-28401661
ABSTRACT
RATIONALE In comparison to other violent crimes, sexual assaults suffer from very low prosecution and conviction rates especially in the absence of DNA evidence. As a result, the forensic community needs to utilize other forms of trace contact evidence, like lubricant evidence, in order to provide a link between the victim and the assailant.

METHODS:

In this study, 90 personal bottled and condom lubricants from the three main marketing types, silicone-based, water-based and condoms, were characterized by direct analysis in real time time of flight mass spectrometry (DART-TOFMS). The instrumental data was analyzed by multivariate statistics including hierarchal cluster analysis, principal component analysis, and linear discriminant analysis.

RESULTS:

By interpreting the mass spectral data with multivariate statistics, 12 discrete groupings were identified, indicating inherent chemical diversity not only between but within the three main marketing groups. A number of unique chemical markers, both major and minor, were identified, other than the three main chemical components (i.e. PEG, PDMS and nonoxynol-9) currently used for lubricant classification. The data was validated by a stratified 20% withheld cross-validation which demonstrated that there was minimal overlap between the groupings.

CONCLUSIONS:

Based on the groupings identified and unique features of each group, a highly discriminating statistical model was then developed that aims to provide the foundation for the development of a forensic lubricant database that may eventually be applied to casework. Copyright © 2017 John Wiley & Sons, Ltd.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Rapid Commun Mass Spectrom Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Rapid Commun Mass Spectrom Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos