Testoni, S.; Ortiz, R.; Mariotti, K.; Camargo, F. Forensic Assessment of Textile Fibers Using Micro FTIR-ATR Spectroscopy. Preprints2023, 2023051640. https://doi.org/10.20944/preprints202305.1640.v1
APA Style
Testoni, S., Ortiz, R., Mariotti, K., & Camargo, F. (2023). Forensic Assessment of Textile Fibers Using Micro FTIR-ATR Spectroscopy. Preprints. https://doi.org/10.20944/preprints202305.1640.v1
Chicago/Turabian Style
Testoni, S., Kristiane Mariotti and Flavio Camargo. 2023 "Forensic Assessment of Textile Fibers Using Micro FTIR-ATR Spectroscopy" Preprints. https://doi.org/10.20944/preprints202305.1640.v1
Abstract
Forensic assessments may involve the sampling of textile fibers when examining crime scenes. The need to characterize and identify those fibers is crucial as they can provide extensive information relating to a crime, linking a suspect to a location. Fibers in particular may contain issues in terms of both size and quantity of sample, and micro Fourier transform Infrared in attenuated total reflectance mode (micro FTIR-ATR) spectroscopy presents a non-destructive method to identify those fibers. In this study we carried out a rapid forensic assessment via micro FTIR-ATR of sixty textile fibers recovered from twenty white fabrics relying on tape lifting method, in order to discriminate those materials. Two dimensional principal component analysis and radar chart were applied to enhance the visual comparison of the fibers. Results of infrared spectra revealed that the technique allows the discrimination of textile fibers according to their spectral composition (cellulose, polyamide, polyester, or mixture of these composites) and to some characteristics, as number and width of peaks, peak position according to the wavenumber, absorbance index related to peak sharpness, etc. The technique was deemed useful in the forensic assessment of the fibers, presenting rapid and enlightening results.
Chemistry and Materials Science, Paper, Wood and Textiles
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
