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• W4367185423 startingPage "100503" @default.
• W4367185423 abstract "Nail polish can be important evidence in crimes like murder, rape, and suicides. Due to its prevalence, it can be important corroborative evidence in crime reconstruction. This paper reports the use of non-destructive ATR-FTIR spectroscopy combined with chemometrics for the discrimination of 79 nail polish samples of 8 brands. Differences in peak patterns, their absorbance, and the presence or absence of specific components in the chemical composition were examined in the ATR-FTIR technique prior to the discrimination with the statistical PLS-DA model. An excellent classification of samples was obtained according to the brands. The performance of PLS-DA through receiver operating characteristic (ROC) curves shows near-perfect results for the classification of the nail polish brands. Because nail polish can be found on many types of substrates such as paper, jeans, plastic, cloth, etc at the crime scene, we have tested all the unknown traces on such substrates and again, all the unknown samples (100%) in six substrates viz. cotton, jeans, white paper, polyester, tissue and nylon were correctly attributed to their source brand using the already trained PLS-DA model. The proof of concept demonstrated has potential applications in forensic casework." @default.
• W4367185423 created "2023-04-28" @default.
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• W4367185423 date "2023-07-01" @default.
• W4367185423 modified "2023-10-03" @default.
• W4367185423 title "Forensic analysis of nail polish traces on different substrates using ATR-FTIR spectroscopy and chemometric methods" @default.
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• W4367185423 doi "https://doi.org/10.1016/j.forc.2023.100503" @default.
• W4367185423 hasPublicationYear "2023" @default.
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