1 H-NMR with Multivariate Analysis for Automobile Lubricant Comparison

1 H-NMR with Multivariate Analysis for Automobile Lubricant Comparison

Identification of suspected automobile-related lubricants could provide valuable information in forensic cases. We examined that automobile lubricants might exhibit the chemometric characteristics to their individual usages. To compare the degree of clustering in the plots, we co-plotted general ind...

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Veröffentlicht in:Journal of forensic sciences 2017-07, Vol.62 (4), p.1033-1036
Hauptverfasser: Kim, Siwon, Yoon, Dahye, Lee, Dong-Kye, Yoon, Changshin, Kim, Suhkmann
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container_end_page 1036
container_issue 4
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container_title Journal of forensic sciences
container_volume 62
creator Kim, Siwon
Yoon, Dahye
Lee, Dong-Kye
Yoon, Changshin
Kim, Suhkmann
description Identification of suspected automobile-related lubricants could provide valuable information in forensic cases. We examined that automobile lubricants might exhibit the chemometric characteristics to their individual usages. To compare the degree of clustering in the plots, we co-plotted general industrial oils that were highly dissimilar with automobile lubricants in additive compositions. H-NMR spectroscopy was used with multivariate statistics as a tool for grouping, clustering, and identification of automobile lubricants in laboratory conditions. We analyzed automobile lubricants including automobile engine oils, automobile transmission oils, automobile gear oils, and motorcycle oils. In contrast to the general industrial oils, automobile lubricants showed relatively high tendencies of clustering to their usages. Our pilot study demonstrated that the comparison of known and questioned samples to their usages might be possible in forensic fields.
doi_str_mv 10.1111/1556-4029.13471
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title 1 H-NMR with Multivariate Analysis for Automobile Lubricant Comparison
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