¹H‐NMR with Multivariate Analysis for Automobile Lubricant Comparison

Abstract

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.

Low‐Temperature Prepared ZnO Layer with Electron Beam Annealing Process for Enhancing the Environmental, Thermal, and Operational Stability of Organic Photovoltaics

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Adhesive and viscoelastic performance of surface functionalized nano‐Fe3O4 induced orientated ethylene vinyl‐acetate composite hot melt adhesives

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Influences of probe shape and surface roughness on tack properties measured by the probe tack test and characterization of crosslinked polyacrylic pressure‐sensitive adhesives

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