Keywords
Automotive paint analysis; DART-HRMS; FTIR spectroscopy; Py-GC-MS; Forensic techniques
Abstract
Current techniques used to analyze automotive paint samples include microscopy, fourier – transform infrared (FTIR) spectroscopy, and pyrolysis gas chromatography - mass spectrometry (Py-GC-MS). These techniques are performed in the respective order listed above. Out of the three techniques currently used in this field, the one that has the highest discriminatory power is py-GC-MS; however, this technique is time consuming and destructive toward the sample. One hundred automotive paint samples were analyzed using FTIR, Py-GC-MS and direct analysis in real time-high resolution mass spectrometry (DART-HRMS) to determine how DART-HRMS compared to Py-GC-MS in terms of discriminatory capability. DART-HRMS takes approximately 4 minutes to run a sample while Py-GC-MS takes around 24 minutes per sample. The vast difference in analysis run times between the two techniques could help prevent and/or get rid of current backlogs in forensic trace labs. The clear coat and base coat of automotive paint samples were analyzed using DART-HRMS to compare the different information obtained for the separate layers. The accuracies of the models, based on LDA, were 86.77%, 87.98%, 95.61%, and 98.20% for DART-HRMS (base coat), FTIR, Py-GC-MS, and DART-HRMS (clear coat), respectively. This demonstrates that DART-HRMS can be utilized when analyzing automotive paint samples to achieve a higher discriminatory power while also analyzing samples in a fraction of the time that Py-GC-MS takes.
Notes
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
Graduation Date
2020
Semester
Summer
Advisor
Bridge, Candice
Degree
Master of Science (M.S.)
College
College of Sciences
Department
Chemistry
Degree Program
Forensic Science
Format
application/pdf
Identifier
CFE0008187; DP0023541
URL
https://purls.library.ucf.edu/go/DP0023541
Language
English
Release Date
August 2021
Length of Campus-only Access
1 year
Access Status
Masters Thesis (Open Access)
Subjects
Coatings--Analysis; Paint materials--Analysis; Mass spectrometry--Forensic applications; Gas chromatography--Forensic applications; Coatings--Evaluation
STARS Citation
Jones, Kaitlin, "Characterization of Clear Coat and Base Coat Automotive Paint Analysis Using DART-HRMS and Comparison of FTIR Spectroscopy, Py-GC-MS, and DART-HRMS for Clear Coat Analysis" (2020). Electronic Theses and Dissertations, 2020-2023. 238.
https://stars.library.ucf.edu/etd2020/238
Included in
Accessibility Statement
This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.