Discriminating paints of the same color has always been a challenge in automotive paint examination. The process is even more difficult when these paints originate from the same manufacturer and color. Raman spectroscopy is an effective and non-destructive method that is commonly used to differentiate automotive paint. This method is often used to provide a reliable information about pigments and extenders contained in topcoats and is barely used to examine other layers of paints. In this study, A total of 54 white automotive paints from one single manufacturer (Volkswagen) were prepared and analyzed by Raman Spectroscopy. Each layer of the samples was measured in order to evaluate if Raman spectroscopy can provide good discrimination power. Statistical methods were used to characterize and classify these samples. Correlations between paint characteristics and discriminating factors (such as model, topcoat color code, production year, and assembly plant) were also investigated to get a deeper understanding of automotive paints. This article seeks to address the question: How effectively can Raman spectroscopy differentiate OEM paint from mass-produced vehicles of the same color, manufactured by the same make?image
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Washington State Patrol, Washington State Crime Lab, 2203 Airport Way South,Bldg A,Suite 250, Seattle, WA 98134 USASam Houston State Univ, Dept Forens Sci, Coll Criminal Justice, Chem & Forens Sci Bldg 224,POB 2525,1003 Bowers B, Huntsville, TX 77340 USA
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Supreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Lv, Jungang
Zhang, Wen
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Shandong Acad Sci, Inst Biol, Key Lab Appl Microbiol Shandong Prov, Jinan, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Zhang, Wen
Liu, Shuo
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Supreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Liu, Shuo
Chen, Rui
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Beijing Jiaotong Univ, Sch Civil Engn, Dept Municipal & Environm Engn, Beijing, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Chen, Rui
Feng, Jimin
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Supreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Feng, Jimin
Zhou, Songdong
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Supreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China
Zhou, Songdong
Liu, Yong
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Supreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R ChinaSupreme Peoples Procuratorate, Procuratoral Technol & Informat Res Ctr, Xiangshan South St 111, Beijing 100144, Peoples R China