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.

中文翻译：

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使用拉曼光谱和化学计量学对同一制造商的白色汽车油漆进行法医分析

区分相同颜色的油漆一直是汽车油漆检查中的一个挑战。当这些油漆来自相同的制造商和颜色时，这个过程会更加困难。拉曼光谱是一种有效且非破坏性的方法，通常用于区分汽车油漆。该方法通常用于提供有关面漆中所含颜料和增量剂的可靠信息，并且几乎不用于检查其他油漆层。在这项研究中，制备了来自一家制造商（大众汽车）的总共 54 种白色汽车涂料，并通过拉曼光谱进行了分析。对样品的每一层进行测量，以评估拉曼光谱是否可以提供良好的辨别力。使用统计方法对这些样本进行表征和分类。还调查了油漆特性和判别因素（例如型号、面漆颜色代码、生产年份和装配工厂）之间的相关性，以更深入地了解汽车油漆。