Non-Destructive Discrimination of Blue Inks on Suspected Documents through the Combination of Raman Spectroscopy and Chemometric Analysis

J Pub Date : 2023-09-26 DOI:10.3390/j6040035
Sruthi Thiraviam Saravanan, Jaysiva Ganesamurthi, Shen-Ming Chen, Tse-Wei Chen, Chun-Jung Chen, Keseven Lakshmanan, Partheeban Chinnamuthu, Xiaoheng Liu, Ramachandran Balaji
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引用次数: 0

Abstract

Increasingly sophisticated techniques for falsifying and forging legal documents demand non-destructive and accurate analysis methods. Researchers have extensively investigated ink discrimination through an interdisciplinary analysis involving Raman spectroscopy and chemometrics, which is now regarded as a leading forensic document analysis approach. In this study, a groundbreaking method was developed to identify the specific origin of blue-ink pens used in written documents. By employing Raman spectroscopy in conjunction with principal component analysis (PCA), we successfully differentiated between 45 different blue-ink pens used on various documents. The Raman spectroscopy analysis provided a visual examination of each blue ink’s unique Raman signature, and PCA was then applied to the processed spectral data. Moreover, we successfully distinguished highly similar ink types in documents through the combined use of Raman spectroscopy, Pearson’s correlation analysis, and a statistical approach (PCA).
拉曼光谱与化学计量分析相结合对可疑文件上蓝色油墨的无损鉴别
越来越复杂的伪造和伪造法律文件的技术要求非破坏性和准确的分析方法。研究人员通过包括拉曼光谱和化学计量学在内的跨学科分析,广泛研究了墨水的区别,现在被认为是一种领先的法医文件分析方法。在这项研究中,开发了一种开创性的方法来确定书面文件中使用的蓝墨水笔的具体来源。通过使用拉曼光谱结合主成分分析(PCA),我们成功地区分了45种不同的蓝墨水笔用于不同的文件。拉曼光谱分析提供了对每种蓝墨水独特拉曼特征的视觉检查,然后将PCA应用于处理后的光谱数据。此外,通过结合使用拉曼光谱、Pearson相关分析和统计方法(PCA),我们成功地区分了文档中高度相似的油墨类型。
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