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在ATR-FTIR光谱学中应用的一级建模,用于确定与纸张老化有关的文件伪造

Erklaylle G C Silva¹, Carolina S Silva², M Fernanda Pimentel³

¹Federal University of Pernambuco, Department of Fundamental Chemistry, Av, Jornalista Aníbal Fernandes, 50.740-560, Cidade Universitária, Recife Brazil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

|August 22, 2024

概括

这项研究使用红外光谱和SIMCA算法来检测人工老化的文件. 该方法准确地识别了经热老化的伪造纸张,并显示了UV老化的文件的高性能.

科学领域:

法医科学法医科学法医科学
分析化学分析化学
材料科学是一种材料科学.

背景情况:

文件伪造的检测是法医分析的一个重大挑战.
人工老化技术被用来制造假冒文件.
区分自然和人工纸张老化对于真实性验证至关重要.

研究的目的:

开发一种非破坏性的方法来区分自然和人工老化的纸张.
评估红外光谱学与SIMCA算法相结合的有效性,以检测文件伪造.
用不同时期的自然老化的纸张来评估分类模型.

主要方法:

利用红外光谱仪获取纸张样本的光谱数据.
开发了软独立模拟类类类比 (SIMCA) 和数据驱动的SIMCA (DD-SIMCA) 分类模型.
采用天然老化的纸样 (1998-2015) 作为真实参考,以及人工老化的 (热/紫外线) 样本作为测试套件.

主要成果:

与自然老化的样本相比,经过高温的人工老化样本的识别准确率为100%.
通过紫外线辐射 (光降解) 老化的样本显示分类性能超过90%.
拟议的方法在检测与老化过程相关的文件伪造方面显示出有希望的结果.

结论:

红外光谱和SIMCA算法提供了一个强大的,非破坏性的方法来检测人工老化的文件.
该方法在识别热引起的衰老方面非常有效,这是一个常见的伪造技术.
这种技术为法医文档检查和身份验证提供了有价值的工具.

关键词:

人工老龄化的人工老龄化分类分类分类分类.这就是DD-SIMCA.文件伪造文件伪造中等红外线中等红外线在SIMCA SIMCA中使用.

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