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一个全面的ATR-FTIR光谱分析用于识别和差异化唇膏

Arti Yadav¹, Chongtham Nimi¹, Sweety Sharma²

¹Department of Forensic Science, Punjabi University, Patiala, India.

Journal of forensic sciences

|July 7, 2023

概括

法医科学家可以使用ATR-FTIR光谱和化学测量来识别唇膏品牌. 这种方法有助于将证据,受害者和犯罪现场联系起来,即使在各种表面上老化之后.

科学领域:

法医科学法医科学法医科学
分析化学分析化学
频谱学是一种光谱学.

背景情况:

唇膏在刑事调查中是潜在的物质证据.
了解唇膏的多样性和降解对于其作为证据的使用至关重要.
建立受害者,嫌疑人和犯罪现场之间的联系可以通过唇膏分析得到支持.

研究的目的:

客观地识别和区分20个口唇膏品牌,使用光谱和化学测量.
为了研究唇膏样本的老化过程和基质效应.
评估这种方法在法医案例工作中的潜力.

主要方法:

采用了减弱总反射率-里埃变换红外光谱法 (ATR-FTIR).使用了减弱总反射率-里埃变换红外光谱法.
化学测量工具,包括主要成分分析 (PCA) 和线性差异分析 (LDA),用于数据分析.
唇膏样品被分析在各种基板和在不同的环境条件下随着时间的推移.

主要成果:

使用PCA-LDA.实现了高培训准确率 (92.5%) 和验证准确率 (83.33%).
一项盲目的研究表明,原始样品的准确性为80%.
准确的识别在无孔的基板上比有孔的基板更成功,即使在15天后.

结论:

与PCA-LDA相结合的ATR-FTIR光谱法是客观识别唇膏的可行方法.
该技术在法医案例工作中表现有前途,有助于从各种基板上进行品牌级别的识别.
这项研究支持使用唇膏作为刑事调查中有价值的证据.

关键词:

通过ATR-FTIR光谱学检测.这是分类分类的分类.歧视是一种歧视.法医科学法医科学法医科学线性差异分析 (LDA) 是一种分析方法.唇膏唇膏护唇膏主要组成部分分析 (PCA)

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