Department of Forensic Science, Punjabi University Patiala, Punjab 147002, India.
Department of Forensic Science, Punjabi University Patiala, Punjab 147002, India.
Forensic Sci Int. 2021 Dec;329:111062. doi: 10.1016/j.forsciint.2021.111062. Epub 2021 Oct 24.
Cosmetic evidence recovered during crime investigations, particularly in cases of physical and sexual assault against women can be utilised as associative evidence in the court of law. This evidence can provide a link between the suspect, the victim, and the crime scene and assist in solving criminal cases. A mismatched profile of exhibit's source of origin can also be utilised to definitely exclude the suspect exhibits. In the present study, ATR-FTIR (attenuated total reflectance-fourier transform infrared) spectroscopy has been employed for the analysis of eye-cosmetics (eyeliner and eyeshadow) samples. Chemometric tool- PCA (principal component analysis) has been used for the recognition of patterns in the data. PCA-LDA (linear discriminant analysis) utilized for classification purpose showed calibration accuracy of 100% and 98% for eyeliner and eyeshadow respectively while validation result showed 97% and 97% respectively. Preliminary substrate study has been performed in the current study. Result suggests that substrates such as cotton cloth and tissue paper hinder the analysis of eyeliner while the stain of eyeshadow on substrates such as cotton cloth, tissue paper, glass, and plastic could be correctly matched with its parent source.
在犯罪调查中回收的化妆品证据,特别是在针对妇女的身体和性侵犯案件中,可以作为法庭上的关联证据加以利用。该证据可以在嫌疑犯、受害者和犯罪现场之间建立联系,并有助于解决刑事案件。来源不匹配的展品特征也可以用来明确排除嫌疑犯展品。在本研究中,ATR-FTIR(衰减全反射-傅里叶变换红外)光谱法已被用于分析眼部化妆品(眼线笔和眼影)样品。化学计量工具-主成分分析(PCA)已被用于识别数据中的模式。用于分类目的的 PCA-LDA(线性判别分析)显示眼线笔的校准准确率为 100%,眼影分别为 98%,而验证结果分别为 97%和 97%。本研究进行了初步的基质研究。结果表明,像棉织物和纸巾这样的基质会阻碍眼线笔的分析,而像棉织物、纸巾、玻璃和塑料这样的基质上的眼影痕迹可以与其母体来源正确匹配。