期刊
FORENSIC CHEMISTRY
卷 17, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.forc.2019.100191
关键词
Forensic chemistry; Thermogravimetric analysis; Principal component analysis; Linear discriminant analysis; Chemometrics; Soil forensics
资金
- University Grant Commission (UGC, India)
- SERB, Department of Science & Technology (DST) through the EMR project [EMR/2016/001103]
- SERB, Department of Science & Technology (DST) through PURSE-II grant
The potential of thermogravimetric analysis combined with chemometric methods is explored for the forensic investigation of soil samples. In the present research, three milestones are achieved by thermal techniques; the identification of the patterns in the thermogram with their chemical interpretation; the development of indices to explain the extent of organic matter stability in relation with its thermal stability; and application of multivariate statistical analysis in the prediction of geographical regions of the soil. The characterization of soil samples gives an idea about the presence of organic/inorganic components. The thermal degradation of soil samples is observed by ATR-FTIR spectroscopy. The standard normal variate normalization is performed on the obtained dataset; it minimizes the variation caused by a varying amount of soil samples. The discrimination of soil samples is achieved by using multivariate algorithms including hierarchical cluster analysis (HCA), and principal component analysis (PCA). A linear discrimination function model (LDA) is developed for the classification of unknown soil samples into their respective geographical groups. The presented methodology provides a reproducible and unbiased identification and thus, makes thermal methods as attractive tools for the examination of soil/cement/clay related forensic cases.
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