This video presents a comparative study of multivariate statistical methods for chemical forensic profiling of a carbamate chemical warfare agent precursor. The study explores advanced chemometric tools — including PCA, LDA, PLS-DA, hierarchical clustering, Random Forest, SVM, and t-SNE/UMAP — to assess classification accuracy, pattern recognition, and source attribution. The focus is on analytical interpretation, validation, and the ethical and legal framework of forensic chemistry, ensuring strict adherence to non-proliferation principles. This comparative analysis provides valuable insights for researchers, forensic scientists, and data analysts working in chemical security and analytical chemistry.
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