Evaluation of principal components analysis with high-performance liquid chromatography and photodiode array detection for the forensic differentiation of ballpoint pen inks.

作者: Ashwini A. Kher , Elinore V. Green , Mary I. Mulholland

DOI: 10.1520/JFS15061J

关键词:

摘要: Inks from seven black and eight blue ballpoint pens were separated by a high-performance liquid chromatography (HPLC) method utilizing photodiode array detection (PDA). A classifier flowchart was designed for the chromatographic data based on presence or absence of certain peaks at different wavelengths to qualitatively discriminate between inks. The same quantitatively classified principal components analysis (PCA) estimate separation pair classes ink samples. It found that pen inks discriminated satisfactorily two-dimensional peak areas retention times optimum wavelengths. analyzing four simultaneously with cross-validated PCA. results this study indicated HPLC-PDA coupled chemometrics could make powerful discriminating tool forensic chemist, especially when extensive and/or complex data.

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