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Updated: Jun 20, 2025

Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks
Published on: May 8, 2015
Discrimination and analytical profiling of colored printed documents using ATR-FTIR spectroscopy coupled with
Anjali Tomar1, Yamini1, Reeta R Gupta2
1Institute of Forensic Science & Criminology, Panjab University, Chandigarh 160014, India.
Forensic document analysis now uses spectroscopy and chemometrics for ink and toner discrimination. This study successfully used Principal Component Analysis (PCA) and Partial Least Square-Discriminant Analysis (PLS-DA) for accurate source determination of printed documents.
Area of Science:
- Forensic Science
- Analytical Chemistry
- Spectroscopy
Background:
- Printed documents are crucial evidence in forensic investigations.
- Spectroscopy and chemometrics enhance the analysis of printing inks.
- Previous studies have not comprehensively examined both black and colored printed documents using advanced chemometric methods.
Purpose of the Study:
- To explore the discriminatory potential of Principal Component Analysis (PCA), Soft Independent Modelling of Class Analogy (SIMCA), and Partial Least Square-Discriminant Analysis (PLS-DA) for forensic document examination.
- To determine the source of origin for unknown printed documents using a non-destructive approach.
- To analyze and compare ink-based and toner-based printed samples.
Main Methods:
- Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy was employed for non-destructive analysis.
- Seventy-four printed document samples (40 ink-based, 34 toner-based) were analyzed.
- Chemometric techniques including PCA, SIMCA, and PLS-DA were utilized for data analysis and classification.
Main Results:
- ATR-FTIR identified common binder polymers (polystyrene, bisphenol A, acrylates) and specific pigments (e.g., Carbon black, PB 15, PY 74).
- PCA revealed that Cyan contributed most to classification accuracy, explaining 97% of the variance.
- PLS-DA achieved 98.6% discrimination accuracy between sample classes, with 100% accuracy on blind test samples; SIMCA showed limitations with ink-based samples.
Conclusions:
- PLS-DA is a highly effective supervised method for discriminating between ink-based and toner-based printed documents.
- The combined use of ATR-FTIR spectroscopy and PLS-DA offers a robust, non-destructive method for forensic document source determination.
- This study provides a significant advancement in the analytical interpretation of printed evidence in forensic science.
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