Discrimination of various paper types using diffuse reflectance ultraviolet-visible near-infrared (UV-Vis-NIR) spectroscopy: forensic application to questioned documents. 2015

Raj Kumar, and Vinay Kumar, and Vishal Sharma
Institute of Forensic Science and Criminology, Panjab University, Chandigarh 160014, India.

Diffuse reflectance ultraviolet-visible-near-infrared (UV-Vis-NIR) spectroscopy is applied as a means of differentiating various types of writing, office, and photocopy papers (collected from stationery shops in India) on the basis of reflectance and absorbance spectra that otherwise seem to be almost alike in different illumination conditions. In order to minimize bias, spectra from both sides of paper were obtained. In addition, three spectra from three different locations (from one side) were recorded covering the upper, middle, and bottom portions of the paper sample, and the mean average reflectivity of both the sides was calculated. A significant difference was observed in mean average reflectivity of Side A and Side B of the paper using Student's pair >t-test. Three different approaches were used for discrimination: (1) qualitative features of the whole set of samples, (2) principal component analysis, and (3) a combination of both approaches. On the basis of the first approach, i.e., qualitative features, 96.49% discriminating power (DP) was observed, which shows highly significant results with the UV-Vis-NIR technique. In the second approach the discriminating power is further enhanced by incorporating the principal component analysis (PCA) statistical method, where this method describes each UV-Vis spectrum in a group through numerical loading values connected to the first few principal components. All components described 100% variance of the samples, but only the first three PCs are good enough to explain the variance (PC1 = 51.64%, PC2 = 47.52%, and PC3 = 0.54%) of the samples; i.e., the first three PCs described 99.70% of the data, whereas in the third approach, the four samples, C, G, K, and N, out of a total 19 samples, which were not differentiated using qualitative features (approach no. 1), were therefore subjected to PCA. The first two PCs described 99.37% of the spectral features. The discrimination was achieved by using a loading plot between PC1 and PC2. It is therefore concluded that maximum discrimination of writing, office, and photocopy paper could be achieved on the basis of the second approach. Hence, the present inexpensive analytical method can be appropriate for application to routine questioned document examination work in forensic laboratories because it provides nondestructive, quantitative, reliable, and repeatable results.

UI MeSH Term Description Entries
D010209 Paper Thin sheets made from wood pulp and other fibrous substances, used for writing, drawing, printing, image duplication or wrapping. Papers
D044707 Forensic Sciences Disciplines that apply sciences to law. Forensic sciences include a wide range of disciplines, such as FORENSIC TOXICOLOGY; FORENSIC ANTHROPOLOGY; FORENSIC MEDICINE; FORENSIC DENTISTRY; and others. Digital Forensics,Forensic Mathematics,Digital Forensic,Forensic Mathematic,Forensic Science,Forensic, Digital,Mathematic, Forensic,Mathematics, Forensic,Science, Forensic
D019265 Spectroscopy, Near-Infrared A noninvasive technique that uses the differential absorption properties of hemoglobin and myoglobin to evaluate tissue oxygenation and indirectly can measure regional hemodynamics and blood flow. Near-infrared light (NIR) can propagate through tissues and at particular wavelengths is differentially absorbed by oxygenated vs. deoxygenated forms of hemoglobin and myoglobin. Illumination of intact tissue with NIR allows qualitative assessment of changes in the tissue concentration of these molecules. The analysis is also used to determine body composition. NIR Spectroscopy,Spectrometry, Near-Infrared,NIR Spectroscopies,Near-Infrared Spectrometries,Near-Infrared Spectrometry,Near-Infrared Spectroscopies,Near-Infrared Spectroscopy,Spectrometries, Near-Infrared,Spectrometry, Near Infrared,Spectroscopies, NIR,Spectroscopies, Near-Infrared,Spectroscopy, NIR,Spectroscopy, Near Infrared
D025341 Principal Component Analysis Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components. Analyses, Principal Component,Analysis, Principal Component,Principal Component Analyses

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