The Malaysian Journal of Analytical Sciences Vol 16 No 3 (2013): 262 –
272
SYSTEMATIC ASSESSMENT OF ATTENUATED TOTAL REFLECTANCE-FOURIER
TRANSFORMS INFRARED SPECTROSCOPY COUPLED WITH MULTIVARIATE ANALYSIS FOR
FORENSIC ANALYSIS OF BLACK BALLPOINT PEN INKS
(Penilaian
Bersistem Spektroskopi Mikro-ATR-FTIR yang Digabungkan dengan Analisis
Multivariat untuk Analisis Forensik Pen Mata Bulat Dakwat Hitam)
L. C. Lee 1,2, Mohamed Rozali Othman1*,
and H. Pua2
1School of Chemistry Sciences and Food Technology,
Faculty of
Science & Technology,
Universiti
Kebangsaan Malaysia, 43600 Bangi, Selangor D.E. Malaysia;
2 Program of Forensic Science,
Faculty of Health Science,
Universiti
Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
*Corresponding author: rozali@ukm.my
Abstract
This
manuscript aims to provide a new and non-destructive method for systematic
analysis of inks on a questioned document. Ink samples were analyzed in situ on the paper substrate by micro-ATR-FTIR spectroscopy and the data obtained was processed and
evaluated by a series of multivariate chemometrics. Absorbance value from
wavenumbers of 2000-675 cm-1 were first processed by cluster
analysis (CA), followed by principal component analysis (PCA) to form a set of
new variables. Subsequently, the variables set was used for classification,
differentiation and identification of 155 sample pens that comprise nine
different brands. Results show that nine black ballpoint pen brands could be
classified into three main groups via discriminant analysis (DA).
Differentiation analyses of nine different pen brands performed using one-way
ANOVA indicated only two pairs of brands cannot be differentiated at 95%
confidence interval. Finally an identification flow chart was proposed to
determine the brand of unknown pen inks. As a conclusion, the proposed method
for extracting and creating a new variable set from infrared spectrum was
evaluated to be satisfactory for systematic analysis of inks based on their
infrared spectrum.
Keywords: Forensic science; ATR-FTIR spectroscopy; classification;
differentiation; ink analysis; multivariate analysis
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