FORENSIC EXAMINATION OF TEXTILE FIBERS USING UV-VIS SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS
Abstract
The current study aims at discriminating cotton and woolen textile fibers from dye using UV-Vis spectroscopy and chemometrics methods. For extraction of the dye from fibers, seven solvent systems have been used, and different extraction conditions have also been tested. Two different approaches, i.e., a visual comparison of peaks and chemometric analysis, have been proposed to differentiate between the textile fibers. The comparison of peaks obtained through UV-Vis spectra provides the discrimination power of 83.6% for cotton fibers and 94.3% for the woolen fibers. However, the incorporation of chemometrics has further improved the discrimination power to 100% for cotton and 98.1% for woolen fibers. The discrimination of 100% is achieved with nonsignificant values of the Welch’s t-test, which illustrates that all samples are discriminated.
About the Authors
V. . Sharma
Institute of Forensic Science and Criminology, Panjab University
Russian Federation
Russian Federation
R. . Kumar
Institute of Forensic Science and Criminology, Panjab University
Russian Federation
Russian Federation
P. . Kaur
Institute of Forensic Science and Criminology, Panjab University
Russian Federation
Russian Federation
References
1. M. M. Houck, Mute Witnesses, San Diego, CA, Elsevier, Academic Press (2001).
2. S. Palenik, Microscopical Examination of Fibres. In: Forensic Examination of Fibres, Ed. J. Robertson, M. Grieve, 2nd ed., New York, CRC (1999).
3. K. Kirkbride, M. Tungol, Infrared Microspectroscopy of Fibres. In: Forensic Examination of Fibres, Ed. J. Robertson, M. Grieve, 2nd ed., New York, CRC (1999).
4. K. G. Wiggins, S. R. Crabtree, B. M. March, J. Forens. Sci., 41, 1042-1045 (1996).
5. G. M. Golding, S. Kokot, J. Forens. Sci., 34, 1156-1165 (1989).
6. R. Griffin, J. Speers, Other Methods of Colour Analysis: High Performance Liquid Chromatography. In: Forensic Examination of Fibres, Ed. J. Robertson, M. Grieve, 2nd ed., Boca Raton, FL, CRC (1999).
7. A. A. Tuinman, L. A. Lewis, S. A. Lewis, Anal. Chem., 75, 2753-2760 (2003).
8. L. J. Soltzberg, A. Hagar, S. Kridaratikorn, A. Mattson, R. Newman, J. Am. Soc. Mass Spectrom., 18, 2001-2006 (2007).
9. A. R. Fakhari, M. C. Breadmore, M. Macka, P. R. Haddad, Anal. Chim. Acta, 580, 188-193 (2006).
10. M. C. Grieve, T. W. Biermann, M. Davingnon, Sci. Justice, 43, 5-22 (2003).
11. K. G. Wiggins, J. A. Holness, B. M. March, J. Forens. Sci., 50, 364-368 (2005).
12. K. G. Wiggins, R. Palmer, W. Hutchinson, P. Drummond, Sci. Justice, 47, 9-18 (2007).
13. S. Kokot, K. Crawford, L. Rintoul, U. Meyer, Vibr. Spectrosc., 15, 103-111 (1997).
14. J. Thomas, P. Buzzini, G. Massonnet, B. Reedy, C. Roux, J. Forens. Sci. Int., 152, 189-197 (2005).
15. G. Massonnet, P. Buzzini, F. Monard, G. Jochem, L. Fido, S. Bell, M. Stauber, T. Coyle, C. Roux, J. Hemmings, H. Leijenhorst, Z. Van Zanten, K. Wiggins, C. Smith, S. Chabli, T. Sauneuf, A. Rosengarten, C. Meile, S. Ketterer, A. Blumer. J. Forens. Sci. Int., 222, 200-207 (2012).
16. R. Kumar, V. Sharma, Spectrochim. Acta A: Mol. Biomol. Spectrosc., 175, 67-75 (2017).
17. M. J. C. Pontes. Anal. Chim. Acta, 642, 12-18 (2009).
18. R. Kumar, V. Kumar, V. Sharma, Spectrochim. Acta A: Mol. Biomol. Spectrosc., 170, 19-28 (2017).
19. R. G. Brereton, Chemometrics: Data Analysis for the Laboratory and Chemical Plant, Chichester, John Wiley & Sons Ltd. (2003).
20. D. L. Massart, B. G. M. Vandeginste, S. N. Deming, Chemometrics: A Textbook (Data Handling in Science and Technology), Vol. 2, Amsterdam, Elsevier (1988).
21. A. V. Alekseyenko, Bioinformatics, 32, 3552-3558 (2016).
22. K. Smalldon, A. Moffat, S. L. Morgan, J. Forens. Sci. Soc., 13, 291-295 (1973).
23. H. F. Kaiser, Educ. Psychol. Measur., 20, 141-151 (1960).
24. R. Kumar, V. Sharma, TrAC, Trends Anal. Chem., 105, 191-201 (2018).
Review
For citations:
Sharma V., Kumar R., Kaur P. FORENSIC EXAMINATION OF TEXTILE FIBERS USING UV-VIS SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS. Zhurnal Prikladnoii Spektroskopii. 2019;86(1):110-115. (In Russ.)
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