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http://dx.doi.org/10.7584/ktappi.2016.48.1.034

Classification of papers using IR and NIR spectra and principal component analysis  

Kim, Kang-Jae (Dept. of Wood Science and Technology, College of Agriculture and Life Science, Kyungpook National University)
Eom, Tae-Jin (Dept. of Wood Science and Technology, College of Agriculture and Life Science, Kyungpook National University)
Publication Information
Journal of Korea Technical Association of The Pulp and Paper Industry / v.48, no.1, 2016 , pp. 34-42 More about this Journal
Abstract
In this study, we classified three copying papers and Korean, Chinese, and Japanese traditional papers using IR and/or NIR spectra and principal component analysis. Various chemicals are used when producing fine papers. In this case, the IR method to analyze functional groups is suitable for the classification of paper. On the other hand, NIR analysis is more suitable for the classification of traditional papers, as it uses nearly raw materials (pulp). Therefore, principal component analysis using IR and NIR depending on the paper production process will be the classification tool of paper.
Keywords
Chemometrics; principal component analysis (PCA); ATR; NIR; multivariate analysis; classification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Yang, B. H., Understanding multivariate data analysis, CommunicationBooks, Seoul, Korea (2006).
2 Lee, S., Lohumi, S., Cho, B. K., Kim, M. S. and Lee, S. H., Development of nondestructive detection method for adulterated powder products using Raman spectroscopy and partial least squares regression, J. Korean Society for Nondestructive Testing, 34(4): 283-289 (2014).   DOI
3 Park, G. B., Multivariate data analysis, Hakjisa, Seoul, Korea (2000).
4 Watanabe, K., Abe, H., Kataoka, Y. and Nodhito, S., Species separation of aging and degraded solid wood using near infrared spectroscopy, Japanese Journal of Historical Botany, 19(1-2): 117-124 (2011).
5 Schimleck, L. R., Michell, A. J. and Vinden, P., Eucalyptus wood classification by NIR spectroscopy and principal components analysis, Appita Journal, 49(5): 319-324 (1996).
6 Horikawa, Y., Mizuno-Tazuru, S. and Sugiyama, J., Near-infrared spectroscopy as a potential method for identification of anatomically similar Japanese diploxylons, J. Wood Science, 61(3): 251-261 (2015).   DOI
7 Mattias S., Approaches to analyse and interpret biological profile data, Ph. D. thesis, University of Potsdam, Germany (2006).
8 Savitzky, A. and Golay, M. J. E., Smoothing and differentiation of data by simplified least squares procedures, Analytical Chemistry, 36(8): 1627-1639 (1964).   DOI
9 Wold, S., Esbensen, K. and Geladi, P., Principal component analysis, Chemometrics and Intelligent Laboratory Systems, 2(1-3): 37-52 (1987).   DOI
10 Hwang, S. W., Lee, W. H., Horikawa, Y. and Sugiyama, J., Chemometrics approach for species identification of Pinus densiflora Sieb. et Zucc. and Pinus densiflora for erecta Uyeki, J. Korean Wood Science and Technology, 43(6): 701-713 (2015).   DOI
11 McDonald, R. G., The pulping of wood Volume I, McGraw-Hill Book Company, USA (1969).
12 Esteves, B., Velez Marques, A., Domingos, I. and Pereira, H., Chemical changes of heat treated pine and eucalypt wood monitored by FTIR, Maderas. Cinc. Tecnol., 15(2): 245-258 (2013).
13 Largo-Goosens, A., Hernandez-Altamirano, M., Garcia-Calvo, L., Alonso-Simon, A., Alvarez, J. and Acebes, J. L., Fourier transform mid infrared spectroscopy applications for monitoring the structural plasticity of plant cell walls, Front. Plant Sci., 30(303): 1-15 (2014).
14 Schwanninger, M., Rodrigues, J. C. and Fackler, K., A review of band assignments in near infrared spectra of wood and wood components, Journal of Near Infrared Spectroscopy, 19(5): 287-308 (2011).   DOI
15 Tsuchikawa, S., A review of recent near infrared research for wood and paper, Applied Spectroscopy Reviews, 42(1): 43-71 (2007).   DOI
16 Osborne, B. G., Fearn, T. and Hindle, P. H., Practical NIR spectroscopy with applications in food and beverage analysis, Longman Scientific and Technical, Harlow (1993).
17 Bassett, K. H., Marchessault, R. H. and Liang, C. Y., The infrared spectrum of crystalline polysaccharides. IX. The near infrared spectrum of cellulose", J. Polymer Science Part A, 1(5): 1687-1692 (1963).