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Analysis of classification characteristics of Americas copy paper using the infrared spectroscopy and principal component analysis
Journal of the Korean Data & Information Science Society 2021;32:1195-204
Published online November 30, 2021;  https://doi.org/10.7465/jkdi.2021.32.6.1195
© 2021 Korean Data and Information Science Society.

Kwang-Ho Kang1 · Jinho Kim2 · Kang-Jae Kim3

1RnD Team, HP Printing Korea
2Major in Wood and Paper Science, School of Forestry, Sciences and Landscape Architecture, Kyungpook National University
3Major in Wood and Paper Science, School of Forestry, Sciences and Landscape Architecture & Agricultural Science and Technology Research Institute, Kyungpook National University
Correspondence to: 1 Expert engineer, RnD Team, HP Printing Korea, Seongnam 13529, Korea.
2 Graduate student, Major in Wood and Paper Science, School of Forestry, Sciences and Landscape Architecture, Kyungpook National University, Daegu 41566, Korea.
3 Corresponding author: Assistant professor, Major in Wood and Paper Science, School of Forestry, Sciences and Landscape Architecture, Kyungpook National University, Daegu 41566, Korea. E-mail: jaeya0624@knu.ac.kr
This study was carried out with the support of HP Printing Korea and ’R&D Program for Forest Science Technology (Project No. FTIS-2019149A00-2123-0301)’ provided by Korea Forest Service (Korea Forestry Promotion Institute).
Received October 6, 2021; Revised October 25, 2021; Accepted October 28, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this study, infrared spectroscopy and chemometrics were applied to analyze the classification of unknown copy papers according to the manufacturing country, manufacturer, and raw material characteristics. Generally, using infrared spectroscopy could be obtained the fragmentary information on the polymer and chemical additives of copy paper. However, additional information of copy paper could be obtained with the classification of the different kinds of raw materials and chemical additives applying the principal component analysis (PCA) which is one of the chemometrics. In particular, it was confirmed that the copy papers could be obviously classified by the slight differences of infra-red (IR) spectrum depending on the contents, types, and mixing ratio of different pulp when applied the PCA with the Savitzky-Golay smoothing filter capable of the second differential.
Keywords : Copy paper, Infrared spectroscopy, principal component analysis, Savitzky-Golay algorithm.