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

Kang-Jae Kim; Tae-Jin Eom

doi:10.7584/ktappi.2016.48.1.034

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Classification of papers using IR and NIR spectra and principal component analysis IR 및 NIR 스펙트럼과 주성분 분석을 통한 지종의 분류

28 February 2016. pp. 34-42

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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

References

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Information

Publisher :Korea Technical Association of The Pulp and Paper Industry
Publisher(Ko) :한국펄프종이공학회
Journal Title :Journal of Korea TAPPI
Journal Title(Ko) :펄프종이기술
Volume : 48
No :1
Pages :34-42
Received Date : 2016-01-08
Revised Date : 2016-02-01
Accepted Date : 2016-02-04
DOI :https://doi.org/10.7584/ktappi.2016.48.1.034

Journal of Korea TAPPI ISSN:0253-3200(Print) 펄프종이기술

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Literature Cited