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

Kang Jae Kim, Tae Jin Eom

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)34-42
Number of pages9
JournalPalpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry
Volume48
Issue number1
DOIs
StatePublished - Feb 2016

Keywords

  • ATR
  • Chemometrics
  • Classification
  • Multivariate analysis
  • NIR
  • Principal component analysis (PCA)

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