Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR

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C. Zhou, W. Jiang, B. K. Via, O. Fasina, and G. Han, “Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR,” Carbohydrate Polymers, vol. 121, pp. 336–341, May 2015.

Type Journal Article
Author Chengfeng Zhou
Author Wei Jiang
Author Brian K. Via
Author Oladiran Fasina
Author Guangting Han
URL http://www.sciencedirect.com/science/article/pii/S0144861714012053
Volume 121
Pages 336-341
Publication Carbohydrate Polymers
ISSN 0144-8617
Date May 5, 2015
Journal Abbr Carbohydrate Polymers
DOI 10.1016/j.carbpol.2014.11.062
Abstract Abstract This study used Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy and Fourier transform near-infrared (FT-NIR) spectroscopy with principal component regression (PCR) and partial least squares regression (PLS) to build hardwood prediction models. Wet chemistry analysis coupled with high performance liquid chromatography (HPLC) was employed to obtain the chemical composition of these samples. Spectra loadings were studied to identify key wavenumber in the prediction of chemical composition. NIR–PLS and FTIR–PLS performed the best for extractives, lignin and xylose, whose residual predictive deviation (RPD) values were all over 3 and indicates the potential for either instrument to provide superior prediction models with NIR performing slightly better. During testing, it was found that more accurate determination of holocellulose content was possible when HPLC was used. Independent chemometric models, for FT-NIR and ATR-FTIR, identified similar functional groups responsible for the prediction of chemical composition and suggested that coupling the two techniques could strengthen interpretation and prediction.


Keywords:

 

  • Chemical composition
  • Forecasting
  • Hemicellulose
  • Lignins
  • Polymers
  • Process control
  • Raw materials
  • Renewable energy
  • Volatile compounds
  • Water vapor

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