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Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment

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  • Jeong, So-Yeon
  • Lee, Eun-Ju
  • Ban, Se-Eun
  • Lee, Jae-Won

Abstract

Herein, near infrared (NIR) spectroscopy, rapid, accurate, and non-destructive method, was employed to analyze biomass composition. Calibration and prediction models for various types of biomass were developed from NIR data by applying the partial least squares method. Cellulose, hemicellulose, and lignin in a total of 75 samples were analyzed by a wet chemical method and NIR spectroscopy. The NIR model developed for hardwood accurately predicted the lignin content with a particle size of 20–80 mesh with a correlation coefficient (R2) of >0.95, low root mean square error (0.68), high ratio of error range (22.23), and high residual predictive deviation (6.07). On the other hand, the models for other compositions exhibited relatively low prediction accuracy. Different biomass particle sizes (20–80 mesh, >40 mesh, and <40 mesh) led to statistically significant differences in NIR spectra based on the root mean square value. Although preprocessing (via smoothing, first and second derivatives) was performed to improve the prediction accuracy and reduce differences based on biomass particle size, a significant improvement was not achieved.

Suggested Citation

  • Jeong, So-Yeon & Lee, Eun-Ju & Ban, Se-Eun & Lee, Jae-Won, 2021. "Near infrared spectroscopy model for analyzing chemical composition of biomass subjected to Fenton oxidation and hydrothermal treatment," Renewable Energy, Elsevier, vol. 172(C), pages 1341-1350.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:1341-1350
    DOI: 10.1016/j.renene.2020.12.020
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    References listed on IDEAS

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    1. Xue, Junjie & Yang, Zengling & Han, Lujia & Liu, Yuchen & Liu, Yao & Zhou, Chengcheng, 2015. "On-line measurement of proximates and lignocellulose components of corn stover using NIRS," Applied Energy, Elsevier, vol. 137(C), pages 18-25.
    2. José Luis Fernández & Felicia Sáez & Eulogio Castro & Paloma Manzanares & Mercedes Ballesteros & María José Negro, 2019. "Determination of the Lignocellulosic Components of Olive Tree Pruning Biomass by Near Infrared Spectroscopy," Energies, MDPI, vol. 12(13), pages 1-10, June.
    3. Sirisomboon, Panmanas & Funke, Axel & Posom, Jetsada, 2020. "Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition," Renewable Energy, Elsevier, vol. 147(P1), pages 1921-1931.
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