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Development of near-infrared spectroscopy models for quantitative determination of cellulose and hemicellulose contents of big bluestem

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  • Zhang, Ke
  • Xu, Youjie
  • Johnson, Loretta
  • Yuan, Wenqiao
  • Pei, Zhijian
  • Wang, Donghai

Abstract

Big bluestem is a dominant warm-season perennial native grass that has underutilized potential as a bioenergy crop. The objective of this study was to leverage a high-throughput, cost-effective phenotype of cellulose and hemicellulose contents in big bluestem biomass using near-infrared (NIR) spectroscopy to facilitate plant breeding and genetics studies. In order to develop NIR prediction models, a set of 56 big bluestem samples with seven genotypes from four planting locations in 2010 and 2011 were analyzed according to traditional wet chemical methods. Advanced multivariate analysis techniques and NIR spectroscopy improved the prediction models based on value of the coefficient of determination (R2). Partial least squares proved to be a better quantitative method than principal component regression based on larger R2, ratio of standard error of prediction set to sample standard deviation (RPD), and root mean square error of prediction (RMSEP) when developing NIR prediction models. The spectral range from 4000 to 7500 cm−1 with the first derivative treatment yielded a better prediction model than full range, with R2 of 0.92, RMSEP of 0.67%, and RPD of 4.52 in the validation sample set for cellulose and R2 of 0.91, RMSEP of 0.72%, and RPD of 3.12 for hemicellulose. These models provide good insight into the relationship between chemical bonds and structure sugars of big bluestem, allowing a rapid and accurate determination of cellulose and hemicellulose contents at low cost.

Suggested Citation

  • Zhang, Ke & Xu, Youjie & Johnson, Loretta & Yuan, Wenqiao & Pei, Zhijian & Wang, Donghai, 2017. "Development of near-infrared spectroscopy models for quantitative determination of cellulose and hemicellulose contents of big bluestem," Renewable Energy, Elsevier, vol. 109(C), pages 101-109.
    • Handle: RePEc:eee:renene:v:109:y:2017:i:c:p:101-109
    DOI: 10.1016/j.renene.2017.03.020
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    References listed on IDEAS

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    1. Xu, Feng & Yu, Jianming & Tesso, Tesfaye & Dowell, Floyd & Wang, Donghai, 2013. "Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review," Applied Energy, Elsevier, vol. 104(C), pages 801-809.
    2. Zhang, Ke & Johnson, Loretta & Vara Prasad, P.V. & Pei, Zhijian & Wang, Donghai, 2015. "Big bluestem as a bioenergy crop: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 740-756.
    3. Kim, Tae Hoon & Kim, Tae Hyun, 2014. "Overview of technical barriers and implementation of cellulosic ethanol in the U.S," Energy, Elsevier, vol. 66(C), pages 13-19.
    4. Zhang, Ke & Johnson, Loretta & Nelson, Richard & Yuan, Wenqiao & Pei, Zhijian & Sun, Xiuzhi S. & Wang, Donghai, 2014. "Thermal properties of big bluestem as affected by ecotype and planting location along the precipitation gradient of the Great Plains," Energy, Elsevier, vol. 64(C), pages 164-171.
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