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Rapid determination of high heating value and elemental compositions of sorghum biomass using near-infrared spectroscopy

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2015 ASABE Annual International Meeting  152184984.(doi:10.13031/aim.20152184984)
Authors:   Ke Zhang, Ling Zhou, Michael Brady, Feng Xu, Jianming Yu, Donghai Wang
Keywords:   sorghum; heating value; elemental composition analysis; near-infrared; chemometric analysis

Abstract. Near-infrared spectroscopy (NIR) is an efficient, low-cost sensing technology that has potential as an accurate biomass characterization method. The objective of this study was to develop NIR models in conjunction with chemometrics to determine high heating value (HHV) and elemental compositions of sorghum biomass. Partial least squares regression and principle component regression were used to develop calibration models with full and reduced wavelength regions. In general, models from reduced wavelength regions yielded higher calibration and prediction accuracies. Models to predict HHV, carbon, hydrogen, nitrogen, sulfur, and oxygen contents of sorghum biomass were well developed. HHV value, carbon, hydrogen, nitrogen, sulfur, and oxygen contents were predicted with R2 of 0.96, 0.96, 0.87, 0.86, 0.84, and 0.83 for validation sample sets, respectively. HHV and carbon content prediction models had excellent prediction accuracy, whereas hydrogen, nitrogen, sulfur and oxygen models could be usable with caution in most application such as research study.

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