Journal
FUEL
Volume 88, Issue 1, Pages 163-168Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2008.07.031
Keywords
Near infrared reflectance spectroscopy; Straw; Minerals; Prediction
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The use of near infrared reflectance spectroscopy (NIRS) to predict minerals concentration (K, Na, Ca, Mg, Fe) in straw samples was investigated in this study. A total of 222 straw samples were collected in rural area of most provinces in China. Two types of straw samples were prepared, directly cut specimens and oven-dried, milled specimens. The spectra of two kinds of samples were employed to correlate with minerals concentration. Different spectral pre-treatments and regression methods were trialled to optimize the calibration. Coefficient of determination in prediction (R-v(2)) and standard error of prediction (SEP) were 0.69, 0.54. 0.73, 0.79, 0.41 and 3.77 mg g(-1), 0.69 mg g(-1), 0.58 mg g(-1), 0.31 mg g(-1), 0.11 mg g(-1) for directly cut straw; 0.85, 0.70. 0.82, 0.85, 0.63 and 2.35 mg g(-1), 1.46 mg g(-1), 0.47 mg g(-1), 0.27 mg g(-1), 0.13 mg g(-1) for dried milled samples, respectively. (c) 2008 Elsevier Ltd. All rights reserved.
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