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- W2386738961 abstract "A study was conducted to use the conventional method to analyze the content of holocellulose, pentosan, lignin and benzene-alcohol extractive content of 104 fast-growing Eucalyptus wood samples and the near-infrared(NIR) spectra were also collected. After the original spectra were subject to multiplicative scatter correction(MSC), partial least squares(PLS) method and cross-validation were used to confirm the best factors. Based on those factors, calibration models for holocellulose, pentosan, lignin and benzene-alcohol extractive content were formulated. The independent verification showed the coefficient of determination(Rval2) for the holocellulose, pentosan, lignin and benzene-alcohol models were 0.91, 0.90, 0.95 and 0.96 respectively. The root mean square errors of prediction(RMSEP) were 0.33%, 0.50%, 0.31% and 0.17% respectively. The relative percent deviations(RPD) were 3.22, 3.20, 4.43 and 4.73 respectively. And, the absolute deviations(AD) were-0.53% ~ 0.60%,-0.95% ~ 0.77%,-0.55% ~ 0.52% and-0.22% ~ 0.29% respectively. All the calibration models met the requirements for rapid determination of wood properties of Eucalyptus based on their good predictive performance." @default.
- W2386738961 created "2016-06-24" @default.
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- W2386738961 date "2015-01-01" @default.
- W2386738961 modified "2023-09-25" @default.
- W2386738961 title "Rapid Prediction of Chemical Components in Fast-growing Eucalyptus by Near Infrared Spectroscopy" @default.
- W2386738961 hasPublicationYear "2015" @default.
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