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• W2088756841 abstract "Abstract Fourier transform near infrared (FT-NIR) associated with multivariate analysis was used to estimate glucan, xylan, 4-O-Methyl-α -D-glucuronic acid (MeGlcA) content, and pulp yield in kraft pulps of Eucalyptus globulus Labill. Several models were applied to correlate chemical composition in samples with the NIR spectral data by means of principal components regression (PCR) or partial least square (PLS) algorithms. Calibration models were built and validated by using all the spectral data and cross-validation methodology. The rc 2 values for the best calibration models for quantification of glucan, xylan, MeGlcA contents and pulp yield were between 0.71–0.92. The model was validated using a set of external samples. The amount of glucan (64–77%), xylan (12–18%), and MeGlcA (204–363 mmol kg pulp–1) in pulps were predicted with a root mean square error of prediction (RMSEP) of 0.91%, 0.46%, and 15.21% for glucan, xylan, and MeGlcA, respectively. Pulp yield (in the range of 46–70%) was also predicted ..." @default.
• W2088756841 created "2016-06-24" @default.
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• W2088756841 date "2009-05-08" @default.
• W2088756841 modified "2023-09-26" @default.
• W2088756841 title "Estimating Glucan, Xylan, and Methylglucuronic Acids in Kraft Pulps ofEucalyptus globulusUsing FT-NIR Spectroscopy and Multivariate Analysis" @default.
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• W2088756841 doi "https://doi.org/10.1080/02773810902879017" @default.
• W2088756841 hasPublicationYear "2009" @default.
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