| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 231.92 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Aim of the study: The ability of NIR spectroscopy for predicting the ISO brightness was studied on unbleached Kraft pulps of
Acacia melanoxylon R. Br.
Area of study: Sites covering littoral north, mid interior north and centre interior of Portugal.
Materials and methods: The samples were Kraft pulped in standard identical conditions targeted to a kappa number of 15. A
Near Infrared (NIR) partial least squares regression (PLSR) model was developed for the ISO brightness prediction using 75 pulp
samples with a variation range of 18.9 to 47.9 %.
Main results: Very good correlations between NIR spectra and ISO brightness were obtained. Ten methods were used for PLS
analysis (cross validation with 48 samples), and a test set validation was made with 27 samples. The 1stDer pre-processed spectra
coupling two wavenumber ranges from 9404 to 7498 cm-1 and 4605 to 4243 cm-1 allowed the best model with a root mean square
error of ISO brightness prediction of 0.5 % (RMSEP), a r2 of 99.5 % with a RPD of 14.7.
Research highlights: According to AACC Method 39-00, the present model is sufficiently accurate to be used for process control
(RPD ≥ 8)
Description
Keywords
Acacia melanoxylon unbleached kraft pulps ISO brightness NIR RPD
Pedagogical Context
Citation
Santos, A.J.A., Anjos, O., Pereira, H. (2015). Estimation of Acacia melanoxylon unbleached Kraft pulp brightness by NIR spectroscopy. Forest Systems, Volume 24, Issue 2, eRC03, 6 pages
Publisher
INIA