PREDICTION OF WOOD FIBER LENGTH BASED ON NEAR INFRARED SPECTROSCOPY FOR BALSAM FIR AND BLACK SPRUCE

摘要：

In this study, calibration and prediction models for wood fiber length were developed using near infrared (NIR) spectral data for balsam fir (Abies babamea) and black spruce (Picea mariana) samples collected in Eastern Canada. The calibration was performed against the average fiber length of each position (juvenile, transition and mature) determined by FQA. Calibration/correlation models were developed using NIR spectra collected from radial longitudinal surface of oven-dried and green wood samples, respectively. The statistic analyses showed that the fiber length can be predicted using the NIR spectra collected from either oven-dried or green wood samples. The coefficients of determination ranged from 0.82 (using spectra from oven-dried wood samples) to 0.75 (using spectra from green wood samples). NIR spectra collected from oven-dried wood samples gave better calibration and prediction statistics. The calibrations/correlations developed for each single species and the combined species were also compared. It was found that predictions for single species gave better results than the combined species.

关键词： wood fiber length prediction near infrared spectroscopy Balsam fir Black spruce

作者: Qinghua Xu Liping Tan Yonghao Ni

作者单位: Key Laboratory of Pulp and Paper Engineering,Ministry of Education of China, Shandong Institute of L Key Laboratory of Pulp and Paper Engineering,Ministry of Education of China, Shandong Institute of L Limerick Pulp and Paper Centre, University of New Brunswick, Fredericton, New Brunswick, Canada E3B5

会议类型: 国际会议

会议名称: 16th International Symposium on Wood,Fiber and Pulping Chemistry(第十六届木材、纤维及制浆化学国际会议)

会议地点: 天津

会议语种:英文

页码: 38-42

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）