近红外光谱快速预测乙酰化木材的增重率

doi:10.11707/j.1001-7488.20140917

Abstract

Abstract:

Near infrared(NIR) spectroscopy technique was applied to predict weigh percentage gain (WPG) of acetylated Populus ussuriensis wood and Pinus sylvestris var. mongolica wood. In the region of 780-2 500 nm, partial least squares (PLS) was used to build models of WPG of acetylated wood based on raw spectra of wood transverse section and pretreated spectra, including first derivative spectra, second derivative spectra, standard normalized variate spectra and noise spectra. The results showed that the PLS models of WPG of acetylated P. ussuriensis wood and Pinus sylvestris var. mongolica wood, based on standard normalized variate spectra and noise spectra, gave the strongest correlations, with correlation coefficient (R) of 0.90 and 0.70 and root mean standard error of prediction (RMSEP) of 1.0072 and 1.3012 in prediction set. The relation between NIR predicted and WPG actual values of acetylated P. ussuriensis wood was much better than that of acetylated Pinus sylvestris var. mongolica wood. Therefore, it is concluded that WPG of acetylated wood can be estimated by NIR spectroscopy with sufficient accuracy.

Key words: near infrared spectroscopy, acetylation, Populus ussuriensis, Pinus sylvestris var. mongolica, weight percentage gain

CLC Number:

TS102.2

Chai Yubo, Sun Bailing, Liu Junliang, Qin Tefu, Chu Fuxiang. Rapid Prediction of the Weight Percentage Gain of Acetylated Wood Using Near Infrared Spectroscopy[J]. Scientia Silvae Sinicae, 2014, 50(9): 124-128.

References

王晓旭, 黄安民, 杨忠,等.2011. 近红外光谱用于杉木木材强度分等的研究. 光谱学与光谱分析, 31(4): 975-978.
(Wang X X, Huang A M, Yang Z, et al. 2011. Study on the wood grading by near infrared spectroscopy. Spectroscopy and Spectral Analysis, 31(4): 975-978. [in Chinese] )
赵荣军, 霍小梅, 上官蔚蔚,等.2011. 近红外光谱法预测粗皮桉木材气干密度的影响因素分析. 光谱学与光谱分析, 31(11): 2948-2951.
(Zhao R J, Huo X M, Shangguan W W, et al. 2011. Influence factor for prediction of air-dry density of Eucalyptus pellita by near infrared spectroscopy. Spectroscopy and Spectral Analysis, 31(11): 2948-2951. [in Chinese] )
赵荣军, 霍小梅, 张黎.2009. 利用近红外光谱技术预测粗皮桉木材弹性模量. 光谱学与光谱分析, 29(9): 2392-2395.
(Zhao R J, Huo X M, Zhang L. 2009. Estimation of modulus of elasticity of Eucalyptus pellita wood by near in frared spectroscopy. Spectroscopy and Spectral Analysis, 29(9): 2392-2395. [in Chinese] )
Celen I, Harper D, Labbe N. 2008. A multivariate approach to the acetylated poplar wood samples by near infrared spectroscopy. Holzforschung, 62(2): 189-196.
Chang H T, Chang S T. 2002. Moisture excluding efficiency and dimensional stability of wood improved by acetylation. Bioresour Technol, 85(2): 201-204.
Curran P J. 1989. Remote sensing of foliar chemistry. Remote Sens Environ, 30(3): 271-278.
Hageman J A, Westerhuis J A, Smilde A K. 2005. Temperature robust multivariate calibration: an overview of methods for dealing with temperature influences on near infrared spectra. J Near Infrared Spectrosc, 13(1): 53-62.
Hill C A S, Cetin N S. 2000. Surface activation of wood for graft polymerization. Int J Adhesion Adhes, 20(1): 71-76.
Hill C A S. 2008. The reduction in the fibre saturation point of wood due to chemical modification using anhydride reagents: a reappraisal. Holzforschung, 62(4): 423-428.
Hill, C A S, Curling, S, Kwon, J H, et al. 2009. Decay resistance of acetylated and hexanoylated hardwood and softwood species exposed to Coniophora puteana. Holzforschung, 63 (5): 619-625.
Kelley S S, Rials T G, Snell R, et al. 2004. Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol, 38(4): 257-276.
Kumar S. 1994. Chemical modification of wood. Wood Fiber Sci, 26(2): 270-280.
Lande S, Riel S, Schneider M H. 2010. Development of chemometric models based on near infrared spectroscopy and thermogravimetric analysis for predicting the treatment level of furfurylated Scots pine. Wood Sci Technol, 44(2): 189-203.
Larsson P, Simonson R. 1994. A study of strength, hardness and deformation of acetylated Scandinavian softwoods. Holz als Roh-und Werkstoff, 52(2): 83-86.
Obataya E, Yamauchi H. 2005. Compression behaviors of acetylated wood in organic liquids. Part Ⅱ. Drying-set and its recovery. Wood Sci Technol, 39(7): 546-559.
Popescu, C M, Hill, C A S, Curling, S, et al.2014. The water vapour sorption behaviour of acetylated birch wood: how acetylation affects the sorption isotherm and accessible hydroxyl content. Journal of Materials Science, 49(5): 2362-2371.
Pu Y, Ragauskas A J, Lucia L A, et al. 2008. Near-infrared spectroscopy and chemometric analysis for determining oxygen delignification yield. J Wood Chem Technol, 28(2): 122-136.
Ramsden M J, Blake F S R, Fey N J. 1997. The effect of acetylation on the mechanical properties, hydrophobicity, and dimensional stability of Pinus sylvestris. Wood Sci Technol, 31(2): 97-104.
Stefke B, Windeisen E, Schwanninger M, et al. 2008. Determination of the weight percentage gain and of the acetyl group content of acetylated wood by means of different infrared spectroscopic methods. Anal Chem, 80(4): 1272-1279.

[1]	Guo Hongwu, Liu Yi, Fu Zhan, Hu Jihang, Zhang Fan. Effect of Acetylation Treatment on Light Fastness and Thermal Stability of Pinus sylvestris var.mongolica Wood [J]. Scientia Silvae Sinicae, 2015, 51(6): 135-140.
[2]	Wang Xueshun;Qi Dawei;Huang Anmin. Denoising of Near Infrared Spectroscopy in Wood Based on Wavelet Transform Modulus Maximum [J]. Scientia Silvae Sinicae, 2008, 44(10): 109-112.
[3]	Jiang Zehui;Yang Zhong;Wang Ge;Yu Yan. Correlation between Near Infrared Spectroscopy and the Crystallinity of Slash Pine Wood [J]. Scientia Silvae Sinicae, 2007, 43(10): 95-99.
[4]	Zhu Jiaqi. RESEARCH AND DEVELOPMENT OF WOOD ACETYLATION [J]. , 1994, 30(3): 272-279.

Rapid Prediction of the Weight Percentage Gain of Acetylated Wood Using Near Infrared Spectroscopy

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