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http://dx.doi.org/10.5658/WOOD.2016.44.6.852

Study on Rapid Measurement of Wood Powder Concentration of Wood-Plastic Composites using FT-NIR and FT-IR Spectroscopy Techniques  

Cho, Byoung-kwan (Department of Bio-systems Machinery Engineering, Chungnam National University)
Lohoumi, Santosh (Department of Bio-systems Machinery Engineering, Chungnam National University)
Choi, Chul (Department of Bio-based Materials, Chungnam National University)
Yang, Seong-min (Department of Bio-based Materials, Chungnam National University)
Kang, Seog-goo (Department of Bio-based Materials, Chungnam National University)
Publication Information
Journal of the Korean Wood Science and Technology / v.44, no.6, 2016 , pp. 852-863 More about this Journal
Abstract
Wood-plastic composite (WPC) is a promising and sustainable material, and refers to a combination of wood and plastic along with some binding (adhesive) materials. In comparison to pure wood material, WPCs are in general have advantages of being cost effective, high durability, moisture resistance, and microbial resistance. The properties of WPCs come directly from the concentration of different components in composite; such as wood flour concentration directly affect mechanical and physical properties of WPCs. In this study, wood powder concentration in WPC was determined by Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopy. The reflectance spectra from WPC in both powdered and tableted form with five different concentrations of wood powder were collected and preprocessed to remove noise caused by several factors. To correlate the collected spectra with wood powder concentration, multivariate calibration method of partial least squares (PLS) was applied. During validation with an independent set of samples, good correlations with reference values were demonstrated for both FT-NIR and FT-IR data sets. In addition, high coefficient of determination (${R^2}_p$) and lower standard error of prediction (SEP) was yielded for tableted WPC than powdered WPC. The combination of FT-NIR and FT-IR spectral region was also studied. The results presented here showed that the use of both zones improved the determination accuracy for powdered WPC; however, no improvement in prediction result was achieved for tableted WPCs. The results obtained suggest that these spectroscopic techniques are a useful tool for fast and nondestructive determination of wood concentration in WPCs and have potential to replace conventional methods.
Keywords
wood plastic composite; wood powder; fourier transform near-infrared and infrared spectroscopy; partial least-squares regression;
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1 Wojciak, A., Kasprzyk, H., Sikorska, E., Krawczyk, A., Sikorski, M., Weselucha-Birczynska, A. 2014. FT-Raman, FT-infrared and NIR spectroscopic characterization of oxygen-delignified kraft pulp treated with hydrogen peroxide under acidic and alkaline conditions. Vibrational Spectroscopy 71: 62-69.   DOI
2 Ashori, A. 2008. Wood-plastic composites as promising green-composites for automotive industries. Bioresource Technology 99: 4661-4667.   DOI
3 Brown, C.D., Montoto, L.V., Wentzell, P.D. 2000. Derivative preprocessing and optimal correction for baseline drift in multivariate calibration. Applied Spectroscopy 54(7): 1055-1068.   DOI
4 Chen, Y., Stark, N.M., Tahabalala, M.A., Gao, J., Fan, Y. 2016. Weathering characteristics of wood plastic composites reinforced with extracted or delignified wood flour. Materials 9(610): 2-12.
5 Esquerre, C. Gowen, A.A., Burger, J., Downey, G., O'Donnel, C.P. 2012. Chemometrics and Intelligent Laboratory Systems 117: 129-137.   DOI
6 Fearn, T., Riccioli, C., Varo A.G., Ginel, J.E.G. 2009. On the geometry of SNV and MSC. Chemometrics and Intelligent Laboratory Systems 96: 22-26.   DOI
7 Jeske, H., Schirp, A., Cornelius, F. 2012. Development of a thermogravimetric analysis (TGA) method for quantitative analysis of wood flour and polypropylene in wood plastic composites (WPC). Thermochimica acta 543: 165-171.   DOI
8 Kallavus, U., Karner, K., Karner, K., Elomaa, M. 2015. Rapid semi quantitative determination of aspen lignin in lignocellulosic products. Polymer Science 64: 105-112.
9 Kandpal, L.M., Lohumi, S., Kim, M.S., Kang, J.S., Cho, B.K. 2016. Near infrared hyperspectral imaging system coupled with multivariate methods to predict viability and vigor in muskmelon seeds. Sensors and Actuators B: Chemical 229: 534-544.   DOI
10 Kresta, J.V., Marlin, T.E., Macgregor, J.F. 1994. Development of inferential process models using PLS. Computers & Chemical Engineering 18: 597-611.   DOI
11 Rowell, R.M. 2012. Handbook of wood chemistry and wood composites, second edition, Taylor & Francis Group, 6000 Broken Sound Parkway NW.
12 Li, X., Sun, C., Zhou, B., He, Y. 2015. Determination of hemicellulose, cellulose and lignin in Maso bamboo by near infrared spectroscopy. Scientific Reports 5: 1-11.   DOI
13 Lohumi, S., Lee, S., Lee, H., Cho, B.K. 2015. A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration. Trends in Food Science & Technology 46: 85-98.   DOI
14 Osborne, B.G., Fearn, T., Hindle, P.T. 1993. Practical NIR spectroscopy with applications in food and beverage analysis (2nd ed.). Singapore: Longman Scientific and Technical.
15 Osborne, B.G., Fearn, T. 1986. Near infrared spectroscopy in food analysis. Longman.
16 Pilarski, J.M., Matuana, L.M. 2005. Durability of wood flour-plastic composites exposed to accelerated freeze- thaw cycling. Part I. Rigid PVC matrix. Journal of Vinyl and Additive Technology 11(1): 1-8.   DOI
17 Renneckar, S., Zink-Sharp, A.G., Ward, T.C., Glasser, W.G. 2004. Compositional analysis of thermoplastic wood composites by TGA. Journal of applied polymer science 93(3): 1484-1492.   DOI
18 Lee, C.H., Wu, T.L., Chen, Y.L., Wu, J.H. 2010. Characterization and discrimination of five types of wood-plastic composites by FT-IR spectroscopy combined with principal component analysis. Holzforschung 64: 699-704.
19 Stark, N.M., Matuana, L.M. 2007. Characterization of weathered wood-plastic composite surfaces using FT-IR spectroscopy, contact angle, and XPS. Polym. Degrad. Stab. 92: 1883-1890.   DOI
20 Wold, S., Sjostrom, M., Eriksson, L. 2001. PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems 58: 109-130.   DOI