Abstract
The ratio of biomass to plastic in wood plastic composites (WPCs) is very important for the development of WPCs. This paper investigates the feasibility of predicting the biomass and polypropylene (PP) contents in three WPC species (Chinese fir/PP, poplar/PP and bamboo/PP) using near-infrared (NIR) spectroscopy combined with partial least squares regression (PLS). Several spectra pretreatments were applied to improve the models. Compared to other methods, baseline correction data processing gave the optimal model. The results of external validation showed that the coefficient of determination (R 2), root mean square error of prediction (RMSEP) and the ratio of the standard deviation in the validation set to the RMSEP (RPD) were 0.930, 1.944 and 3.578 for biomass and 0.930, 1.958 and 3.587 for PP, respectively. It is concluded that NIR in combination with PLS is capable of reliable quantification of biomass and PP in a diversity of PP-based WPCs.
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Ahmad Fuad MY, Zaini MJ, Jamaludin M, Mohd Ishak ZA, Mohd Omar AK (1994) Determination of filler content in rice husk ash and wood-based composites by thermogravimetric analysis. J Appl Polym Sci 51(11):1875–1882
Ashori A (2008) Wood-plastic composites as promising green-composites for automotive industries. Bioresour Technol 99(11):4661–4667
Balasuriya PW, Ye L, Mai YW (2001) Mechanical properties of wood flake-polyethylene composites. Part I: effects of processing methods and matrix melt flow behavior. Compos A 32(5):619–629
Dányádi L, Renner K, Móczó J, Pukánszky B (2007) Wood flour filled polypropylene composites: interfacial adhesion and micromechanical deformations. Polym Eng Sci 47(8):1246–1255
Doublet J, Boulanger A, Ponthieux A, Laroche C, Poitrenaud M, Cacho Rivero JA (2013) Predicting the biochemical methane potential of wide range of organic substrates by near infrared spectroscopy. Bioresour Technol 128:252–258
Hayes DJM (2012) Development of near infrared spectroscopy models for the quantitative prediction of the lignocellulosic components of wet Miscanthus samples. Bioresour Technol 119:393–405
He W, Hu H (2013) Prediction of hot-water-soluble extractive, pentosan and cellulose content of various wood species using FT-NIR spectroscopy. Bioresour Technol 140:299–305
He C, Chen L, Yang Z, Huang G, Liao N, Han L (2012) A rapid and accurate method for on-line measurement of straw–coal blends using near infrared spectroscopy. Bioresour Technol 110:314–320
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). Thermochim Acta 543:165–171
Kiguchi M, Kataoka Y, Matsunaga H, Yamamoto K, Evans PD (2007) Surface deterioration of wood-flour polypropylene composites by weathering trials. J Wood Sci 53(3):234–238
Labbé N, Lee SH, Cho HW, Jeong MK, André N (2008) Enhanced discrimination and calibration of biomass NIR spectral data using non-linear kernel methods. Bioresour Technol 99(17):8445–8452
Lao W, Li G, Zhou Q, Qin T (2014) Quantitative analysis of biomass in three types of wood-plastic composites by FTIR spectroscopy. BioResources 9(4):6073–6086
Li G, Lao W, Qin T, Huang L (2014) Rapid determination of biomass and polypropylene in three types of wood plastic composites (WPCs) using FTIR spectroscopy and partial least squares regression (PLSR). Holzforschung 69(4):399–404
Lin Q, Zhou X, Dai G (2002) Effect of hydrothermal environment on moisture absorption and mechanical properties of wood flour-filled polypropylene composites. J Appl Polym Sci 85(14):2824–2832
Mankowski M, Morrell JJ (2000) Patterns of fungal attack in wood-plastic composites following exposure in soil block test. Wood Fiber Sci 32(3):340–345
Nuñez AJ, Sturm PC, Kenny JM, Aranguren MI, Marcovich NE, Reboredo MM (2003) Mechanical characterization of polypropylene-wood flour composites. J Appl Polym Sci 88(6):1420–1428
Peng X, Chen H (2008) Rapid estimation of single cell oil content of solid-state fermented mass using near-infrared spectroscopy. Bioresour Technol 99(18):8869–8872
Pohl F, Senn T (2011) A Rapid and sensitive method for the evaluation of cereal grains in bioethanol production using near infrared reflectance spectroscopy. Bioresour Technol 102(3):2834–2841
Renneckar S, Zink-Sharp AG, Ward TC, Glasser WG (2004) Compositional analysis of thermoplastic wood composites. J Appl Polym Sci 93(3):1484–1492
Rimdusit S, Wongsongyot S, Jittarom S, Suwanmala P, Tiptipakorn S (2011) Effects of gamma irradiation with and without compatibilizer on the mechanical properties of polypropylene/wood flour composites. J Polym Res 18(4):801–809
Schwanninger M, Rodrigues JC, Fackler K (2011) A Review of Band Assignments in Near Infrared Spectra of Wood and Wood Components. J Near Infrared Spectrosc 19(5):287–308
Sombatsompop N, Chaochanchaikul K, Phromchirasulk C, Thongsang S (2003) Effect of wood sawdust content on rheological and structural changes, and thermo-mechanical properties of PVC/sawdust composites. Polym Int 52(12):1847–1855
Urbano-Cuadrado M, Luque de Castro MD, Pérez-Juan PM, García-Olmoc J, Gómez-Nietod MA (2004) Near infrared reflectance spectroscopy and multivariate analysis in enology: determination or screening of fifteen parameters in different types of wines. Anal Chim Acta 527(1):81–88
Watari M, Ozaki Y (2004) Prediction of ethylene content in melt-state random and block polypropylene by near-infrared spectroscopy and chemometrics: comparison of a new calibration transfer method with a slope/bias correction method. Appl Spectrosc 58(10):1210–1218
Windt M, Meier D, Lehnen R (2011) Quantification of polypropylene (PP) in wood plastic composites (WPCs) by analytical pyrolysis (Py) and differential scanning calorimetry (DSC). Holzforschung 65(2):199–207
Xu F, Wang D (2013) Rapid determination of sugar content in corn stover hydrolysates using near infrared spectroscopy. Bioresour Technol 147:293–298
Ye XP, Liu L, Hayes D, Womac A, Hong K, Sokhansanj S (2008) Fast classification and compositional analysis of cornstover fractions using Fourier transform near-infrared techniques. Bioresour Technol 99(15):7323–7332
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This work was supported by Special Fund for Forest Scientific Research in the Public Welfare (201204802-2) from State Forestry Administration of the People’s Republic of China.
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Gaiyun Li and Wanli Lao have contributed equally to this work and should be regarded as co-first authors.
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Li, G., Lao, W., Zou, X. et al. Use of near-infrared spectroscopy for prediction of biomass and polypropylene in wood plastic composites. Wood Sci Technol 50, 705–714 (2016). https://doi.org/10.1007/s00226-016-0799-z
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DOI: https://doi.org/10.1007/s00226-016-0799-z