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Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy

Beurteilung physikalischer und mechanischer Eigenschaften von agro-basierten Spanplatten mittels Nahinfrarot-Spektroskopie

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Abstract

Partial least square regression (PLS-R) calibrations based on near infrared (NIR) spectroscopic data were developed in order to predict mechanical and physical properties of agro-based particleboards. The panels were manufactured using Eucalyptus and Pinus wood particles and sugar cane bagasse. The following panel properties were evaluated according to standard methods: modulus of elasticity (MOE), modulus of rupture (MOR), internal bonding (IB) strength, water absorption (WA24H), and thickness swelling (TS24H) after 24 hours of immersion. NIR spectra information was measured on samples cut from each particleboard and correlated with their physical and mechanical properties by PLS-R to build predictive NIR models. The NIR models for IB, WA24H and TS24H presented satisfactory coefficient of determination (0.73; 0.72 and 0.75, respectively.) The key role of resins (adhesives), cellulose, and lignin for NIRS calibrations of mechanical and physical properties of the particleboards is shown. These models can be useful to quickly verify such properties in unknown agro-based particleboards.

Zusammenfassung

Partial Least Square Regression (PLS-R) Kalibrierungen auf der Grundlage von nahinfrarot- (NIR)-spektroskopischen Daten wurden zur Bestimmung der mechanischen und physikalischen Eigenschaften von agro-basierten Spanplatten entwickelt. Die Platten wurden aus Eukalyptus- und Kiefernholz- und Bagassespänen hergestellt. Die folgenden Eigenschaften wurden mittels Standardprüfverfahren beurteilt: Elastizitätsmodul (MOE), Biegefestigkeit (MOR), Querzugfestigkeit (IB), Wasseraufnahme (WA24H) und Dickenquellung (TS24H) nach 24-stündiger Wasserlagerung. NIR-Spektren wurden an Proben aus jeder Spanplatte gemessen und mit den mittels PLS-R bestimmten physikalischen und mechanischen Eigenschaften korreliert, um daraus NIR-Modelle zu entwickeln. Die NIR-Modelle für IB, WA24H und TS24H ergaben zufrieden stellende Bestimmtheitsmaße (0,73, 0,72 bzw. 0,75). Aufgezeigt wurde die Schlüsselrolle der Harze, Zellulose und Lignin für die NIRS-Kalibrierung der mechanischen und physikalischen Eigenschaften von Spanplatten. Diese Modelle können sich zur schnellen Überprüfung dieser Eigenschaften von agro-basierten Spanplatten als nützlich erweisen.

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References

  • Adedipe OE, Dawson-Andoh B (2008) Predicting moisture content of yellow-poplar (Liriodendron tulipifera L) veneer using near infrared spectroscopy. For Prod J 58:28–33

    CAS  Google Scholar 

  • American Association of Cereal Chemists (1999) AACC, Method 39-00, 15

  • American society for testing and materials (1982) ASTM, D 1037. Standard methods of evaluating properties of wood-base fiber and particles materials. Annual Book of the ASTM Standards. Philadelphia, PA, USA

  • Ashori A, Nourbakhsh A (2008) Effect of press cycle time and resin content on physical and mechanical properties of particleboard panels made from the underutilized low-quality raw materials. Ind Crops Prod 28:225–230

    Article  CAS  Google Scholar 

  • Burns D, Ciurczak EW (2001) Handbook of near-infrared analysis, 2nd edn. Dekker, New York

    Google Scholar 

  • Campos ACM, Hein PRG, Mendes RF, Mendes LM, Chaix G (2009) Near infrared spectroscopy to evaluate composition of agro-based particleboards. BioResources 4(3):1058–1069

    CAS  Google Scholar 

  • Delwiche SR, Reeves JB III (2004) The effect of spectral pretreatments on the PLS modelling of agricultural products. J Near Infrared Spectrosc 12:177–182

    Article  CAS  Google Scholar 

  • Dessipri E, Minopoulou E, Chryssikos GD, Gionis V, Paipetis A, Panayiotou C (2003) Use of FT-NIR spectroscopy for on-line monitoring of formaldehyde-based resin synthesis. Eur Polym J 39:1533–1540

    Article  CAS  Google Scholar 

  • Dolezel-Horvath E, Hutter T, Kessler R, Wimmer R (2005) Feedback and feedforward control of wet-processed hardboard production using spectroscopy and chemometric modelling. New challenges for a maturing science. Anal Chim Acta 544:47–59

    Article  Google Scholar 

  • Fujimoto T, Kurata Y, Matsumoto K, Tsuchikawa S (2008) Application of near infrared spectroscopy for estimating wood mechanical properties of small clear and full length lumber specimens. J Near Infrared Spectrosc 16:529–537

    Article  CAS  Google Scholar 

  • Gierlinger N, Schwanninger M, Wimmer R (2004) Characteristics and classification of Fourier-transform near infrared spectra of the heartwood of different larch species (Larix sp.). J Near Infrared Spectrosc 12:113–119

    Article  CAS  Google Scholar 

  • Guntekin E, Karakus B (2008) Feasibility of using eggplant (Solanum melongena) stalks in the production of experimental particleboard. Ind Crops Prod 27:354–358

    Article  CAS  Google Scholar 

  • Hein PRG, Sá VA, Bufalino L, Mendes LM (2009a) Calibrations based on near infrared spectroscopic data to estimate wood-cement panel properties. BioResources 4(4):1620–1634

    CAS  Google Scholar 

  • Hein PRG, Lima JT, Chaix G (2009b) Robustness of models based on near infrared spectra to predict the basic density in Eucalyptus urophylla wood. J Near Infrared Spectrosc 17(3):141–150

    Article  CAS  Google Scholar 

  • Jones PD, Schimleck LR, Daniels RD, Clark A, Purnell RC (2008) Comparison of Pinus taeda L. whole-tree wood property calibrations using diffuse reflectance near infrared spectra obtained using a variety of sampling options. Wood Sci Technol 42:385–400

    Article  CAS  Google Scholar 

  • Kelley SS, Elder T, Groom LH (2005) Changes in the chemical composition and spectroscopy of loblolly pine medium density fiberboard furnish as a function of age and refining pressure. Wood Fiber Sci 37:14–22

    CAS  Google Scholar 

  • Kelly MW (1977) A critical literature review of relation particles between processing parameters and physical properties of particleboard. US Forest Products Laboratory, Madison

  • Kent SM, Leichti RJ, Morrell JJ, Rosowsky DV, Kelley SS (2006) Analytical tools to predict changes in properties of oriented strandboard exposed to the fungus Postia placenta. Holzforschung 60:332–338

    Article  CAS  Google Scholar 

  • Kniest C (1992) Characteristic of urea resined wood particles by NIR spectroscopy. Holz Roh Werkst 50:73–78

    CAS  Google Scholar 

  • Körner S, Niemz P, Wienhaus O, Henke R (1992) Orientating tests for detecting the glue portion/wood particles ratio by means of FTIR-spectroscopy. Holz Roh Werkst 50:67–72

    Google Scholar 

  • Maloney TM (1993) Modern particleboard and dry-process fiberboard manufacturing, 2nd edn. Freeman, San Francisco

    Google Scholar 

  • Meder R, Thumm A, Bier H (2002) Veneer stiffness predicted by NIR spectroscopy calibrated using mini-LVL test panels. Holz Roh Werkst 60:159–164

    Article  Google Scholar 

  • Minopoulou E, Dessipri E, Chryssikos GD, Gionis V, Paipetis A, Panayiotou C (2003) Use of NIR for structural characterization of urea-formaldehyde resins. Int J Adhes Adhes 23(6):473–484

    Article  CAS  Google Scholar 

  • Mora CR, Schimleck LR (2008) On the selection of samples for multivariate regression analysis: application to near-infrared (NIR) calibration models for the prediction of pulp yield in Eucalyptus nitens. Can J For Res 38(10):2626–2634

    Article  Google Scholar 

  • Nemli G, Aydın A (2007) Evaluation of the physical and mechanical properties of particleboard made from the needle litter of Pinus pinaster Ait. Ind Crops Prod 26:252–258

    Article  CAS  Google Scholar 

  • Niemz P, Körner S, Wiehaus O, Flamme W, Balmer M (1992) Applying NIR spectroscopy for evaluation of the hardwood/softwood ratio and resin content in chip mixtures. Holz Roh Werkst 50:25–28

    Article  CAS  Google Scholar 

  • Niemz P, Dutschmann F, Stolken B (1994) Using NIR-spectroscopy for evaluating resin content in CHIP mixtures. Holz Roh Werkst 52:6–8

    Article  CAS  Google Scholar 

  • DIN 52362 (1982) Testing of wood chipboards, bending test, determination of bending strength. Normen für Holzfaserplatten Spanplatten Sperrholz

  • Pasquini C (2003) Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. J Braz Chem Soc 14(2):198–219

    Article  CAS  Google Scholar 

  • Raymond AC (2002) Genetics of Eucalyptus wood properties. Ann For Sci 59:525–531

    Article  Google Scholar 

  • Rials TG, Kelley SS, So CL (2002) Use of advanced spectroscopic techniques for predicting the mechanical properties of wood composites. Wood Fiber Sci 34:398–407

    CAS  Google Scholar 

  • Rodrigues J, Alves A, Pereira H, Perez DS, Chantre G, Schwanninger M (2006) NIR PLSR results obtained by calibration with noisy low-precision reference values: Are the results acceptable? Holzforschung 60(4):402–408

    Article  CAS  Google Scholar 

  • Savitzky A, Golay MJE (1964) Smoothing and differentiation of data by simplified least-squares procedures. Anal Chem 36(8):1627–1639

    Article  CAS  Google Scholar 

  • Shenk JS, Workman JJ, Westerhaus MO (2001) Application of NIR spectroscopy to agricultural products. In: Burns DA, Ciurczak EW (eds) Handbook of near-infrared analysis. Dekker, New York, p 419

    Google Scholar 

  • Schimleck LR, Evans R (2004) Estimation of Pinus radiata D Don tracheid morphologicalcharacteristics by near infrared spectroscopy. Holzforschung 58:66–73

    Article  CAS  Google Scholar 

  • Schimleck LR, Mora C, Daniels RF (2003) Estimation of the physical wood properties of green Pinus taeda radial samples by near infrared spectroscopy. Can J For Res 33:2297–2305

    Article  Google Scholar 

  • Schimleck LR, Jones PD, Peter GF, Daniels RF, Clark III A (2004) Nondestructive estimation of tracheid length from sections of radial wood strips by near infrared spectroscopy. Holzforschung 58:375–381

    Article  CAS  Google Scholar 

  • Tsuchikawa S (2007) A review of recent near infrared research for wood and paper. Appl Spectrosc Rev 42:43–71

    Article  CAS  Google Scholar 

  • Wang Z, Wang Y, Jiao Q (2004) Modern near infrared spectroscopic technique: a novel non-destructive method to test properties of wood-based panels. World For Res 17:22–24

    Google Scholar 

  • Westad F, Martens H (2000) Variable selection in near infrared spectroscopy based on significance testing in partial least square regression. J Near Infrared Spectrosc 8:117–124

    Article  CAS  Google Scholar 

  • Williams PC, Sobering DC (1993) Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. J Near Infrared Spectrosc 1:25–33

    Article  CAS  Google Scholar 

  • Workman JJ (2008) NIR spectroscopy calibration basics. In: Burns DA, Ciurczak EW (eds) Handbook of near-infrared analysis, 3rd edn. CRC Press, Boca Raton, pp 123–150

    Google Scholar 

  • Workman JJ, Weyer L (2007) Practical guide to interpretive near-infrared spectroscopy. CRC Press, Boca Raton

    Google Scholar 

  • Xu X, Yao F, Wu Q, Zhou D (2009) The influence of wax-sizing on dimension stability and mechanical properties of bagasse particleboard. Ind Crops Prod 29:80–85

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors express their thanks to the Universidade Federal de Lavras, Departamento de Ciência e Tecnologia da Madeira, for supporting the experimental work and, particularly, to Dr. Paulo F. Trugilho for enabling the NIRS analysis. Special thanks to the reviewers for their remarkable advices. The research was funded by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil) and FAPEMIG (Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Brazil). P.R.G. Hein was supported by CNPq (process no. 200970/2008-9).

Conflict of interest The first author is supported by CNPq and the co-authors have not a financial relationship with the organization that sponsored the research. We declare that there is no conflict of interest.

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Authors and Affiliations

  1. CIRAD–PERSYST Department, Research unit: Production and Processing of Tropical Woods, TA B-40/16, 73 rue Jean-François Breton, 34398, Montpellier, France

    Paulo Ricardo Gherardi Hein

  2. Ciência e Tecnologia da Madeira–Departamento de Ciências Florestais, Universidade Federal de Lavras, Campus Universitário, CP 3037, Lavras, Minas Gerais, CEP, 37200-000, Brazil

    Ana Carolina Maioli Campos, Rafael Farinassi Mendes & Lourival Marin Mendes

  3. CIRAD–BIOS Department, Research unit: Diversité génétique des espèces forestières, TA B-40/16, 73 rue Jean-François Breton, 34398, Montpellier, France

    Gilles Chaix

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  1. Paulo Ricardo Gherardi Hein
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  2. Ana Carolina Maioli Campos
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  3. Rafael Farinassi Mendes
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  4. Lourival Marin Mendes
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  5. Gilles Chaix
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Correspondence to Paulo Ricardo Gherardi Hein.

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Hein, P.R.G., Campos, A.C.M., Mendes, R.F. et al. Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy. Eur. J. Wood Prod. 69, 431–442 (2011). https://doi.org/10.1007/s00107-010-0471-5

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