Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood

Holzforschung

Volumn 64, Issue 1, 2010, Pages 45-54

  Gherardi Hein, Paulo Ricardo ^a   Lima, José Tarcísio ^b   Chaix, Gilles ^a  

^a CIRAD   (France)

^b FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

Author keywords

Acid soluble lignin; Eucalyptus urophylla; Lignin; Near infrared (NIR) spectroscopy; Particle size; Solid wood; Syringyl to guaiacyl ratio; Wood powder; Wood surface

Indexed keywords

ACID-SOLUBLE LIGNIN; GUAIACYL; SOLID WOODS; WOOD POWDER; WOOD SURFACES;

ACIDS; CALIBRATION; CHEMICAL PROPERTIES; INFRARED DEVICES; INFRARED SPECTROSCOPY; LIGNIN; NEAR INFRARED SPECTROSCOPY; PREDICTIVE CONTROL SYSTEMS; PROBABILITY DISTRIBUTIONS;

WOOD;

ACIDS; CALIBRATION; CHEMICAL PROPERTIES; EUCALYPTUS UROPHYLLA; INFRARED SPECTROSCOPY; LIGNINS; PARTICLE SIZE; POWDER; WOOD;

EUCALYPTUS; EUCALYPTUS UROPHYLLA;

EID: 74049124203     PISSN: 00183830     EISSN: 1437434X     Source Type: Journal    
DOI: 10.1515/HF.2010.011     Document Type: Article

References (55)

1. Alencar, G.S.B., Barrichelo, L.E.G., Júnior, F.G.S.J. (2002) Qualidade da madeira de híbrido de E. grandis=E. urophylla e selec ̧ão precoce. In: 35 Congresso e exposição anual de celulose e papel. ABTCP, São Paulo, Brazil. pp. 1-6.
2. Alsberg, B.K., Kell, D.B., Goodacre, R. (1998) Variable selection in discriminant partial least squares analysis. Anal. Chem. 70: 4126-4133.
3. Alves, A., Schwanninger, M., Pereira, H., Rodrigues, J. (2006) Calibration of NIR to assess lignin composition (H/G ratio) in maritime pine wood using analytical pyrolysis as the reference method. Holzforschung 60:29-31.
4. Alves, A., Santos, A., Perez, D.S., Rodrigues, J.C., Pereira, H., Simões, R., Schwanninger, M. (2007) NIR PLSR model selection for Kappa number prediction of maritime pine Kraft pulps. Wood Sci. Technol. 41:491-499.
5. Baillères, H., Davrieux, F., Ham-Pichavant, F. (2002) Near infrared analysis as a tool for rapid screening of some major wood characteristics in a Eucalyptus breeding program. Ann. For. Sci. 59:479-490.
6. Ben-Gera, I., Norris, K. (1968) Direct spectrophotometric determination of fat and moisture in meat products. J. Food Sci. 33:64-67.
7. Birkett, M.D., Gambino, M.J.T. (1988) Estimation of pulp kappa number with near infrared spectroscopy. Tappi J. 72:193-197.
8. Brito, J.O., Barrichelo, L.E.G. (1977) Correlações entre caracteŕisticas f́isicas e qúimicas da madeira e a produção de carvão vegetal: I. densidade e teor de lignina da madeira de eucalipto. IPEF 14:9-20.
9. Bull, C.R. (1991) Compensation for particle size effects in near infrared reflectance. Analyst 116:781-786.
10. Burns, D.A., Ciurczak, E.W. Handbook of Near-Infrared Analysis. CRC Press, Boca Raton, FL, 2008.
11. Campos, A.C.M., Hein, P.R.G., Mendes, R.F., Mendes, L.M., Chaix, G. (2009) Near infrared spectroscopy to evaluate composition of agro-based particleboards. BioResources 4:1058-1069.
12. Carvalho, A.M., Nahuz, M.A.R. (2001) Valorização da madeira do híbrido Eucalyptus grandis=urophylla através da produção conjunta de madeira serrada em pequenas dimensões, celulose e lenha. Sci. For. 59:61-76.
13. Codgill, R.P., Schimleck, L.R., Jones, P.D., Peter, G.F., Daniels, R.F., Clark, A. (2004) Estimation of the physical wood properties of Pinus taeda L. radial strips using least squares support vector machines. J. Near Infrared Spec. 12:263-269.
14. Dence, C.W. (1992) The determination of lignin. In: Methods in Lignin Chemistry. Eds. Lin, S.Y., Dence, C.W. Springer-Verlag, Berlin. pp. 33-61.
15. Easty, D.B., Berben, S.A., DeThomas, F.A., Brimmer, P.J. (1990) Near-infrared spectroscopy for the analysis of wood pulp: quantifying hardwood-softwood mixtures and estimating lignin content. Tappi J. 73:257-261.
16. Faix, O., Böttcher, J.H. (1992) The influence of particle size and concentration in transmission and diffuse reflectance spectroscopy of wood. Holz Roh Werkst. 50:221-226.
17. Fujimoto, T., Kurata, Y., Matsumoto, K., Tsushikawa, S. (2008) Application of near infrared spectroscopy for estimating wood mechanical properties of small clear and full length lumber specimens. J. Near Infrared Spec. 16:529-537.
18. Ghasemi, J., Niazi, A., Leardi, R. (2003) Genetic-algorithm-based wavelength selection in multicomponent spectrophotometric determination by PLS: application on copper and zinc mixture. Talanta 59:311-317.
19. Gierlinger, N., Schwanninger, M., Wimmer, R. (2004) Characteristics and classification of Fourier-transform near infrared spectra of heartwood of different larch species (Larix sp.). J. Near Infrared Spec. 12:113-119.
20. Gomide, J.L., Colodette, J.L., Oliveira, R.C., Silva, C.M. (2005) Caracterização tecnológica, para produção de celulose, da nova geracão de clones de Eucalyptus do Brasil. Árvore 29:129-137.
21. Hart, J.R., Norris, K.H., Golumbic, C. (1962) Determination of the moisture content of seeds by near-infrared spectrophotometry of their methanol extracts. Cereal Chem. 39:94-99.
22. Hein, P.R.G., Lima, J.T., Chaix, G. (2009) Robustness of models based on near infrared spectra to predict the basic density in Eucalyptus urophylla wood. J. Near Infrared Spec. 17:141-150.
23. Hodge, G.R., Woodbridge, W.C. (2004) Use of near infrared spectroscopy to predict lignin content in tropical and sub-tropical pines. J. Near Infrared Spec. 12:381-390.
24. Hoffmeyer, P., Pedersen, J. (1995) Evaluation of density and strength of Norway spruce wood by near infrared spectroscopy. Holz Roh Werkst. 53:165-170.
25. Jones, P.D., Schimleck, L.R., Peter, G.F., Daniels, R.F., Clark III, A. (2006) Nondestructive estimation of sections of radial wood strips by diffuse reflectance near infrared spectroscopy. Wood Sci. Technol. 40:708-720.
26. Jones, P.D., Schimleck, L.R., Daniels, R.D., Clark III, A., Purnell, R.C. (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.
27. Kelley, S.S., Rials, T.G., Snell, R., Groom, L.H., Sluiter, A. (2004) Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci. Technol. 38: 257-276.
28. Lapierre, C., Pollet, B., Rolando, C. (1995) New insights into the molecular architecture of hardwood lignins by chemical degradative methods. Res. Chem. Interm. 21:397-412.
29. Lestander, T.A., Johnsson, B., Grothage, M. (2008) NIR techniques create added values for the pellet and biofuel industry. Bioresource Technol. 100:1589-1594.
30. Meder, R., Gallagher, S., Mackie, K.L., Böhler, H., Meglen, R.R. (1999) Rapid determination of the chemical composition and density of Pinus radiata by PLS modelling of transmission and diffuse reflectance FTIR spectra. Holzforschung 53:261-266.
31. Mora, C.R., Schimleck, L.R., Isik, F. (2008) Near infrared calibration models for the estimation of wood density in Pinus taeda using repeated sample measurements. J. Near Infrared Spec. 16:517-528.
32. Næs, T., Isaksson, T., Fearn, T., Davies, T. A User-Friendly Guide to Multivariate Calibration and Classification. NIR Publication, Chichester, UK, 2002.
33. Norris, K.H., Williams, P.C. (1984) Optimization of mathematical treatments of raw near-infrared signal in the measurement of protein in hard red spring wheat. I. Influence of particle size. Cereal Chem. 61:158-165.
34. Otsuka, M. (2004) Comparative particle size determination of phenacetin bulk powder by using Kubelka-Munk theory and principal component regression analysis based on near-infrared spectroscopy. Powder Technol. 141:244-250.
35. Pasquini, C. (2003) Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. J. Braz. Chem. Soc. 14:198-219.
36. Poke, F.S., Raymond, C.A. (2006) Predicting extractives, lignin, and cellulose contents using near infrared spectroscopy on solid wood in Eucalyptus globulus. J. Wood Chem. Technol. 26:187-199.
37. Poke, F.S., Potts, B.M., Vaillancourt, R.E., Raymond, C.A. (2006) Genetic parameters for lignin, extractives and decay in Eucalyptus globulus. Ann. For. Sci. 63:813-821.
38. Robinson, A.R., Mansfield, S.D. (2009) Rapid analysis of poplar lignin monomer composition by a revised thioacidolysis procedure and NIR-based prediction modeling. Plant J. 58: 706-714.
39. Savitzky, A., Golay, M.J.E. (1964) Smoothing and differentiation of data by simplified least-squares procedures. Anal. Chem. 36: 1627-1639.
40. Schimleck, L.R., Evans, R. (2004) Estimation of Pinus radiata D. Don tracheid morphological characteristics by near infrared spectroscopy. Holzforschung 58:66-73.
41. Schimleck, L.R., Evans, R., Ilic, J. (2001) Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy. Can. J. For. Res. 31:1671-1675.
42. Schimleck, L.R., Doran, J.C., Rimbawanto, A. (2003) Near infrared spectroscopy for cost-effective screening of foliar oil characteristics in a Melaleuca cajuputi breeding population. J. Agric. Food Chem. 51:2433-2437.
43. Schimleck, L.R., Evans, R., Jones, P.D., Daniels, R.F., Peter, G.F., Clark III, A. (2005) Estimation of microfibril angle and stiffness by near infrared spectroscopy using sample sets having limited wood density variation. IAWA J. 26:175-187.
44. Taylor, A.M., Baek, S.H., Jeong, M.K., Nix, G. (2008)Wood shrinkage prediction using NIR spectroscopy. Wood Fiber Sci. 40:301-307.
45. Thumm, A., Meder, R. (2001) Stiffness prediction of radiata pine clearwood test pieces using near infrared spectroscopy. J. Near Infrared Spec. 9:117-122.
46. Tsuchikawa, S. (2007) A review of recent near infrared research for wood and paper. Appl. Spectrosc. Rev. 42:43-71.
47. Tsuchikawa, S., Siesler, H.W. (2003) Near-infrared spectroscopic monitoring of the diffusion process of deuterium-labeled molecules in wood, Part.1: softwood. Appl. Spectrosc. 57: 667-674.
48. Tsuchikawa, S., Hayashi, K., Tsutsumi, S. (1992) Application of near infrared spectrophotometry to wood. 1. Effects of the surface-structure. Mokuzai Gakkaishi 38:128-136.
49. Tyson, J., Schimleck, L., Aguiar, A.M., Muro Abad, J.I., Rezende, G.S.P. (2009) Adjusting near infrared wood property calibrations for central Brazil to predict the wood properties of samples from southern Brazil. Appita J. 62:46-51.
50. Westad, F., Martens, H. (2000) Variable selection in near infrared spectroscopy based on significance testing in partial least square regression. J. Near Infrared Spec. 8:117-124.
51. Williams, P.C., Sobering, D.C. (1993) Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. J. Near Infrared Spec. 1:25-33.
52. Wright, J., Birkett, M., Gambino, M. (1990) Prediction of pulp yield and cellulose content from wood using near infrared reflectance spectroscopy. Tappi J. 73:164-166.
53. Yeh, T.-F., Chang, H.-M., Kadla, J.F. (2004) Rapid prediction of solid wood lignin content using transmittance near-infrared spectroscopy. J. Agric. Food Chem. 52:1435-1439.
54. Zahri, S., Moubarik, A., Charrier, F., Chaix, G., Baillères, H., Nepveu G., Charrier, B. (2008) Quantitative assessment of total phenol content of European oak (Quercus petraea and Quercus robur) by diffuse reflectance NIR spectroscopy on solid wood surfaces. Holzforschung 62:679-687.
55. Zavarin, E., Jones, S.J., Cool, L.G. (1990) Analysis of solid wood surfaces by diffuse reflectance infrared Fourier-transform (DRIFT) spectroscopy. J. Wood Chem. Technol. 10:495-513.