Startseite Calibration of near infrared spectroscopy (NIRS) data of three Eucalyptus species with extractive contents determined by ASE extraction for rapid identification of species and high extractive contents
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Calibration of near infrared spectroscopy (NIRS) data of three Eucalyptus species with extractive contents determined by ASE extraction for rapid identification of species and high extractive contents

  • Yanjie Li ORCID logo und Clemens Altaner EMAIL logo
Veröffentlicht/Copyright: 15. Januar 2019
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Abstract

Plantations of naturally durable timber species could substitute unsustainably harvested wood from tropical forests or wood treated with toxic preservatives. The New Zealand Dryland Forests Initiative (NZDFI) has established a tree-breeding program to develop genetically improved planting stock for durable eucalyptus plantations. In this study the durable heartwood of Eucalyptus bosistoana, Eucalyptus globoidea and Eucalyptus argophloia was characterized by near infrared (NIR) spectroscopy and NIR data was calibrated with the extractives content (EC), determined by accelerated solvent extraction (ASE) extraction, by means of a partial least squares regression (PLSR) model. It was possible to predict the EC content in the range of 0.34–18.9% with a residual mean square error (RMSE) of 0.9%. Moreover, the three species could also be differentiated by NIR spectroscopy with 100% accuracy, i.e. NIR spectroscopy is able to segregate timbers from mixed species forest plantations.

Acknowledgments

The authors are gratefully for Satoru Kuwabara’s and Paul Millen’s support obtaining the wood samples.

  1. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved submission.

  2. Research funding: This work was funded by the New Zealand Ministry of Business, Innovation and Employment (MBIE) Partnership for Specialty Wood Products (contract FFRX1501).

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

References

Adedipe, O.E., Dawson-Andoh, B., Slahor, J., Osborn, L. (2008) Classification of red oak (Quercus rubra) and white oak (Quercus alba) wood using a near infrared spectrometer and soft independent modelling of class analogies. J. Near Infrared Spec. 16:49–57.10.1255/jnirs.760Suche in Google Scholar

Altaner, C.M., Murray, T.J., Morgenroth, J. Durable Eucalypts on Drylands: Protecting and Enhancing Value: Workshop Proceedings. New Zealand School of Forestry, University of Canterbury, NZ, 2017.Suche in Google Scholar

Apiolaza, L., Chauhan, S., Walker, J., Revisiting eucalypts – a strategic assessment. (2009) Wood Technology Research Centre, University of Canterbury, New Zealand. pp. 147–153.Suche in Google Scholar

AS 5604. Timber-Natural Durability Ratings. Standards Australia, Homebush, 2003.Suche in Google Scholar

ASTM, D. Standard Test Method of Accelerated Laboratory Test of Natural Decay Resistance of Woods. American Society for Testing Materials, West Conshohocken, 2005.Suche in Google Scholar

Barbosa, L., Maltha, C., Cruz, M. (2005) Chemical composition of lipophilic and polar extractives of Eucalyptus grandis. Sci. Eng. J. 15:13–20.Suche in Google Scholar

Benouadah, N., Pranovich, A., Aliouche, D., Hemming, J., Smeds, A., Willför, S. (2018) Analysis of extractives from Pinus halepensis and Eucalyptus camaldulensis as predominant trees in Algeria. Holzforschung 72:97–104.10.1515/hf-2017-0098Suche in Google Scholar

Bootle, K.R. Wood in Australia. Types, Properties, and Uses. McGraw-Hill, Australia, 2005.Suche in Google Scholar

Borer, M.W., Zhou, X., Hays, D.M., Hofer, J.D., White, K.C. (1998) Evaluation of key sources of variability in the measurement of pharmaceutical drug products by near infrared reflectance spectroscopy. J. Pharm. Biomed. Anal. 17:641–650.10.1016/S0731-7085(97)00229-XSuche in Google Scholar

Brooker, M.I.H. (2000) A new classification of the genus Eucalyptus L’Her.(Myrtaceae). Aust. Syst. Bot. 13:79–148.10.1071/SB98008Suche in Google Scholar

Bush, D., McCarthy, K., Meder, R. (2011) Genetic variation of natural durability traits in Eucalyptus cladocalyx (sugar gum). Ann. For. Sci. 68:1057–1066.10.1007/s13595-011-0121-zSuche in Google Scholar

Chin, W.W., Newsted, P.R. (1999) Structural equation modeling analysis with small samples using partial least squares. Stat. Strat. Small. Samp. Res. 1:307–341.Suche in Google Scholar

Downes, G., Meder, R., Hicks, C., Ebdon, N. (2009) Developing and evaluating a multisite and multispecies NIR calibration for the prediction of Kraft pulp yield in eucalypts. South. For. 71:155–164.10.2989/SF.2009.71.2.11.826Suche in Google Scholar

Eaton, R.A., Hale, M.D. Wood: Decay, Pests and Protection. Chapman and Hall, London, 1993.Suche in Google Scholar

EN350-1. Durability of wood and wood-based products – Natural durability of solid wood. Part 1: Guide to the principles of testing and classification of the natural durability of wood. European Committee for Standardization Brussels, 1994.Suche in Google Scholar

Espinoza, J.A., Hodge, G.R., Dvorak, W.S. (2012) The potential use of near infrared spectroscopy to discriminate between different pine species and their hybrids. J. Near. Infrared. Spec. 20:437–447.10.1255/jnirs.1006Suche in Google Scholar

Fackler, K., Schwanninger, M. (2010) Polysaccharide degradation and lignin modification during brown rot of spruce wood: a polarised Fourier transform near infrared study. J. Near. Infrared. Spec. 18:403–416.10.1255/jnirs.901Suche in Google Scholar

Garson, G.D. Partial Least Squares: Regression and Structural Equation Models. Statistical Associates Publishers, Asheboro, NC, 2016.Suche in Google Scholar

Gebreselassie, M.N., Ader, K., Boizot, N., Millier, F., Charpentier, J.-P., Alves, A., Simões, R., Rodrigues, J.C., Bodineau, G., Fabbrini, F., Sabatti, M., Bastien, C., Segura, V. (2017) Near-infrared spectroscopy enables the genetic analysis of chemical properties in a large set of wood samples from Populus nigra (L.) natural populations. Ind. Crops. Prod. 107:159–171.10.1016/j.indcrop.2017.05.013Suche in Google Scholar

Gierlinger, N., Jacques, D., Grabner, M., Wimmer, R., Schwanninger, M., Rozenberg, P., Pâques, L.E. (2004) Colour of larch heartwood and relationships to extractives and brown-rot decay resistance. Trees 18:102–108.10.1007/s00468-003-0290-ySuche in Google Scholar

Harju, A.M., Venäläinen, M. (2006) Measuring the decay resistance of Scots pine heartwood indirectly by the Folin-Ciocalteu assay. Can. J. For. Res. 36:1797–1804.10.1139/x06-074Suche in Google Scholar

He, W., Hu, H. (2013) Rapid prediction of different wood species extractives and lignin content using near infrared spectroscopy. J. Wood Chem. Technol. 33:52–64.10.1080/02773813.2012.731463Suche in Google Scholar

Hill, C. Wood Modification: Thermal, Chemical and Other Processes. John Wiley and Sons, Ltd., Chichester, 2006. p. 240.10.1002/0470021748Suche in Google Scholar

Hillis, W. (1991) Eucalypts: chemistry, uses. Appita. J. 44:239–244.Suche in Google Scholar

Hillis, W., Hart, J., Yazaki, Y. (1974) Polyphenols of Eucalyptus sideroxylon wood. Phytochemistry 13:1591–1595.10.1016/0031-9422(74)80334-1Suche in Google Scholar

Hwang, S.-W., Horikawa, Y., Lee, W.-H., Sugiyama, J. (2016) Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches. J. Wood Sci. 62:156–167.10.1007/s10086-016-1540-0Suche in Google Scholar

ITTO. Biennial Review and Assessment of the World Timber Situation 2015–2016. Yokohama, Japan, 2017.Suche in Google Scholar

Jayawickrama, K.J. (2001) Breeding radiata pine for wood stiffness: review and analysis. Aust. For. 64:51–56.10.1080/00049158.2001.10676161Suche in Google Scholar

Kaosa-ard, A., Suangtho, V., Kjaer, E. (1998) Genetic improvement of teak (Tectona grandis) in Thailand. For. Gene. Res. 26:21–29.Suche in Google Scholar

Kuhn, M. (2008) Caret package. J. Stat. Softw. 28:1–26.10.18637/jss.v028.i05Suche in Google Scholar

Lazarescu, C., Hart, F., Pirouz, Z., Panagiotidis, K., Mansfield, S.D., Barrett, J.D., Avramidis, S. (2017) Wood species identification by near-infrared spectroscopy. Int. Wood Pro. J. 8:32–35.10.1080/20426445.2016.1242270Suche in Google Scholar

Lee, D., Zbonak, A., McGavin, R. Development of E. argophloia in Queensland: Lessons Learnt. In Developing a Eucalypt Resource: Learning from Australia and Elsewhere. Wood Technology Research Centre, Blenheim, N.Z., 2011.Suche in Google Scholar

Li, Y., Altaner, C.M. Improving heartwood quality of durable eucalypts. In: Durable Eucalypts on Drylands: Protecting and Enhancing Value. Workshop Proceedings, Blenheim, NZ, 2017.Suche in Google Scholar

Mehmood, T., Liland, K.H., Snipen, L., Sæbø, S. (2012) A review of variable selection methods in partial least squares regression. Chemom. Intell. Lab. Syst. 118:62–69.10.1016/j.chemolab.2012.07.010Suche in Google Scholar

Mevik, B., Wehrens, R., Hovde, L. Partial Least Squares and Principal Component Regression. R package version 2.5-0, 2015.Suche in Google Scholar

Michell, A.J., Schimleck, L.R. (1996) NIR spectroscopy of woods from Eucalyptus globulus. Appita. J. 49:23–26.Suche in Google Scholar

Minasny, B., McBratney, A.B., Bellon-Maurel, V., Roger, J.-M., Gobrecht, A., Ferrand, L., Joalland, S. (2011) Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon. Geoderma 167:118–124.10.1016/j.geoderma.2011.09.008Suche in Google Scholar

Nellemann, C. Green Carbon, Black Trade: Illegal Logging, Tax Fraud and Laundering in the World’s Tropical Forests. United Nations Environment Programme, GRID-Arendal, 2012.Suche in Google Scholar

Nicholas, I., Millen, P. Eucalyptus globoidea – a Durable Hardwood for Planting in the Bay of Plenty Region, New Zealand Dryland Forests Initiative, Blenheim, NZ, 2012.Suche in Google Scholar

Nichols, J.D., Bristow, M., Vanclay, J.K. (2006) Mixed-species plantations: prospects and challenges. For. Ecol. Manag. 233:383–390.10.1016/j.foreco.2006.07.018Suche in Google Scholar

Nisgoski, S., Schardosin, F.Z., Batista, F.R.R., de Muñiz, G.I.B., Carneiro, M.E. (2016) Potential use of NIR spectroscopy to identify Cryptomeria japonica varieties from southern Brazil. Wood. Sci. Technol. 50:71–80.10.1007/s00226-015-0783-zSuche in Google Scholar

NZS3602. Timber and Wood-Based Products for Use in Building. New Zealand Standards Association, Wellington, NZ, 2003.Suche in Google Scholar

Osborne, B.G., Fearn, T., Hindle, P.H. Practical NIR Spectroscopy with Applications in Food and Beverage Analysis. Longman Scientific and Technicalogy, Harlow, England, 1993.Suche in Google Scholar

Pettersen, R.C. The chemical composition of wood. In: The Chemistry of Solid Wood. Advances in Chemistry Series 207. Eds. Rowell, R.M. American Chemical Society, Washington, DC, 1984.10.1021/ba-1984-0207.ch002Suche in Google Scholar

Poke, F.S., Wright, J.K., Raymond, C.A. (2005) Predicting extractives and lignin contents in Eucalyptus globulus using near infrared reflectance analysis. J. Wood Chem. Technol. 24:55–67.10.1081/WCT-120035944Suche in Google Scholar

R Core Team. R: A language and environment for statistical computing. In R Foundation for Statistical Computing: Vienna, Austria, 2017.Suche in Google Scholar

Raymond, C.A. (2002) Genetics of Eucalyptus wood properties. Ann. For. Sci. 59:525–531.10.1051/forest:2002037Suche in Google Scholar

Richter, B.E., Jones, B.A., Ezzell, J.L., Porter, N.L., Avdalovic, N., Pohl, C. (1996) Accelerated solvent extraction: a technique for sample preparation. Anal. Chem. 68:1033–1039.10.1021/ac9508199Suche in Google Scholar

Rudman, P. (1964) Durability in the genus Eucalyptus. Aust. For. 28:242–257.10.1080/00049158.1964.10675949Suche in Google Scholar

Scheffer, T.C., Morell, J.J. (1998) Natural durability of wood: a worldwide checklist of species. Research Contribution 22, Forest Research Laboratory, Oregon State University Research Contribution, Corvallis. p. 58.Suche in Google Scholar

Schimleck, L.R., Michell, A.J., Vinden, P. (1996) Eucalypt wood classification by NIR spectroscopy and principal components analysis. Appita. J. 49:319–324.Suche in Google Scholar

Schwanninger, M., Rodrigues, J.C., Fackler, K. (2011) A review of band assignments in near infrared spectra of wood and wood components. J. Near. Infrared. Spec. 19:287–308.10.1255/jnirs.955Suche in Google Scholar

Shou, G., Zhang, W., Gu, Y., Zhao, D. (2014) Application of near infrared spectroscopy for discrimination of similar rare woods in the Chinese market. J. Near. Infrared. Spec. 22:423–432.10.1255/jnirs.1136Suche in Google Scholar

Siesler, H.W., Ozaki, Y., Kawata, S., Heise, H.M. Near-Infrared Spectroscopy: Principles, Instruments, Applications. Wiley-VCH Verlag GmbH, Weinheim, Germany, 2002.10.1002/9783527612666Suche in Google Scholar

Stevens, A., Ramirez–Lopez, L. (2014) An introduction to the prospectr package. R Package Vignette, Report No.: R Package Version 0.1. 3.Suche in Google Scholar

Taylor, A.M., Labbé, N., Noehmer, A. (2011) NIR-based prediction of extractives in American white oak heartwood. Holzforschung 65:185–190.10.1515/hf.2011.026Suche in Google Scholar

Thulasidas, P.K., Bailleres, H. Wood Quality for Advanced Uses of Teak from Natural and Planted Forests. International Union of Forest Research Organzations (IUFRO), The Global Teak Study Analysis, Evaluation and Future Potential of Teak Resources, 2017.Suche in Google Scholar

Townsend, T.G., Solo-Gabriele, H. Environmental Impacts of Treated Wood. CRC press, Boca Raton, FL, 2006.10.1201/9781420006216Suche in Google Scholar

Tran, T.N., Afanador, N.L., Buydens, L.M., Blanchet, L. (2014) Interpretation of variable importance in partial least squares with significance multivariate correlation (sMC). Chemometr. Intell. Lab. Syst. 138:153–160.10.1016/j.chemolab.2014.08.005Suche in Google Scholar

Tsuchikawa, S., Kobori, H. (2015) A review of recent application of near infrared spectroscopy to wood science and technology. J. Wood Sci. 61:213–220.10.1007/s10086-015-1467-xSuche in Google Scholar

Tsuchikawa, S., Schwanninger, M. (2013) A review of recent near-infrared research for wood and paper (Part 2). Appl. Spectrosc. Rev. 48:560–587.10.1080/05704928.2011.621079Suche in Google Scholar

UNODC. World Wildlife Crime Report: Trafficking in protected species. United Nations, New York, 2016.Suche in Google Scholar

Walker, J.C.F. Developing a Eucalypt Resource: Learning from Australia and Elsewhere. Wood Technology Research Centre, Blenheim, N.Z., 2011.Suche in Google Scholar

West, P.W. (Ed.) Mixed-species Plantations. In: Growing Plantation Forests. Springer, Switzerland, 2014, pp. 211–222.10.1007/978-3-319-01827-0_13Suche in Google Scholar

Whiteman, P., Cameron, J., Farrington, A. (1996) Breeding trees for improved pulp and paper production: a review. Appita. J. 49:50–53.Suche in Google Scholar

Wold, H. (2004) Partial least squares. In: Encyclopedia of Statistical Sciences. John Wiley & Sons, New York.10.1002/0471667196.ess1914Suche in Google Scholar

Zhou, C., Jiang, W., Cheng, Q., Via, B.K. (2015a) Multivariate calibration and model integrity for wood chemistry using fourier transform infrared spectroscopy. J. Anal. Methods. Chem. 2015:429846.10.1155/2015/429846Suche in Google Scholar PubMed PubMed Central

Zhou, C., Jiang, W., Via, B.K., Fasina, O., Han, G. (2015b) Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR. Carbohydr. Polym. 121:336–341.10.1016/j.carbpol.2014.11.062Suche in Google Scholar PubMed

Zobel, B., Jett, J. Genetics of Wood Production. Springer-Verlag, Berlin, 1995.10.1007/978-3-642-79514-5Suche in Google Scholar

Received: 2018-07-28
Accepted: 2018-12-11
Published Online: 2019-01-15
Published in Print: 2019-06-26

©2019 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 28.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/hf-2018-0166/pdf
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