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Wood Research and Technology

Holzforschung

Cellulose – Hemicelluloses – Lignin – Wood Extractives

Editor-in-Chief: Salmén, Lennart

Editorial Board: Daniel, Geoffrey / Militz, Holger / Rosenau, Thomas / Sixta, Herbert / Vuorinen, Tapani / Argyropoulos, Dimitris S. / Balakshin, Yu / Barnett, J. R. / Burgert, Ingo / Rio, Jose C. / Evans, Robert / Evtuguin, Dmitry V. / Frazier, Charles E. / Fukushima, Kazuhiko / Gindl-Altmutter, Wolfgang / Glasser, W. G. / Holmbom, Bjarne / Isogai, Akira / Kadla, John F. / Koch, Gerald / Lachenal, Dominique / Laine, Christiane / Mansfield, Shawn D. / Morrell, J.J. / Niemz, Peter / Potthast, Antje / Ragauskas, Arthur J. / Ralph, John / Rice, Robert W. / Salin, Jarl-Gunnar / Schmitt, Uwe / Schultz, Tor P. / Sipilä, Jussi / Takano, Toshiyuki / Tamminen, Tarja / Theliander, Hans / Welling, Johannes / Willför, Stefan / Yoshihara, Hiroshi


IMPACT FACTOR 2018: 2.579

CiteScore 2018: 2.43

SCImago Journal Rank (SJR) 2018: 0.829
Source Normalized Impact per Paper (SNIP) 2018: 1.082

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1437-434X
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Volume 73, Issue 7

Issues

NIR hyperspectral imaging (NIR-HI) and μXRD for determination of the transition between juvenile and mature wood of Pinus sylvestris L.

Antonio RuanoORCID iD: https://orcid.org/0000-0002-9684-1458 / Andreas Zitek
  • Division of Analytical Chemistry – VIRIS Laboratory for Analytical Ecogeochemistry, Department of Chemistry, University of Natural Resources and Life Sciences, Vienna, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Barbara Hinterstoisser
  • Institute of Wood Science and Technology, University of Natural Resources and Life Sciences, Vienna, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Eva HermosoORCID iD: https://orcid.org/0000-0002-0439-6319
Published Online: 2019-02-19 | DOI: https://doi.org/10.1515/hf-2018-0186

Abstract

The ratio of juvenile wood (jW) to mature wood (mW) is relevant for structural wood applications because of their different properties. Near infrared-hyperspectral imaging (NIR-HI) indicates after calibration, the spatial distribution of jW and mW, and this approach is less time consuming than the established micro X-ray densitometry (μXRD). In the present study, a comparative detection of the jW and mW of Pinus sylvestris L. was performed by NIR-HI and μXRD and the NIR-HI results were evaluated in combination with three chemometric approaches, namely, the principal component analysis (PCA), partitional k-means unsupervised classification (p-k-mUC) and partial least squares discriminant analysis (PLS-DA) in the range of 900–1700 nm. The best NIR-HI results can be obtained when the transition point of earlywood (EW) and latewood (LW) are assessed separately by PLS-DA. The presented results are useful for an automating data evaluation and simplified data collection.

Keywords: juvenile wood; mature wood; NIR hyperspectral imaging; Pinus sylvestris

References

  • Burdon, R.D., Kibblewhite, R.P., Walker, J.C.F., Megraw, R.A., Evans, R., Cown, D.J. (2004) Juvenile versus mature wood: A new concept, orthogonal to corewood versus outerwood, with special reference to Pinus radiata and Pinus taeda. For. Sci. 50:399–415.Google Scholar

  • Defoirdt, N., Sen, A., Dhaene, J., De Mil, T., Pereira, H., Van Acker, J., Van den Bulcke, J. (2017) A generic platform for hyperspectral mapping of wood. Wood Sci. Technol. 51:887–907.CrossrefWeb of ScienceGoogle Scholar

  • Duncker, P., Spiecker, H. (2009) Detection and classification of Norway spruce compression wood in reflected light by means of hyperspectral image analysis. IAWA J. 30:59–70.CrossrefWeb of ScienceGoogle Scholar

  • Fernandes, A., Lousada, J., Morais, J., Xavier, J., Pereira, J., Melo-Pinto, P. (2013) Measurement of intra-ring wood density by means of imaging VIS/NIR spectroscopy (hyperspectral imaging). Holzforschung 67:59–65.Web of ScienceGoogle Scholar

  • Firtha, F. (2010) Argus hyperspectral acquisition software, ftp://fizika2.kee.hu/ffirtha/Argus-CuBrowser.pdf, accessed 23.08.2018.

  • Firtha, F., Fekete, A., Kaszab, T., Gillay, B., Nogula-Nagy, M., Kovács, Z., Kantor, D.B. (2008) Methods for improving image quality and reducing data load of NIR hyperspectral images. Sensors 8:3287–3298.Web of ScienceCrossrefPubMedGoogle Scholar

  • Haddadi, A., Leblon, B., Pirouz, Z., Nader, J., Groves, K. (2015) Prediction of wood properties for thawed and frozen logs of quaking aspen, balsam poplar, and black spruce from near-infrared hyperspectral images. Wood Sci. Technol. 50:221–243.Web of ScienceGoogle Scholar

  • Hamzeh, Y., Najafi, S.M.H., Hubbe, M.A., Salehi, K., Firouzabadi, M.R.D. (2011) Recycling potential of unbleached and bleached chemical pulps from juvenile and mature wood of Populus deltoides. Holzforschung 66:155–161.Web of ScienceGoogle Scholar

  • Hermoso, E., Fernandez-Golfín, J.I., Díez, M.R. (2003) Mechanical characterization of timber according to European standards from Spanish provenances of Scots pine. Forest Syst. 12:103–110.Google Scholar

  • Ilic, J., Northway, R., Pongracic, S. (2003) Juvenile wood characteristics, effects and identification: literature review. CSIRO Forestry and Forest Products. Forest and Wood Products Research and Development Corporation, Australia FWPRDC Report PN02.1907:23.Google Scholar

  • Ivković, M., Gapare, W.J., Abarquez, A., Ilic, J., Powell, M.B., Wu, H.X. (2009) Prediction of wood stiffness, strength, and shrinkage in juvenile wood of radiata pine. Wood Sci. Technol. 43:237–257.CrossrefWeb of ScienceGoogle Scholar

  • Kobori, H., Inagaki, T., Fujimoto, T., Okura, T., Tsuchikawa, S. (2014) Fast online NIR technique to predict MOE and moisture content of sawn lumber. Holzforschung 69:329–335.Web of ScienceGoogle Scholar

  • Larson, P.R. Wood formation and the concept of wood quality. Yale University, School of Forestry, New Haven, CT, Bulletin no. 74:54, 1969.Google Scholar

  • Larson, P.R., Kretschmann, D.E., Clark, A.I., Isebrands, J.G. (2001) Formation and properties of juvenile wood in southern pines: a synopsis. Gen Tech Rep FPL-GTR-129. US Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI, p. 42.Google Scholar

  • Ma, T., Inagaki, T., Tsuchikawa, S. (2017) Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution. Holzforschung 71:341–347.Web of ScienceGoogle Scholar

  • Mansfield, S.D., Parish, R., Di Lucca, C.M., Goudie, J., Kang, K.-Y., Ott, P. (2009) Revisiting the transition between juvenile and mature wood: a comparison of fibre length, microfibril angle and relative wood density in lodgepole pine. Holzforschung 63:449–456.Web of ScienceGoogle Scholar

  • McLean, J., Jin, G., Brennan, M., Nieuwoudt, M., Harris, P. (2014) Using NIR and ATR-FTIR spectroscopy to rapidly detect compression wood in Pinus radiata. Canadian J. Forest Res. 44:820–830.CrossrefWeb of ScienceGoogle Scholar

  • PLS Toolbox 8.6.2 and MIA_Toolbox 3.0.6. Eigenvector Research, Inc., Manson, WA, USA 98831, 2018; software available at http://www.eigenvector.com.

  • R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2017. URL https://www.R-project.org/.

  • Rodriguez, E., Ortega, M. (2008) Tendencias radiales de la densidad y sus componentes en Pinus nigra Arn. de la Península Ibérica. Forest Sys. 15:120–133.Google Scholar

  • Rowell, R. (1984) The Chemistry of Solid Wood. Advances in Chemistry Series ISSN 0065-2393; 207, Am. Chem Sco. Washington, DC 1984, 614 p.Google Scholar

  • Sandak, J., Sandak, A., Meder, R. (2016) Assessing trees, wood and derived products with near infrared spectroscopy: hints and tips. J. NIR Spectr. 24:485–505.CrossrefGoogle Scholar

  • Sandak, A., Burud, I., Flø, A., Thiis, T., Gobakken, L.R., Sandak, J. (2017) Hyperspectral imaging of weathered wood samples in transmission mode. Intern. Wood Prod. J. 8:9–13.CrossrefGoogle Scholar

  • Schwanninger, M., Rodrigues, J., Fackler, K. (2011) A review of band assignments in near infrared spectra of wood and wood components. J. NIR Spectr. 19:287–308.CrossrefGoogle Scholar

  • Shi, J.L., Zhang, S.Y., Riedl, B. (2005) Effect of juvenile wood on strength properties and dimensional stability of black spruce medium-density fiberboard panels. Holzforschung 59:1–9.CrossrefGoogle Scholar

  • Wang, M., Stewart, J.D. (2012) Determining the transition from juvenile to mature wood microfibril angle in lodgepole pine: a comparison of six different two-segment models. Ann. Forest Sci. 69:927–937.Web of ScienceCrossrefGoogle Scholar

  • Williams, P., Geladi, P., Fox, G., Manley, M. (2009) Maize kernel hardness classification by near infrared (NIR) hyperspectral imaging and multivariate data analysis. Analytica Chimica Acta 653:121–130.Web of ScienceCrossrefPubMedGoogle Scholar

  • Zitek, A., Firtha, F., Böhm, K., Parrag, V., Sandak, J., Hinterstoisser, B. (2014) Inspection of log quality by hyperspectral imaging. Fifth IASIM conference in spectral Imaging, IASIM-14, Dec 3-5, 2014, Rome, Italy.Google Scholar

  • Zobel, B.J., Sprague, J.R. Juvenile Wood in Forest Trees. Springer-Verlag, Berlin Heidelberg, 1998, p. 304.Google Scholar

About the article

Received: 2018-08-24

Accepted: 2018-12-19

Published Online: 2019-02-19

Published in Print: 2019-06-26


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

Research funding: This study has been carried out with the support of the Ministry of Economy and Competitivity of the Government of Spain through the Project RTA2014-00005-00-00, and the Training Program for Research Staff (FPI-INIA).

Employment or leadership: None declared.

Honorarium: None declared.


Citation Information: Holzforschung, Volume 73, Issue 7, Pages 621–627, ISSN (Online) 1437-434X, ISSN (Print) 0018-3830, DOI: https://doi.org/10.1515/hf-2018-0186.

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