NIR hyperspectral imaging (NIR-HI) and μXRD for determination of the transition between juvenile and mature wood of Pinus sylvestris L.
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Antonio Ruano
,
Andreas Zitek
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.
Acknowledgments
I would like to thank Ferenc Firtha for developing the filtering algorithms which enabled the automated correction of dead pixels in the hyperspectral images and to Enrique Garriga and Ramon García who helped me on the field work. Thanks are also due to Juan Carlos Cabrero who came up with creative ways on how to proceed, to Eduardo Trobajo who did the μXRD and to the carpenter Emilio Camacho who made the processing of the samples possible.
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.
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.Search in 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. 51:887–907.10.1007/s00226-017-0903-zSearch in Google 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. 30:59–70.10.1163/22941932-90000203Search in Google 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 67:59–65.10.1515/hf-2011-0258Search in Google Scholar
Firtha, F. (2010) Argus hyperspectral acquisition software, ftp://fizika2.kee.hu/ffirtha/Argus-CuBrowser.pdf, accessed 23.08.2018.Search in Google Scholar
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 8:3287–3298.10.3390/s8053287Search in Google Scholar PubMed PubMed Central
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. 50:221–243.10.1007/s00226-015-0767-zSearch in Google 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 66:155–161.10.1515/HF.2011.141Search in Google 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. 12:103–110.10.5424/1082Search in 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.Search in 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. 43:237–257.10.1007/s00226-008-0232-3Search in Google 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 69:329–335.10.1515/hf-2014-0021Search in Google 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.Search in 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. 42.10.2737/FPL-GTR-129Search in 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 71:341–347.10.1515/hf-2016-0153Search in Google 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 63:449–456.10.1515/HF.2009.069Search in Google 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. 44:820–830.10.1139/cjfr-2013-0329Search in Google 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.Search in Google Scholar
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/.Search in Google Scholar
Rodriguez, E., Ortega, M. (2008) Tendencias radiales de la densidad y sus componentes en Pinus nigra Arn. de la Península Ibérica. Forest Sys. 15:120–133.10.5424/srf/2006151-00958Search in 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.10.1021/ba-1984-0207Search in 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. 24:485–505.10.1255/jnirs.1255Search in Google 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. 8:9–13.10.1080/20426445.2016.1237079Search in Google 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. 19:287–308.10.1255/jnirs.955Search in Google 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 59:1–9.10.1515/HF.2005.001Search in Google 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. 69:927–937.10.1007/s13595-012-0226-zSearch in Google 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 653:121–130.10.1016/j.aca.2009.09.005Search in Google Scholar PubMed
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.Search in Google Scholar
Zobel, B.J., Sprague, J.R. Juvenile Wood in Forest Trees. Springer-Verlag, Berlin Heidelberg, 1998, p. 304.10.1007/978-3-642-72126-7Search in Google Scholar
©2019 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Articles
- Synchrotron X-ray measurements of cellulose in wood cell wall layers of Pinus densiflora in the transmission and reflectance modes. Part 1: results without loading
- NIR hyperspectral imaging (NIR-HI) and μXRD for determination of the transition between juvenile and mature wood of Pinus sylvestris L.
- Characterization of the pits in parenchyma cells of the moso bamboo [Phyllostachys edulis (Carr.) J. Houz.] culm
- Identification of chemical constituents from the bark of Larix kaempferi and their tyrosinase inhibitory effect
- Oxygen delignification: laboratory evaluation of the impact of dissolved organic matter, sodium carbonate and sodium thiosulfate
- A study of thermo-hydro-treated (THT) birch wood by chemical analysis and Py-GC/MS
- Thermally modified (TM) beech wood: compression properties, fracture toughness and cohesive law in mode II obtained from the three-point end-notched flexure (3ENF) test
- Cellulolytic activity of brown-rot Antrodia sinuosa at the initial stage of cellulose degradation
- Ligninases remove phenolic inhibitors and facilitate yeast growth in lignocellulosic hydrolysate
- Development of a reinforced styrene-free unsaturated polyester composite based on bamboo fibers
- Functionalisation of poly(ethylene terephthalate) (PET) surfaces with two cationised xylans by means of two anchoring polymers
Articles in the same Issue
- Frontmatter
- Original Articles
- Synchrotron X-ray measurements of cellulose in wood cell wall layers of Pinus densiflora in the transmission and reflectance modes. Part 1: results without loading
- NIR hyperspectral imaging (NIR-HI) and μXRD for determination of the transition between juvenile and mature wood of Pinus sylvestris L.
- Characterization of the pits in parenchyma cells of the moso bamboo [Phyllostachys edulis (Carr.) J. Houz.] culm
- Identification of chemical constituents from the bark of Larix kaempferi and their tyrosinase inhibitory effect
- Oxygen delignification: laboratory evaluation of the impact of dissolved organic matter, sodium carbonate and sodium thiosulfate
- A study of thermo-hydro-treated (THT) birch wood by chemical analysis and Py-GC/MS
- Thermally modified (TM) beech wood: compression properties, fracture toughness and cohesive law in mode II obtained from the three-point end-notched flexure (3ENF) test
- Cellulolytic activity of brown-rot Antrodia sinuosa at the initial stage of cellulose degradation
- Ligninases remove phenolic inhibitors and facilitate yeast growth in lignocellulosic hydrolysate
- Development of a reinforced styrene-free unsaturated polyester composite based on bamboo fibers
- Functionalisation of poly(ethylene terephthalate) (PET) surfaces with two cationised xylans by means of two anchoring polymers
