A Review of Recent Near-Infrared Research for Wood and Paper (Part 2)

Abstract: This review article introduces recent technical and scientific reports on near-infrared (NIR) spectroscopy in the wood and paper industry, which have increased during the last decade. Many researchers have reported that the NIR technique is useful for detection of both chemical and physical properties of wood materials and has been widely used in cases where the characteristic cellular structure of the material is retained. With regard to application of NIR spectroscopy to pulp and paper, many publications have reported its potential as an on-line measurement technique during paper-making process control. NIR spectroscopy is considered fundamental in applied research on wood and paper. Utilization of NIR spectroscopy in the wood and paper industry should take into account its applicability and limitations as a nondestructive technique.

[1]  E. Pigorsch.  Short Communication: Classification of Offset and Flexo Printed Newspapers by near Infrared Spectroscopy , 2010 .

[2]  Roger Meder,et al.  Near Infrared Hyperspectral Imaging Applied to Mapping Chemical Composition in Wood Samples , 2010 .

[3]  B. Dalpke,et al.  Predictions of wood density and module of elasticity of balsam fir (Abies balsamea) and black spruce (Picea mariana) from near infrared spectral analyses , 2011 .

[4]  Carlos Vaca-Garcia,et al.  NIR Study of Chemically Modified Cellulosic Biopolymers , 2006 .

[5]  J. Morrell,et al.  Potential of near infrared spectroscopy to assess hot-water-soluble extractive content and decay resistance of a tropical hardwood , 2008, Holz als Roh- und Werkstoff.

[6]  S. Tsuchikawa,et al.  Monitoring of hydroxyl groups in wood during heat treatment using NIR spectroscopy. , 2008, Biomacromolecules.

[7]  Torbjörn A. Lestander,et al.  Water absorption thermodynamics in single wood pellets modelled by multivariate near-infrared spectroscopy , 2008 .

[8]  L. Schimleck,et al.  NEAR-INFRARED SPECTROSCOPY : A RAPID NON-DESTRUCTIVE METHOD FOR MEASURING WOOD PROPERTIES , AND ITS APPLICATION TO TREE BREEDING * , 2007 .

[9]  J. Gigac,et al.  PRELIMINARY STUDY OF WOOD SPECIES IDENTIFICATION BY NIR SPECTROSCOPY , 2009 .

[10]  Christian R. Mora,et al.  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 , 2008 .

[11]  S. Tsuchikawa,et al.  Discriminant Analyzing System for Wood Wastes Using a Visible—Near-Infrared Chemometric Imaging Technique , 2008, Applied spectroscopy.

[12]  L. Brancheriau,et al.  Predicting Microfibril Angle in Eucalyptus Wood from Different Wood Faces and Surface Qualities Using near Infrared Spectra , 2010 .

[13]  Hiroyuki Yamamoto,et al.  Estimation of Wood Stiffness and Strength Properties of Hybrid Larch by Near-Infrared Spectroscopy , 2007, Applied spectroscopy.

[14]  M. Schwanninger,et al.  A common near infrared—based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis , 2010, Wood Science and Technology.

[15]  C. Plomion,et al.  Genetic parameters of growth, straightness and wood chemistry traits in Pinus pinaster , 2011, Annals of Forest Science.

[16]  Jeff Lloyd,et al.  Potential of near infrared spectroscopy to quantify boron concentration in treated wood , 2007 .

[17]  Leslie H. Groom,et al.  Within tree variation of lignin, extractives, and microfibril angle coupled with the theoretical and near infrared modeling of microfibril angle , 2007 .

[18]  S. Tsuchikawa,et al.  Near-Infrared Spectroscopic Investigation of the Hydrothermal Degradation Mechanism of Wood as an Analogue of Archaeological Wood. Part II: Hardwood , 2009, Applied spectroscopy.

[19]  R. Wimmer,et al.  Prediction of natural durability of commercial available European and Siberian larch by near-infrared spectroscopy , 2006 .

[20]  Roger Meder,et al.  A Multi-Site, Multi-Species near Infrared Calibration for the Prediction of Cellulose Content in Eucalypt Woodmeal , 2010 .

[21]  Catherine Higgitt,et al.  Non-destructive characterisation of iron gall ink drawings: not such a galling problem. , 2010, Talanta.

[22]  Karin Fackler,et al.  Lignin degradation by white rot fungi on spruce wood shavings during short-time solid-state fermentations monitored by near infrared spectroscopy , 2006 .

[23]  S. Kelley,et al.  Two-dimensional homo- and hetero-correlation technique applied to NIR and py-MBMS spectra of wood , 2008 .

[24]  Thomas L. Eberhardt,et al.  Chemical and Calorific Characterisation of Longleaf Pine Using near Infrared Spectroscopy , 2010 .

[25]  K. Fackler,et al.  Evaluation of the selectivity of white rot isolates using near infrared spectroscopic techniques , 2007 .

[26]  Laszlo Horvath,et al.  Use of transmittance near-infrared spectroscopy to predict the mechanical properties of 1- and 2-year-old transgenic aspen , 2011, Wood Science and Technology.

[27]  B. Dawson-Andoh,et al.  Predicting moisture content of yellow-poplar (Liriodendron tulipifera L.) veneer using near infrared spectroscopy , 2008 .

[28]  H. Baillères,et al.  Quantitative assessment of total phenol contents of European oak (Quercus petraea and Quercus robur) by diffuse reflectance NIR spectroscopy on solid wood surfaces , 2008 .

[29]  Roger Meder,et al.  Developing and evaluating a multisite and multispecies NIR calibration for the prediction of Kraft pulp yield in eucalypts , 2009 .

[30]  E. Carrasco,et al.  Chair load analysis during daily sitting activities , 2008 .

[31]  Monica Casale,et al.  Classification of Pernambuco (Caesalpinia Echinata Lam.) Wood Quality by near Infrared Spectroscopy and Linear Discriminant Analysis , 2010 .

[32]  Zhong Yang,et al.  [Effects of spectral pretreatment on the prediction of crystallinity of wood cellulose using near infrared spectroscopy]. , 2007, Guang pu xue yu guang pu fen xi = Guang pu.

[33]  Wei Zhang,et al.  [Recent progress in NIR spectroscopy technology and its application to the field of forestry]. , 2008, Guang pu xue yu guang pu fen xi = Guang pu.

[34]  Optical characteristics of wood investigated by time-of-flight near infrared spectroscopy , 2011 .

[35]  K. Ono,et al.  Spectrophotometrical characteristics in the near infrared region in beech (Fagus crenata) and pine (Pinus densiflora) litters at the various decomposing stages , 2007, Journal of Forest Research.

[36]  A. Clark,et al.  The Effect of Mid-Rotation Fertilization on the Wood Properties of Loblolly Pine (Pinus Taeda) , 2009 .

[37]  S. Avramidis,et al.  Application of near-infrared spectroscopy for moisture-based sorting of green hem-fir timber , 2011, Journal of Wood Science.

[38]  M. Schwanninger,et al.  Application of near infrared spectroscopy and multivariate data analysis for the evaluation of glue lines of untreated and copper azole treated laminated timber before and after ageing. , 2009 .

[39]  Christian R. Mora,et al.  Determination of within-tree variation of Pinus taeda wood properties by near infrared spectroscopy. Part 1: Development of multiple height calibrations. , 2009 .

[40]  Prediction of Oriented Strand Board Wood Strand Density by near Infrared and Fourier Transform Infrared Reflectance Spectroscopy , 2010 .

[41]  Spatially-Resolved Radial Scanning of Tree Increment Cores for near Infrared Prediction of Microfibril Angle and Chemical Composition , 2010 .

[42]  P. F. Trugilho,et al.  PREDICTING THE MORPHOLOGICAL CHARACTERISTICS AND BASIC DENSITY OF Eucalyptus WOOD USING THE NIRS TECHNIQUE , 2009 .

[43]  Vincent L. Chiang,et al.  Rapid analysis of transgenic trees using transmittance near-infrared spectroscopy (NIR) , 2006 .

[44]  L. Brancheriau,et al.  Rapid prediction of shrinkage and fibre saturation point on teak (Tectona grandis) wood based on near-infrared spectroscopy , 2010, Annals of Forest Science.

[45]  P. Perré,et al.  Characterisation of the torrefaction of beech wood using NIRS: Combined effects of temperature and duration , 2011 .

[46]  J. Roger,et al.  Correction of moisture effects on near infrared calibration for the analysis of phenol content in eucalyptus wood extracts , 2008, Annals of Forest Science.

[47]  Myong K. Jeong,et al.  WOOD SHRINKAGE PREDICTION USING NIR SPECTROSCOPY , 2008 .

[48]  O. Høibø,et al.  Development of chemometric models based on near infrared spectroscopy and thermogravimetric analysis for predicting the treatment level of furfurylated Scots pine , 2010, Wood Science and Technology.

[49]  L. Schimleck,et al.  Utilisation of near Infrared Spectroscopy in Pinus Taeda Progeny Tests Located in Southern Brazil , 2010 .

[50]  D Comelli,et al.  Time-Resolved Optical Spectroscopy of Wood , 2008, Applied spectroscopy.

[51]  I. Karaman,et al.  Determination of lignin and extractive content of Turkish Pine (Pinus brutia Ten.) trees using near infrared spectroscopy and multivariate calibration , 2010, Wood Science and Technology.

[52]  Satoru Tsuchikawa,et al.  Eucalyptus camaldulensis density and fiber length estimated by near-infrared spectroscopy , 2010, Wood Science and Technology.

[53]  Gilles Chaix,et al.  Near infrared spectroscopy for estimating wood basic density in eucalyptus urophylla and Eucalyptus grandis , 2009 .

[54]  Leslie H. Groom,et al.  Response of near Infrared Diffuse Reflectance Spectra to Blue Stain and Wood Age , 2008 .

[55]  Satoru Tsuchikawa,et al.  A Review of Recent Near Infrared Research for Wood and Paper , 2007 .

[56]  Å. Rinnan,et al.  Determination of weight percent gain in solid wood modified with in situ cured furfuryl alcohol by near-infrared reflectance spectroscopy , 2008 .

[57]  Sheng Yao,et al.  Determination of lignin content in Acacia spp. using near-infrared reflectance spectroscopy , 2010, BioResources.

[58]  Zhuoyong Zhang,et al.  Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine. , 2009, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[59]  Hyun-Woo Cho,et al.  Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data , 2011, Ann. Oper. Res..

[60]  Karin Fackler,et al.  Polysaccharide Degradation and Lignin Modification during Brown Rot of Spruce Wood: A Polarised Fourier Transform near Infrared Study , 2010 .

[61]  P. D. Jones,et al.  Microfibril Angle Prediction of Pinus Taeda Wood Samples Based on Tangential Face Nir Spectra , 2007 .

[62]  Christian R. Mora,et al.  Characterization of the wood quality of pernambuco (Caesalpinia echinata Lam) by measurements of density, extractives content, microfibril angle, stiffness, color, and NIR spectroscopy , 2009 .

[63]  G. Downes,et al.  Estimation of Whole-Tree Wood Quality Traits Using near Infrared Spectra of Increment Cores , 2006 .

[64]  Gilles Chaix,et al.  in press-uncorrected proof Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla , 2009 .

[65]  Near Infrared Spectroscopy and Chemometrics for Predicting Specific Gravity and Flexural Modulus of Elasticity of Pinus spp. Veneers , 2010 .

[66]  I. Zabalgogeazcoa,et al.  Near-infrared reflectance spectroscopy as a fast and non-destructive tool to predict foliar organic constituents of several woody species , 2006, Analytical and bioanalytical chemistry.

[67]  Moisture Measurement in Timber Utilising a Multi-Layer Partial Least Squares Calibration Approach , 2010 .

[68]  B. Dawson-Andoh,et al.  Classification of Red Oak (Quercus Rubra) and White Oak (Quercus Alba) Wood Using a near Infrared Spectrometer and Soft Independent Modelling of Class Analogies , 2008 .

[69]  Satoru Tsuchikawa,et al.  Application of near Infrared Spectroscopy for Estimating Wood Mechanical Properties of Small Clear and Full Length Lumber Specimens , 2008 .

[70]  G. Downes,et al.  Radial Variation in Cellulose Content and Kraft Pulp Yield in Eucalyptus Nitens using Near-Infrared Spectral Analysis of Air-Dry Wood Surfaces , 2010 .

[71]  Magdalena Sterley,et al.  Separating Norway spruce heartwood and sapwood in dried condition with near-infrared spectroscopy and multivariate data analysis , 2009, European Journal of Forest Research.

[72]  Bo Johnsson,et al.  NIR techniques create added values for the pellet and biofuel industry. , 2009, Bioresource technology.

[73]  Laurence R. Schimleck,et al.  Extending Near Infrared Reflectance(NIR) Pulp Yield Calibrations to NewSites and Species , 2006 .

[74]  S. Tsuchikawa,et al.  Feasibility of Near-Infrared Spectroscopy for On-Line Grading of Sawn Lumber , 2010, Applied spectroscopy.

[75]  Rong-jun Zhao,et al.  [Estimation of modulus of elasticity of Eucalyptus pellita wood by near infrared spectroscopy]. , 2009, Guang pu xue yu guang pu fen xi = Guang pu.

[76]  L. Schimleck,et al.  Adjusting Near Infrared Wood Property Calibrations for Central Brazil to Predict the Wood Properties of Samples from Southern Brazil , 2009 .

[77]  M. Schwanninger,et al.  NIR PLSR model selection for Kappa number prediction of maritime pine Kraft pulps , 2007, Wood Science and Technology.

[78]  Sheng Yao,et al.  The Accuracy of near Infrared Prediction of Hemicellulose Content Arising from Varying Introduced Errors , 2010 .

[79]  J. Sandak,et al.  Near infrared spectroscopy as a tool for archaeological wood characterization , 2010 .

[80]  Notburga Gierlinger,et al.  The potential of Raman microscopy and Raman imaging in plant research , 2007 .

[81]  Satoru Tsuchikawa,et al.  Near-Infrared Spectroscopic Monitoring of the Water Adsorption/Desorption Process in Modern and Archaeological Wood , 2008, Applied spectroscopy.

[82]  Brian Bond,et al.  Determination of moisture content and density of fresh-sawn red oak lumber by near infrared spectroscopy , 2007 .

[83]  M. Schwanninger,et al.  Non-destructive determination of cellulose functional groups and molecular weight in pulp hand sheets and historic papers by NIR-PLS-R , 2009 .

[84]  M. Schwanninger,et al.  Determination of the weight percentage gain and of the acetyl group content of acetylated wood by means of different infrared spectroscopic methods. , 2008, Analytical chemistry.

[85]  L. Mendes,et al.  NEAR INFRARED SPECTROSCOPY TO EVALUATE COMPOSITION OF AGRO-BASED PARTICLEBOARDS , 2009 .

[86]  V. Kothiyal,et al.  Estimating mechanical properties and specific gravity for five-year-old Eucalyptus tereticornis having broad moisture content range by NIR spectroscopy , 2011 .

[87]  Zhuo-yong Zhang,et al.  [Quantitative prediction of holocellulose, lignin, and microfibril angle of Chinese fir by BP-ANN and NIR spectrometry]. , 2009, Guang pu xue yu guang pu fen xi = Guang pu.

[88]  Correlation of Near-Infrared Spectroscopy Measurements with the Properties of Treated Wood , 2007 .

[89]  G. Wegener,et al.  Relations between chemical changes and mechanical properties of thermally treated wood 10th EWLP, Stockholm, Sweden, August 25–28, 2008 , 2009 .

[90]  K. Fackler,et al.  Fungal decay of spruce and beech wood assessed by near-infrared spectroscopy in combination with uni- and multivariate data analysis , 2007 .

[91]  G. Peter,et al.  Effects of Specific Gravity and Wood Chemical Content on the Pulp Yield of Loblolly Pine , 2009 .

[92]  J Kolar,et al.  Use of genetic algorithms with multivariate regression for determination of gelatine in historic papers based on FT-IR and NIR spectral data. , 2010, Talanta.

[93]  J. Louw,et al.  The use of near-infrared scanning for the prediction of pulp yield and chemical properties of Pinus patula in the Mpumalanga escarpment area of South Africa , 2010 .

[94]  S. Tsuchikawa,et al.  Identification of Dead and Sound Knots by near Infrared Spectroscopy , 2010 .

[95]  A. Clark,et al.  High resolution scanning of radial strips cut from increment cores by near infrared spectroscopy , 2007 .

[96]  Benhua Fei,et al.  Use of Visible and Near Infrared Spectroscopy to Predict Klason Lignin Content of Bamboo, Chinese Fir, Paulownia, and Poplar , 2008 .

[97]  G. Downes,et al.  Estimation of 'Eucalyptus nitens' Wood Properties by Near Infrared Spectroscopy , 2003 .

[98]  H. Pereira,et al.  Quality assessment of heat-treated wood by NIR spectroscopy , 2008, Holz als Roh- und Werkstoff.

[99]  Carolyn A Raymond,et al.  Predicting Extractives, Lignin, and Cellulose Contents Using Near Infrared Spectroscopy on Solid Wood in Eucalyptus globulus , 2006 .

[101]  Satoru Tsuchikawa,et al.  Difference of the crystal structure of cellulose in wood after hydrothermal and aging degradation: a NIR spectroscopy and XRD study. , 2010, Biomacromolecules.

[102]  Jordi-Roger Riba,et al.  Potential of infrared spectroscopy in combination with extended canonical variate analysis for identifying different paper types , 2011 .

[103]  T. Young,et al.  On-Line Monitoring of the Buffer Capacity of Particleboard Furnish by Near-Infrared Spectroscopy , 2006, Applied spectroscopy.

[104]  Glen Murphy,et al.  Use of near infrared spectroscopy and multivariate analysis to predict the wood density of Douglas-fir from chain saw chips , 2006 .

[105]  B. Dawson-Andoh,et al.  Prediction of Yellow-Poplar (Liriodendron Tulipifera) Veneer Stiffness and Bulk Density Using near Infrared Spectroscopy and Multivariate Calibration , 2008 .

[106]  Tereza Cristina Monteiro Pastore,et al.  Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: Discrimination of true mahogany, cedar, andiroba, and curupixá , 2010 .

[107]  Chi-Leung So,et al.  Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy , 2007, Journal of Wood Science.

[108]  G. McCarty,et al.  Near Infrared Spectroscopic Examination of Charred Pine Wood, Bark, Cellulose and Lignin: Implications for the Quantitative Determination of Charcoal in Soils , 2007 .

[109]  Christian R. Mora,et al.  Near Infrared Calibration Models for the Estimation of Wood Density in Pinus Taeda Using Repeated Sample Measurements , 2008 .

[110]  G. Hodge,et al.  Global near Infrared Models to Predict Lignin and Cellulose Content of Pine Wood , 2010 .

[111]  C. Plomion,et al.  Improvement of Pinus pinaster Ait elite trees selection by combining near infrared spectroscopy and genetic tools , 2007 .

[112]  Zehui Jiang,et al.  Prediction of mechanical properties of Chinese fir wood by near infrared spectroscopy , 2009 .

[113]  Hem Chandra Kandpal,et al.  Near infrared spectroscopic investigation of the thermal degradation of wood , 2010 .

[114]  J. Baeza,et al.  Estimation of Hexenuronic Acids and Kappa Number in Kraft Pulps of Eucalyptus Globulus by Fourier Transform near Infrared Spectroscopy and Multivariate Analysis , 2008 .

[115]  K. Fackler,et al.  Qualitative and quantitative changes of beech wood degraded by wood-rotting basidiomycetes monitored by Fourier transform infrared spectroscopic methods and multivariate data analysis. , 2007, FEMS microbiology letters.

[116]  An-min Huang,et al.  [Determination of holocellulose and lignin content in Chinese fir by near infrared spectroscopy]. , 2007, Guang pu xue yu guang pu fen xi = Guang pu.

[117]  Laigeng Li,et al.  Rapid characterization of woody biomass digestibility and chemical composition using near-infrared spectroscopy. , 2011, Journal of integrative plant biology.

[118]  I. Celen,et al.  A multivariate approach to the acetylated poplar wood samples by near infrared spectroscopy , 2008 .

[119]  C. So,et al.  Rapid analysis of inner and outer bark composition of Southern Yellow Pine bark from industrial sources , 2006, Holz als Roh- und Werkstoff.

[120]  Leslie H. Groom,et al.  The Response of Visible/Near Infrared Absorbance to Wood-Staining Fungi , 2006 .

[121]  L. Mendes,et al.  Calibrations based on near infrared spectroscopic data to estimate wood-cement panel properties. , 2009 .

[122]  S. Avramidis,et al.  Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range , 2010, European Journal of Wood and Wood Products.

[123]  Y. Ozaki,et al.  Temperature-Dependent Structural Changes in Hydrogen Bonds in Microcrystalline Cellulose Studied by Infrared and Near-Infrared Spectroscopy with Perturbation-Correlation Moving-Window Two-Dimensional Correlation Analysis , 2006, Applied spectroscopy.

[124]  Lucian A. Lucia,et al.  Near-Infrared Spectroscopy and Chemometric Analysis for Determining Oxygen Delignification Yield , 2008 .

[125]  L. Schimleck,et al.  Toward Global Calibrations for Estimating the Wood Properties of Tropical, Sub-Tropical and Temperate Pine Species , 2010 .

[126]  Richard F. Daniels,et al.  Nondestructive estimation of wood chemical composition of sections of radial wood strips by diffuse reflectance near infrared spectroscopy , 2006, Wood Science and Technology.

[127]  Christian R. Mora,et al.  Alternative methods for Nondestructively determining Modulus of Elasticity in young trees , 2010 .

[128]  T. Lestander,et al.  Prediction of Pinus sylvestris clear-wood properties using NIR spectroscopy and biorthogonal partial least squares regression , 2008 .

[129]  A. Milagres,et al.  Degradation of eucalypt waste components by Lentinula edodes strains detected by chemical and near-infrared spectroscopy methods , 2007, Applied biochemistry and biotechnology.

[130]  R. Meder,et al.  Rapid estimation of kraft pulp yield and lignin in Eucalyptus camaldulensis and Leucaena leucocephala by diffuse reflectance near-infrared spectroscopy (NIRS) , 2010 .

[131]  Junliang Liu,et al.  Application of FT-NIR-DR and FT-IR-ATR spectroscopy to estimate the chemical composition of bamboo (Neosinocalamus affinis Keng) , 2011 .

[132]  Helena Pereira,et al.  NIR PLSR results obtained by calibration with noisy, low-precision reference values: Are the results acceptable? , 2006 .

[133]  Nicolas André,et al.  Assessment of wood load condition by Near Infrared (NIR) spectroscopy , 2006 .

[134]  Jakub Sandak,et al.  Relationship between near-infrared (NIR) spectra and the geographical provenance of timber , 2011, Wood Science and Technology.

[135]  M. Jeong,et al.  Quick assessment of the thermal decomposition behavior of lignocellulosic biomass by near infrared spectroscopy and its statistical analysis , 2009 .

[136]  I. Karaman,et al.  Prediction of Lignin and Extractive Content of Pinus nigra Arnold. var. Pallasiana Tree Using Near Infrared Spectroscopy and Multivariate Calibration , 2009 .

[137]  Y. Ozaki,et al.  A Study on Water Adsorption onto Microcrystalline Cellulose by Near-Infrared Spectroscopy with Two-Dimensional Correlation Spectroscopy and Principal Component Analysis , 2006, Applied spectroscopy.

[138]  Carl-Fredrik Mandenius,et al.  On-line predictions of the aspen fibre and birch bark content in unbleached hardwood pulp, using NIR spectroscopy and multivariate data analysis , 2010 .

[139]  Richard F. Daniels,et al.  Comparison of Pinus taeda L. whole-tree wood property calibrations using diffuse reflectance near infrared spectra obtained using a variety of sampling options , 2008, Wood Science and Technology.

[140]  Jeffrey J. Morrell,et al.  Analytical tools to predict changes in properties of oriented strandboard exposed to the fungus Postia placenta , 2006 .

[141]  Laurence R. Schimleck,et al.  Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared spectroscopy , 2010, Wood Science and Technology.

[142]  L. Mendes,et al.  Estimation of physical and mechanical properties of agro-based particleboards by near infrared spectroscopy , 2011, European Journal of Wood and Wood Products.

[143]  P. D. Jones,et al.  Pinus Taeda L. Wood Property Calibrations Based on Variable Numbers of near Infrared Spectra per Core and Cores per Plantation , 2007 .

[144]  P. Saranpää,et al.  FT-NIR spectroscopy in predicting the decay resistance related characteristics of solid Scots pine (Pinus sylvestris L.) heartwood , 2008 .

[145]  J. Freer,et al.  SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA , 2008 .

[146]  Tereza Cristina Monteiro Pastore,et al.  The use of near Infrared Spectroscopy to Identify solid wood Specimens of Swietenia Macrophylla0 (Cites Appendix II) , 2011 .

[147]  Jordi-Roger Riba,et al.  Characterization of paper finishes by use of infrared spectroscopy in combination with canonical variate analysis , 2008 .

[148]  Xiao-dong Fu,et al.  [Extending hemicelluloses content calibration of Acacia spp using NIR to new sites]. , 2010, Guang pu xue yu guang pu fen xi = Guang pu.

[149]  Hans Hartmann,et al.  Moisture content determination in solid biofuels by dielectric , 2006 .

[150]  P. D. Jones,et al.  Rapid Assessment of Southern Pine Decayed by G. Trabeum by Near Infrared Spectra Collected from the Radial Surface , 2010 .

[151]  I. Burgert,et al.  Biotechnological Wood Modification with Selective White-Rot Fungi and Its Molecular Mechanisms , 2007 .

[152]  Helena Pereira,et al.  Calibration of NIR to assess lignin composition (H/G ratio) in maritime pine wood using analytical pyrolysis as the reference method , 2006 .

[153]  A. Guesalaga,et al.  A Portable Method to Estimate Wood Basic Density from Increment Cores Using Spectroscopic Techniques , 2010 .

[154]  S. Tsuchikawa,et al.  Feasibility of near-infrared spectroscopy for online multiple trait assessment of sawn lumber , 2010, Journal of Wood Science.

[155]  Xue-Shun Wang,et al.  [Study on denoising near infrared spectra of wood based on wavelet transform]. , 2009, Guang pu xue yu guang pu fen xi = Guang pu.

[156]  Marie-Pierre Laborie,et al.  Rapid Prediction of the Chemical Traits of Hybrid Poplar with Near Infrared Spectroscopy , 2008 .

[157]  Rapid characterization of biomass using near infrared spectroscopy coupled with multivariate data analysis: Part 1. Yellow-poplar (Liriodendron tulipifera L.). , 2010, Bioresource technology.

[158]  C. Breuil,et al.  Predicting Wood Decay and Density Using Nir Spectroscopy , 2007 .

[159]  Gilles Chaix,et al.  Resonance and near Infrared Spectroscopy for Evaluating Dynamic Wood Properties , 2010 .

[160]  P. R. Hein,et al.  Robustness of Models Based on near Infrared Spectra to Predict the Basic Density in Eucalyptus Urophylla Wood , 2009 .

[161]  G. Wegener,et al.  Evaluation of thermally modified beech and spruce wood and their properties by FT-NIR spectroscopy , 2010, Wood Science and Technology.

[162]  Comparison of methods to evaluate the potential of fungal growth on decay of spruce wood after short-time treatment , 2008 .

[163]  S. Tsuchikawa,et al.  Near-infrared spectroscopic analysis of aging degradation in antique washi paper using a deuterium exchange method , 2009 .

[164]  I. Burgert,et al.  Biotehnološka razgradnja i molekularni mehanizmi razgradnje drveta pomoću selektivnih gljiva, uzročnika bijele truleži , 2007 .

[165]  Patrick Rousset,et al.  Discrimination of native wood charcoal by infrared spectroscopy , 2010 .