A review of near-infrared spectroscopy for monitoring moisture content and density of solid wood

This review article examines past and current research on the application of near-infrared (NIR) reflectance/transmittance spectroscopy (NIRS) for real-time monitoring of moisture content and density of solid wood. Most of the applications of NIRS on solid wood have focussed on the application of multivariate statistics as exploratory tools for the prediction of physical, chemical and mechanical properties, such as moisture content, density, stiffness, cellulose and lignin content. However, very few studies on the development of optical models and the use of NIRS transmittance techniques on solid wood have been reported. NIRS technology has the potential to be used as a rapid tool that could be employed for at-line measurement and monitoring of wood properties in the forest products industry.

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

[2]  Robert W. Sykes,et al.  Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy , 2005 .

[3]  L. Schimleck,et al.  NIR spectroscopy of woods from Eucalyptus globulus , 1996 .

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

[5]  Robert Evans,et al.  Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy , 2001 .

[6]  M Smith,et al.  Near infrared spectroscopy. , 1999, British journal of anaesthesia.

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

[8]  Richard F. Daniels,et al.  Nondestructive estimation of Pinus taeda L. wood properties for samples from a wide range of sites in Georgia , 2005 .

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

[10]  Leslie H. Groom,et al.  Ability of near infrared spectroscopy to monitor air-dry density distribution and variation of wood , 2005 .

[11]  A. Sundberg,et al.  Polysaccharides in some industrially important hardwood species , 2005, Wood Science and Technology.

[12]  Christian R. Mora,et al.  Determination of Basic Density and Moisture Content of Loblolly Pine Wood Disks Using a near Infrared Hyperspectral Imaging System , 2011 .

[13]  O. Hagman,et al.  Multivariate prediction of wood surface features using an imaging spectrograph , 1997, Holz als Roh- und Werkstoff.

[14]  C. Huck,et al.  Near Infrared Spectroscopy for Polymer Research, Quality Control and Reaction Monitoring , 2007 .

[15]  Olle Hagman,et al.  Real-time spectral classification of compression wood inPicea abies , 1999, Journal of Wood Science.

[16]  Lisbeth G. Thygesen,et al.  NIR Measurement of Moisture Content in Wood under Unstable Temperature Conditions. Part 1. Thermal Effects in near Infrared Spectra of Wood , 2000 .

[17]  Satoru Tsuchikawa,et al.  Nondestructive Measurement of the Subsurface Structure of Biological Material Having Cellular Structure by Using Near-Infrared Spectroscopy , 1996 .

[18]  J. Kadla,et al.  Rapid prediction of solid wood lignin content using transmittance near-infrared spectroscopy. , 2004, Journal of agricultural and food chemistry.

[19]  Leslie H. Groom,et al.  Multivariate Modelling of Density, Strength and Stiffness from near Infrared Spectra for Mature, Juvenile and Pith Wood of Longleaf Pine (Pinus Palustris) , 2003 .

[20]  L. Buydens,et al.  Development of robust calibration models in near infra-red spectrometric applications , 2000 .

[21]  S. Tsutsumi,et al.  Directional Characteristics of near Infrared Light in the Process of Radiation and Transmission from Wood , 1998 .

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

[23]  Michael B. Simpson.  Near‐Infrared Spectroscopy for Process Analytical Technology: Theory, Technology and Implementation , 2007 .

[24]  LeblonBrigitte,et al.  Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer , 2013 .

[25]  S. Tsuchikawa.  Non-Traditional Applications of near Infrared Spectroscopy Based on the Optical Characteristic Models for a Biological Material Having Cellular Structure , 1998 .

[26]  Karsten Rebner,et al.  Hyperspectral Imaging: A Review of Best Practice, Performance and Pitfalls for in-line and on-line Applications , 2012 .

[27]  S. Kelley,et al.  Use of near infrared spectroscopy to predict the mechanical properties of six softwoods , 2004 .

[28]  D. Jeremic,et al.  Comparative analysis of balsam fir wetwood, heartwood, and sapwood properties , 2004 .

[29]  Lisbeth G. Thygesen,et al.  Determination of Dry Matter Content and Basic Density of Norway Spruce by near Infrared Reflectance and Transmittance Spectroscopy , 1994 .

[30]  Laurence R. Schimleck,et al.  Applications of NIR spectroscopy to forest research , 2000 .

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

[32]  R Evans,et al.  木材でのミクロフィブリル角のX線回折測定法による算定への分散近似法 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 1999 .

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

[34]  Heinrich Spiecker,et al.  Detection and Classification of Norway Spruce Compression Wood in Reflected Light by Means of Hyperspectral Image Analysis , 2009 .

[35]  Ken Watanabe,et al.  Predicting oven-dry density of Sugi (Cryptomeria japonica) using near infrared (NIR) spectroscopy and its effect on performance of wood moisture meter , 2012, Journal of Wood Science.

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

[37]  Robert Evans,et al.  ESTIMATION OF MICROFIBRIL ANGLE OF INCREMENT CORES BY NEAR INFRARED SPECTROSCOPY , 2002 .

[38]  L. Schimleck,et al.  Near-infrared spectra and chemical compositions of E. globulus and E. nitens plantation woods , 1997 .

[39]  Karin Fackler,et al.  A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components , 2011 .

[40]  P. Williams,et al.  Chemical principles of near-infrared technology , 1987 .

[42]  L. Eriksson.  Multi- and megavariate data analysis , 2006 .

[43]  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.

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

[45]  Richard F. Daniels,et al.  Determination of Basic Density and Moisture Content of Merchantable Loblolly Pine Logs by near Infrared Spectroscopy , 2011 .

[46]  Roger Meder,et al.  Sawmill Trial of At-Line Prediction of Recovered Lumber Stiffness by NIR Spectroscopy of Pinus Radiata Cants , 2003 .

[47]  Satoru Tsuchikawa,et al.  Analytical Characterization of Reflected and Transmitted Light from Cellular Structural Material for the Parallel Beam of NIR Incident Light , 1999 .

[48]  Robert Evans,et al.  Rapid Measurement of the Transverse Dimensions of Tracheids in Radial Wood Sections from Pinus radiata , 1994 .

[49]  Satoru Tsuchikawa,et al.  Directional Characteristics Model and Light-Path Model for Biological Material Having Cellular Structure , 1999 .

[50]  P. Hoffmeyer,et al.  Evaluation of density and strength of Norway spruce wood by near infrared reflectance spectroscopy , 2007, Holz als Roh- und Werkstoff.

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

[52]  Satoru Tsuchikawa,et al.  Application of near infrared spectrophotometry to wood, 4: Calibration equations for moisture content , 1996 .

[53]  B. Leblon,et al.  Potential of near-infrared spectroscopy to characterize wood products11This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy. , 2011 .

[54]  Daniel L. Schmoldt,et al.  Nondestructive evaluation of hardwood logs:CT scanning, machine vision and data utilization , 1998 .

[55]  Robert J. Ross,et al.  Wood handbook : wood as an engineering material , 2010 .

[56]  Yasutoshi Sasaki,et al.  Near-Infrared Spectroscopic Study of the Physical and Mechanical Properties of Wood with Meso- and Micro-Scale Anatomical Observation , 2005, Applied spectroscopy.

[57]  Alfred Teischinger,et al.  The Relationship between near Infrared Spectra of Radial Wood Surfaces and Wood Mechanical Properties , 2001 .

[58]  Richard F. Daniels,et al.  Comparison of Pinus taeda L. wood property calibrations based on NIR spectra from the radial-longitudinal and radial-transverse faces of wooden strips , 2005 .

[59]  Richard F. Daniels,et al.  Estimation of the physical wood properties of green Pinus taeda radial samples by near infrared spectroscopy , 2003 .

[60]  Satoru Tsuchikawa,et al.  Directional Characteristics of Near Infrared Light Reflected from Wood , 2001 .

[61]  Leslie H. Groom,et al.  Near infared spectroscopy in the forest products industry , 2004 .