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

Forestry Chronicle

Volumn 89, Issue 5, 2013, Pages 595-606

  Leblon, Brigitte ^a   Adedipe, Oluwatosin ^a   Hans, Guillaume ^a   Haddadi, Ataollah ^a   Tsuchikawa, Satoru ^b   Burger, James ^c   Stirling, Rod ^d   Pirouz, Zarin ^d   Groves, Kevin ^d   Nader, Joseph ^d   LaRocque, Armand ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b NAGOYA UNIVERSITY   (Japan)

^c BurgerMetrics   (Latvia)

^d FPINNOVATIONS   (Canada)

Author keywords

Multivariate statistics; Near infrared spectroscopy; Optical model; Reflectance; Transmittance; Wood properties

Indexed keywords

DENSITY (SPECIFIC GRAVITY); INFRARED DEVICES; MOISTURE DETERMINATION; MULTIVARIANT ANALYSIS; REFLECTION; STIFFNESS; TOOLS;

FOREST-PRODUCTS INDUSTRY; LIGNIN CONTENTS; MULTIVARIATE STATISTICS; OPTICAL MODELING; OPTICAL MODELS; REAL TIME MONITORING; TRANSMITTANCE; WOOD PROPERTIES;

WOOD;

CELLULOSE; DENSITY; INFRARED SPECTROSCOPY; LIGNIN; LITERATURE REVIEW; MOISTURE CONTENT; MULTIVARIATE ANALYSIS; PHYSICOCHEMICAL PROPERTY; REAL TIME; REFLECTANCE; STIFFNESS; TRANSMITTANCE;

FOREST PRODUCTS; MECHANICAL PROPERTIES; MOISTURE CONTENT; REFLECTANCE; TRANSMITTANCE; WOOD; WOOD DENSITY;

EID: 84900329440     PISSN: 00157546     EISSN: None     Source Type: Journal    
DOI: 10.5558/tfc2013-111     Document Type: Review

References (70)

1. Adedipe, O. F. and B. Dawson-Andoh. 2008a. Predicting moisture content of yellow-poplar (Liriodendron tulipifera) veneer using near-infrared spectroscopy. Forest Products journal 58(4):28-33.
2. Adedipe, O. F. and B. Dawson-Andoh. 2008b. Prediction of yellow-poplar (Liriodendron tulipifera) veneer stiffness and bulk density using near-infrared spectroscopy and multivariate calibration. Journal of Near Infrared Spectroscopy 16:487-496.
3. Baughman, E. 2005. Spectroscopic tools and implementation strategies for the chemical and pharmaceutical industries. In K. A Bakeev (ed.). Process Analytical Technology. Chapter 1. pp. 1-12. Blackwell Publishing Ltd, Oxford, UK.
4. Boldrini, B., W. Kessler, K. Rebner and R. W. Kessler. 2012. Hyper-spectral imaging: a review of best practice, performance and pitfalls for in-line and on-line applications. Journal of Near Infrared Spectroscopy 20:483-508.
5. Ciurczak, E. W. 2001. Principles of Near-infrared Spectroscopy. In DA. Burns and F. W. Ciurczak (eds.). Handbook of near-infrared analysis, 2nd Edition. Chapter 2. pp. 7-18. Practical Spectroscopy Series, Volume 27. Marcel Dekker, Inc., New York.
6. Ciurczak, E. W., R. P. Torlini and M. R Demkowicz. 1986. Determination of particle size of pharmaceutical raw materials using near-infrared spectroscopy. Spectroscopy 1:36-39.
7. Cooper, P. A., D. Jeremic, S. Radivojevic, Y. T. Ung and B. Leblon. 2011. Potential of near-infrared spectroscopy to characterize wood products. Canadian Journal of Forest Research 41:2150-2157.
8. Defo, M., M. Taylor and B. Bond. 2007. Determination of moisture content and density of fresh-sawn red oak lumber by near-infrared spectroscopy. Forest Products Journal 57(5):68-72.
9. Duncker, P. and H. Spiecker. 2009. Detection and classification of Norway spruce compression wood in reflected light by means of hy-perspectral image analysis. IAWA Journal 30(1):59-70.
10. Eriksson L, E. Johansson, N. Kettaneh-Wold and S. Wold. 2001. Multi- and megavariate data analysis. Principles and Applications. Umetrics Academy, Umeä, Sweden.
11. Evans, R. 1994. Rapid measurement of the transverse dimensions of tracheids in radial wood sections from Pinus radiata. Holzforschung 48:168-172
12. Evans, R. 1999. A variance approach to the x-ray ditfractometric estimation of microfibril angle in wood. Appita Journal 52:283-289.
13. Forest Products laboratory. 1999. Wood handbook - Wood as an engineering material. General Technical Report FPL-GTR-113. U. S. Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI. 509 p.
14. FOSS. 2012. A guide to near-infrared spectroscopic analysis of industrial manufacturing processes. FOSS NIRSystems Inc., Laurel, MIX 20 p.
15. Fujimoto T., H. Yamamoto and S. Tsuchikawa. 2007. Estimation of wood stiffness and strength properties of hybrid larch by near-infrared spectroscopy. Applied Spectroscopy 61(8):882-888.
16. Fujimoto, T., Y. Kurata, K. Matsumoto and S. Tsuchikawa. 2008. Application of near-infrared spectroscopy for estimating wood mechanical properties of small clear and full length lumber specimens. Journal of Near Infrared Spectroscopy 16:529-537.
17. Gindl, W., M. Schwanninger, B. Hinterstoivser and A. Teischinger. 2001. The relationship between near-infrared spectra of radial wixxl surfaces and wood mechanical properties Journal of Near Infrared Spectroscopy 9:255-261.
18. Hagman, O. 1997. Multivariate prediction of wood surface features using an imaging spectrograph. Holz als Roh und Werkstoff 55(6):377-382.
19. Hans G., B. Leblon, R. Stirling, J. Nader, A. La Rocque and P. Cooper. 2012. Monitoring of moisture content and basic specific gravity in black spruce logs using a handheld MEMS-based near-infrared spectrometer. The Forestry Chronicle 89 (5:) 605-618.
20. Heigl, N., M. Peter, M. Rainer, M. Najam-ul-Hag, R. Valiant, R. Bakry, G. Bonn and C. Huck. 2007. Review: near-infrared spectroscopy for polymer research, quality control and reaction monitoring. Journal of Near Infrared Spectroscopy 15:269-282.
21. Hoffmeyer, R and J. G. Pedersen. 1995. Evaluation of density and strength of Norway spruce wood by near-infrared reflectance spectroscopy. Holz als Roh und Werkstoff 53:165-170.
22. Jeremic, D., P. Cooper and U. Srinivasan. 2004. Comparative analysis of balsam fir wetwood, heartwood, and sapwood properties. Canadian Journal of Forest Research 34:1241-1250.
23. Jones, P. D., L. Schimleck, G. Peter, R. Daniels and A. Clark. 2005. Non-destructive estimation of Pimis taeda L. wood properties for samples from a wide range of sites in Georgia. Canadian Journal of Forest Research 35:85-92.
24. Jones, P., L. Schimleck, C.-L. So, A. Clark and R. Daniels. 2007. High resolution scanning of radial strips cut from increment cores by near-infrared spectroscopy. LAVVA Journal 28(4):473-484.
25. Karttunen, K., A. Leinonen and M.-P. Saren. 2008. A survey of moisture distribution in two sets of Scots pine logs by NIR-spectroscopy. Holzforschung 62:435-440.
26. Kelley, S. S., T. G. Rials, LR. Groom and C-L. So. 2004. Use of near-infrared spectroscopy to predict the mechanical properties of six softwoods. Holzforschung 58:252-260.
27. Kubelka, P. and F. Munk. 1931. Ein Beitrag zur Optik der Farbas-triche. Zeitschrift für technische Physik 12:593-601
28. Magel, E. A. 2000. Biochemistry and physiology of heartwood formation. In R. A. Savidge, J. R. Barnett and R. Napier (eds.). Cell and molecular biology of wood formation. Experimental Biology Reviews, pp. 363-376. BIOS Scientific Publishers Ltd. Oxford, UK.
29. Meder, R., A. Thumm and D. Marston. 2003. Sawmill trial of at-line prediction of recovered lumber stiffness by NIR spectroscopy of Pinus radiata cants. Journal of Near Infrared Spectroscopy 11:137-143.
30. Michell, A. J. and LR. Schimleck 1996. NIR spectroscopy of woods from Eucalyptus globulus. Appita Journal 49:23-26
31. Miller, C. 2001. Chemical principles of near-infrared technology. In P. Williams and K. Norris (eds.). Near-infrared Technology in Agricultural and Food Industries, 2nd Edition. American Association of Cereal Chemists, St. Paul, MN. 312 p.
32. Mora, C. R., L. R. Schimleck, A. Clark and R. F. Daniels. 2011a. Determination of basic density and moisture content of merchantable loblolly pine logs by near-infrared spectroscopy. Journal of Near Infrared Spectroscopy 19(5):391-399.
33. Mora, C. R., LR. Schimleck, S-C. Yoon and C. N. Thai. 2011b. Determination of basic density and moisture content of loblolly pine wood disks using a near-intrared hyperspectral imaging system. Journal of Near Infrared Spectroscopy 19(5):401-409.
34. Nystrom, J. and O. Hagman. 1999. Real-time spectral classification of compression wood in Piceu abies. Journal of Wood Science 45:30-37.
35. Sandberg, K. and M. Sterley. 2009. Separating Norway spruce heartwood and sapwood in dried condition with near-infrared spectroscopy and multivariate data analysis. European Journal of Forest Research 128:475-481
36. Schimleck, LR. and R. Evans. 2002. Estimation of microfibril angle of increment cores by near-infrared spectroscopy. IAWA Journal 23:225-234.
37. Schimleck, LR., R. Evans and J. Llic. 2001. Estimation of Eucalyptus delegatensis wood properties by near-infrared spectroscopy. Canadian Journal of Forest Research 31:1671-1675.
38. Schimleck, LR., C. Mora and R. Daniels. 2003. Estimation of the physical wood properties of green Pinus taeda radial samples by near-infrared spectroscopy. Canadian Journal of Forest Research 33:2297-2305.
39. Schimleck, LR., C. A. Raymond, C. L. Beadle, G. M. Downes, P. D. Kube and J. French. 2000. Applications of NIR spectroscopy to forest research. Appita Journal 53:458-464.
40. Schimleck, LR., R. Sturzenbecher, C. Mora, P. D. Jones and R. F. Daniels. 2005. Comparison of Pinus taeda L. wood property calibrations based on NIR spectra from the radial-longitudinal and radial-transverse faces of wooden strips. Holzforschung 59:214-218.
41. Schimleck, L. R., P. Wright, A. Michell and A. Wallis. 1997. Near-infrared spectra and chemical compositions of E-globulus and E-nitens plantation woods. Appita Journal 50:40-46.
42. Schmoldt, D. L, L. G. Occena, A. L Abbott and N. Gupta. 1999. Nondestructive evaluation of hardwood logs: CT scanning, machine vision and data utilization. Non-destructive Testing and Evaluation 15(5):279-309.
43. Schwanninger M., J. Rodrigues and K. Fackler. 2011. A review of band assignments in near-infrared spectra of wood and wood components. Journal of Near Infrared Spectroscopy 19(5):287-308.
44. Shenk, J. S., J. S. Workman and M. Westerhaus. 2001. Application of NIR spectroscopy to agriculture products. In D. A. Bums and E. W. Ciurczak (eds.). Handbook of Near-infrared Analysis, 2nd Edition. Practical Spectroscopy Series, Volume 27. Marcel Dekker, Inc., New York. 816 p.
45. Simpson, M. P. 2005. Near-Infrared Spectroscopy for Process Analytical Chemistry: Theory, Technology and Implementation. In K. A. Bakeev (ed.). Process Analytical Technology, pp. 39-90. Blackwell Publishing Ltd, UK.
46. So, C-L, B. Via, L. H. Groom, L. R. Schimleck, T. F. Shupe, S. S. Kelley and T. G. Rials. 2004. Near-infrared spectroscopy in the forest products industry. Forest Products Journal 54:6-16.
47. Swierenga, H., F. Wülfert, O. E. De Noord, A. P. De Weijer, A. K. Smilde and L. M. Buydensa. 2000. Development of robust calibration models in near infra-red spectrometric applications. Analytica Chem-ica Acta 411:121-135.
48. Sykes, R., B. Li, G. Hodge, B. Goldfarb, J. Kadla and H-M. Chang. 2005. Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy. Canadian Journal of Forest Research 35:2423-2431
49. Thumm, A., M. Riddell, B. Nanayakkara, J. Harrington and R. Meder. 2010. Near-infrared hyperspectral imaging applied to mapping chemical composition in wood samples. Journal of Near Infrared Spectroscopy 18(6):507-515
50. Thygesen, L. 1994. Determination of dry matter content and basic density of Norway spruce by near-infrared reflectance and transmittance spectroscopy. Journal of Near Infrared Spectroscopy 2:127-135.
51. Thygesen, L. G. and S. O. Lundqvist. 2000a. NIR measurement of moisture content in wood under unstable temperature conditions. Thermal effects in near-infrared spectra of wood (Part 1). Journal of Near Infrared Spectroscopy 8:183-189.
52. Thygesen, LG. and S. O. Lundqvist. 2000b. NIR measurement of moisture content in wood under unstable temperature conditions (Part 2). Handling temperature change. Journal of Near Infrared Spectroscopy 8:183-189.
53. Tsuchikawa, S. 1998. Non-traditional applications of near-infrared spectroscopy based on the optical characteristic models for biological material having cellular structure. Journal of Near Infrared Spectroscopy 6:41-46.
54. Tsuchikawa, S. 2001. Non-traditional application of time-of-flight near-infrared spectroscopy to biological material having cellular structure. Analytical sciences 17:1463-1466.
55. Tsuchikawa, S. 2007. A review of recent near-infrared research for wood and paper. Applied Spectroscopy Reviews 42:43-71.
56. Tsuchikawa, S., K. Hayashi and S. Tsutsumi. 1996a. Non-destructive measurement of the subsurface structure of biological material having cellular structure by using near-infrared spectroscopy. Applied Spectroscopy 50:1117-1124.
57. Tsuchikawa, S., Y. Hirashima, Y. Sasaki and K. Ando. 2005. Near-infrared spectroscopic study of the physical and mechanical properties of wood with meso- and micro-scale anatomical observation. Applied Spectroscopy 59:86-93.
58. Tsuchikawa, S., M. Torii and S. Tsulsumi. 1996b. Application of near infrared spectrophotometry to wood. 4. Calibration equations for moisture content. Mokuzai Gakkaishi 42:743-754.
59. Tsuchikawa, S., M. Torii and S. Tsutsumi. 1998. Directional characteristics of near-infrared light in the process of radiation and transmission from wood. Journal of Near Infrared Spectroscopy 6:47-53.
60. Tsuchikawa, S., M. Torii and S. Tsutsumi. 2001. Directional characteristics of near-infrared light reflected from wood. Holzforschung 55:534-540.
61. Tsuchikawa, S. and S. Tsutsumi. 1999a. Directional characteristics model and light path model for biological material having cellular structure. Applied Spectroscopy 53:233-240.
62. Tsuchikawa, S. and S. Tsutsumi. 1999b. Analytical characterisation of reflected and transmitted light from cellular structure and material for the parallel beam of NIR incident light. Applied Spectroscopy 53:1033-1039.
63. Via, B. K., T. F. Shupe, L. H. Groom, M. Stine and C-L. So. 2003. Multivariate modeling of density, strength and stiffness from near infrared spectra for mature, juvenile and pith wood of longleaf pine (pinus palustris). Journal of Near Infrared Spectroscopy 11(5):365-378.
64. Via, B. K., C.-L. So, T. F. Shupe, M. Stine and LH. Groom. 2005. Ability of near-infrared spectroscopy to monitor air-dry density distribution and variation of wood. Wood Fibre Science 37(3):394-402.
65. Watanabe, K., I. Kobayashi, N. Kuroda, M. Harada and S. Noshiro. 2012. Predicting oven-dry density of Sugi (Cryptomeria japónica) using near-infrared (NIR) spectroscopy and its effect on performance of wood moisture meter. Journal of Wood Science 58:383-390.
66. Watanabe, K., S. D. Mansfield and S. Avramidis. 2011. Application of near-infrared spectroscopy for moisture-based sorting of green hem-fir timber. Journal of Wood Science 57:288-294.
67. Willfor, S., A. Sundberg, J. Hemming and B. Holmbom. 2005. Polysaccharides in some industrially important softwood species. Wood Science and Technology 39:245-258.
68. Williams, P. C. 2006. Near-infrared technology - getting the best out of light: A short course in the practical implementation of near-infrared spectroscopy for the user. Edition 4.0. PDK Grain, PDK Projects Inc. 140 p.
69. Yamada, T, T. F. Yeh, H. M. Chang, L. Li, J. F. Kadla and V. L. Chiang. 2006. Rapid analysis of transgenic trees using transmittance near-infrared sapectroscopy (NIR). Holzforschung 60:24-28.
70. Yeh, T. F., H. M. Chang and J. F. Kadla. 2004. Rapid prediction of solid wood lignin content using transmittance near-infrared spectroscopy. Journal of Agricultural and Food Chemistry 52:1435-1439.