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大学・研究所にある論文を検索できる 「Measuring the tensile strain of wood by visible and near-infrared spatially resolved spectroscopy」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。
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Measuring the tensile strain of wood by visible and near-infrared spatially resolved spectroscopy

Ma, Te Inagaki, Tetsuya Yoshida, Masato Ichino, Mayumi Tsuchikawa, Satoru 名古屋大学

2021.11

概要

Strain measurement is critical for wood quality evaluation. Using conventional strain gauges constantly is high cost, also challenging to measure precious wood materials due to the use of strong adhesive. This study demonstrates the correlation between the light scattering degrees inside the wood during tension testing and their macroscopic strain values. A multifiber-based visible-near-infrared (Vis–NIR) spatially resolved spectroscopy (SRS) system was designed to rapidly and conveniently acquire such light scattering changes. For the preliminary experiment, samples with different thicknesses, from 2 to 5 mm, were measured to evaluate the influence of sample thickness. The differences in Vis–NIR SRS spectral data diminished with an increase in sample thickness, suggesting that the SRS method can successfully measure the wood samples' whole strain (i.e., surface and inside). Then, for the primary experiment, 18 wood samples were each prepared with approximately the same sample thickness of 2 mm and 5 mm to construct strain calibration models, respectively. The prediction accuracy of the 2-mm samples was characterized by a determination coefficient (R^2) of 0.81 with a root mean squared error (RMSE) of 343.54 με for leave-one-out cross-validation; for test validation, the validation accuracy was characterized by an R^2 of 0.76 and an RMSE of 395.35 με. For the validation accuracy of the 5-mm samples, R2val was 0.69 with 440.78 με RMSEval. Overall, the presented calibration results of the SRS approach were confirmed to be superior to the standard diffuse reflectance spectroscopy.

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参考文献

Adler DC, Buehler MJ (2013) Mesoscale mechanics of wood cell walls under axial strain. Soft Matter 9:7138–7144. https://doi.org/10.1039/c3sm50183c

Åkerholm M, Salmén L (2001) Interactions between wood polymers studied by dynamic FT-IR spectroscopy. Polymer (Guildf) 42:963–969. https://doi.org/10.1016/S0032-3861(00)00434-1

Altaner CM, Thomas LH, Fernandes AN, Jarvis MC (2014) How cellulose stretches: Synergism between covalent and hydrogen bonding. Biomacromolecules 15:791– 798. https://doi.org/10.1021/bm401616n

Ambrose J (1993) Building structures. John Wiley & Sons

Anaf W, Cabal A, Robbe M, Schalm O (2020) Real-time wood behavior: The use of strain gauges for preventive conservation applications. Sensors (Switzerland) 20:. https://doi.org/10.3390/s20010305

Ban M, Inagaki T, Ma T, Tsuchikawa S (2018) Effect of cellular structure on the optical properties of wood. J Near Infrared Spectrosc 26:53–60. https://doi.org/10.1177/0967033518757233

Barr AD, Clarke SD, Tyas A, Warren JA (2017) Electromagnetic Interference in Measurements of Radial Stress During Split Hopkinson Pressure Bar Experiments. Exp Mech 57:813–817. https://doi.org/10.1007/s11340-017-0280-4

Burgert I (2006) Exploring the Micromechanical Design of Plant Cell Walls. Am J Bot 93:1391–1401

Cen H, Lu R (2010) Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Opt Express 18:17412. https://doi.org/10.1364/oe.18.017412

Cuesta Sánchez F, Toft J, van den Bogaert B, et al (1995) Monitoring powder blending by NIR spectroscopy. Fresenius J Anal Chem 352:771–778. https://doi.org/10.1007/BF00323062

D’Andrea C, Farina A, Comelli D, et al (2007) Time-resolved diffuse optical spectroscopy of wood. Opt InfoBase Conf Pap 62:569–574. https://doi.org/10.1117/12.727955

Eichhorn YRJ (2001) The young’s modulus of a microcrystalline cellulose. Cellulose 8:197–207. https://doi.org/10.1023/A:1013181804540

Farrell TJ, Patterson MS, Brain W (1992) A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. Medphys 19:879–888. https://doi.org/10.1118/1.596777

Gorry PA (1991) General Least-Squares Smoothing and Differentiation of Nonuniformly Spaced Data by the Convolution Method. Anal Chem 63:534–536. https://doi.org/10.1021/ac00005a031

Guo F, Altaner CM (2018) Molecular deformation of wood and cellulose studied by near infrared spectroscopy. Carbohydr Polym 197:1–8. https://doi.org/10.1016/j.carbpol.2018.05.064

Guo F, Altaner CM, Jarvis MC (2020) Thickness-dependent stiffness of wood: Potential mechanisms and implications. Holzforschung 74:1079–1087. https://doi.org/10.1515/hf-2019-0311

Guo F, Cramer M, Altaner CM (2019) Evaluation of near infrared spectroscopy to non449 destructively measure growth strain in trees. Cellulose 26:7663–7673. https://doi.org/10.1007/s10570-019-02627-2

Hein PRG, Pakkanen HK, Dos Santos AA (2017) Challenges in the use of near infrared spectroscopy for improving wood quality: A review. For Syst 26:1–10. https://doi.org/10.5424/fs/2017263-11892

Hon DNS, Chang ST (1984) Surface Degradation of Wood By Ultraviolet Light. J Polym Sci A1 22:2227–2241. https://doi.org/10.1002/pol.1984.170220923

Kamiyama T, Suzuki H, Sugiyama J (2005) Studies of the structural change during deformation in Cryptomeria japonica by time-resolved synchrotron small-angle X458 ray scattering. J Struct Biol 151:1–11. https://doi.org/10.1016/j.jsb.2005.04.007

Keckes J, Burgert I, Frühmann K, et al (2003) Cell-wall recovery after irreversible deformation of wood. Nat Mater 2:810–814. https://doi.org/10.1038/nmat1019

Konagaya K, Inagaki T, Kitamura R, Tsuchikawa S (2016) Optical properties of drying wood studied by time-resolved near-infrared spectroscopy. Opt Express 24:9561. https://doi.org/10.1364/OE.24.009561

Liu Q, Ding W, Zhou H, et al (2015) A Novel Strain Measurement System in Strong Electromagnetic Field. IEEE Trans Plasma Sci 43:3562–3567. https://doi.org/10.1109/TPS.2015.2418276

Lu R, Van Beers R, Saeys W, et al (2020) Measurement of optical properties of fruits and vegetables: A review. Postharvest Biol Technol 159:111003. https://doi.org/10.1016/j.postharvbio.2019.111003

Ma T, Inagaki T, Tsuchikawa S (2019) Three-dimensional grain angle measurement of softwood (Hinoki cypress) using near infrared spatially and spectrally resolved imaging (NIR-SSRI). Holzforschung 73:817–826. https://doi.org/10.1515/hf-2018- 0273

Ma T, Schajer G, Inagaki T, et al (2018a) Optical characteristics of Douglas fir at various densities, grain directions and thicknesses investigated by near-infrared spatially resolved spectroscopy (NIR-SRS). Holzforschung 1–8. https://doi.org/10.1515/hf-2017-0213

Ma T, Schajer G, Inagaki T, et al (2018b) Optical characteristics of Douglas fir at various densities, grain directions and thicknesses investigated by near-infrared spatially resolved spectroscopy (NIR-SRS). Holzforschung 72:789–796. https://doi.org/10.1515/hf-2017-0213

Ma T, Tsuchikawa S, Inagaki T (2020) Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach. Comput Electron Agric 177:. https://doi.org/10.1016/j.compag.2020.105683

Martens H, Tormod N (1992) Multivariate calibration. John Wiley & Sons.

Marthin O, Kristofer Gamstedt E (2019) Damage shielding mechanisms in hierarchical composites in nature with potential for design of tougher structural materials. R Soc Open Sci 6:. https://doi.org/10.1098/rsos.181733

Mohammadi-Moghaddam T, Razavi SMA, Sazgarnia A, Taghizadeh M (2018) Predicting the moisture content and textural characteristics of roasted pistachio kernels using Vis/NIR reflectance spectroscopy and PLSR analysis. J Food Meas Charact 12:346–355. https://doi.org/10.1007/s11694-017-9646-7

Montero C, Clair B, Alméras T, et al (2012) Relationship between wood elastic strain under bending and cellulose crystal strain. Compos Sci Technol 72:175–181. https://doi.org/10.1016/j.compscitech.2011.10.014

Mvondo RRN, Meukam P, Jeong J, et al (2017) Influence of water content on the mechanical and chemical properties of tropical wood species. Results Phys 7:2096–2103. https://doi.org/10.1016/j.rinp.2017.06.025

Okazaki Y (2012) Near-Infrared Spectroscopy—Its Versatility in Analytical. Anal Chem 28:545–562

Ozyhar T, Hering S, Niemz P (2012) Moisture-dependent elastic and strength anisotropy of European beech wood in tension. J Mater Sci 47:6141–6150. https://doi.org/10.1007/s10853-012-6534-8

Peng Y, Lu R (2008) Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content. Postharvest Biol Technol 48:52–62. https://doi.org/10.1016/j.postharvbio.2007.09.019

Qin J, Lu R (2008) Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique. Postharvest Biol Technol 49:355–365. https://doi.org/10.1016/j.postharvbio.2008.03.010

Qin J, Lu R, Peng Y (2009) Prediction of apple internal quality using spectral absorption and scattering properties. Trans ASABE 52:486–499. https://doi.org/10.13031/2013.26807

Salmén L (2015) Wood morphology and properties from molecular perspectives. Ann For Sci 72:679–684. https://doi.org/10.1007/s13595-014-0403-3

Salmén L, Bergström E (2009) Cellulose structural arrangement in relation to spectral changes in tensile loading FTIR. Cellulose 16:975–982. https://doi.org/10.1007/s10570-009-9331-z

Samarasinghe S, Kulasiri G (2000) Displacement fields of wood in tension based on image processing Part 1. Silva Fenn 34:251–259

Smith I, Landis E, Gong M (2003) Fracture and fatigue in wood. John Wiley & Sons

Tkachenko N V (2006) Chapter 7 - Flash–photolysis. In: Optical Spectroscopy. Elsevier Science, Amsterdam, pp 129–149

Tsuchikawa S (2007) A Review of Recent Near Infrared Research for Wood and Paper. Appl Spectrosc Rev 42:43–71. https://doi.org/10.1080/05704920601036707

Tsuchikawa S, Kobori H (2015) A review of recent application of near infrared spectroscopy to wood science and technology. J Wood Sci 61:213–220. https://doi.org/10.1007/s10086-015-1467-x

Vanoli M, Van Beers R, Sadar N, et al (2020) Time- and spatially-resolved spectroscopy to determine the bulk optical properties of ‘Braeburn’ apples after ripening in shelf life. Postharvest Biol Technol 168:. https://doi.org/10.1016/j.postharvbio.2020.111233

Wang D, Lin L, Fu F (2020) Deformation mechanisms of wood cell walls under tensile loading: a comparative study of compression wood (CW) and normal wood (NW). Cellulose 27:4161–4172. https://doi.org/10.1007/s10570-020-03095-9

Watanabe K, Yamashita K, Noshiro S (2012) Non-destructive evaluation of surface longitudinal growth strain on Sugi (Cryptomeria japonica) green logs using near538 infrared spectroscopy. J Wood Sci 58:267–272. https://doi.org/10.1007/s10086- 011-1238-2

Xing Z, Wang J, Shen G (2008) Short-Wave Near-Infrared Spectroscopy for Rapid Quantification of Acidity of Aviation Kerosene. Open Fuels Energy Sci J 1:51–53. https://doi.org/10.2174/1876973x00801010051

Yang JL, Baillères H, Okuyama T, et al (2005) Measurement methods for longitudinal surface strain in trees: A review. Aust For 68:34–43. https://doi.org/10.1080/00049158.2005.10676224

Yu Y, Jiang Z, Tian G (2009) Size effect on longitudinal MOE of microtomed wood sections and relevant theoretical explanation. For Stud China 11:243. https://doi.org/10.1007/s11632-009-0040-3

Zhu Q, He C, Lu R, et al (2015) Ripeness evaluation of “Sun Bright” tomato using optical absorption and scattering properties. Postharvest Biol Technol 103:27–34. https://doi.org/10.1016/j.postharvbio.2015.02.007

Zude M, Pflanz M, Spinelli L, et al (2011) Non-destructive analysis of anthocyanins in cherries by means of Lambert-Beer and multivariate regression based on spectroscopy and scatter correction using time-resolved analysis. J Food Eng 103:68–75. https://doi.org/10.1016/j.jfoodeng.2010.09.021

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