Papers - TSUCHIKAWA, Satoru

Near-infrared spectroscopic investigation of the hydrothermal degradation mechanism of wood as an analogue of archaeological wood. Part II: hardwood. Reviewed

Inagaki T, Mitsui K, Tsuchikawa S

Applied spectroscopy   Vol. 63 ( 7 ) page： 753 - 8   2009.7

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Applied Spectroscopy  

Near-infrared (NIR) spectroscopy and chemometrics were applied to analyze the degradation mechanism of hardwood following hydrothermal treatment. NIR spectra, chemical composition, oven-dried density, equilibrium moisture content, compressive Young's modulus parallel to grain, and cellulose crystallinity of artificially degraded beech as an analogue of archaeological wood were systematically measured. Partial least squares (PLS) regression analysis was employed to predict compressive Young's modulus using NIR spectra and various properties as independent variables. Results are also compared with previous data obtained from similar treatment of softwood (Hinoki cypress). The increase in cellulose crystallinity of hardwood during the initial stage of hydrothermal treatment (up to 5 hours) was correlated with an improvement in the mechanical properties of wood. Young's modulus for both hardwood and softwood showed a gradual decrease over five hours of hydrothermal treatment, which is proposed to be due to the degradation of polysaccharide. © 2009 Society for Applied Spectroscopy.

DOI： 10.1366/000370209788701071

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PubMed

Near-Infrared Spectroscopic Investigation of the Hydrothermal Degradation Mechanism of Wood as an Analogue of Archaeological Wood. Part II: Hardwood Reviewed

Inagaki Tetsuya, Mitsui Katsuya, Tsuchikawa Satoru

APPLIED SPECTROSCOPY   Vol. 63 ( 7 ) page： 753 - 758   2009.7

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Publishing type：Research paper (scientific journal)  

Web of Science

Application of time-of-flight near infrared spectroscopy to fruits -Analysis of absorption/scattering condition of NIR radiation by cross-correlation function of time-resolved profile- Reviewed

Kurata, Y.; Tsuchikawa S.

Applied Spectroscopy   Vol. 63 ( 3 ) page： 306-312   2009.3

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Language：English   Publishing type：Research paper (scientific journal)  

Influence of pith location on warp of lumber in sawing medium quality Sugi (Cryptomeria japonica D. Don) logs Reviewed

Ikami, Y.; Matsumura, Y.; Murata, K., Tsuchikawa S.

Holz als Roh- und Werkstoff   Vol. 67 ( 3 ) page： 271-276   2009.3

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Language：English   Publishing type：Research paper (scientific journal)  

Application of Time-of-Flight Near-Infrared Spectroscopy to Fruits: Analysis of Absorption and Scattering Conditions of Near-Infrared Radiation Using Cross-Correlation of the Time-Resolved Profile Reviewed

Yohei Kurata, Satoru Tsuchikawa

APPLIED SPECTROSCOPY   Vol. 63 ( 3 ) page： 306 - 312   2009.3

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：SOC APPLIED SPECTROSCOPY  

The absorption and scattering conditions of near-infrared radiation in a grapefruit, a popular thick-peeled fruit, were investigated by time-of-flight near-infrared spectroscopy (TOF-NIRS). The cross-correlation function was introduced to obtain fine spectroscopic information from the time-resolved profile. Variation of the optical parameters in both the time-resolved profile and the cross-correlation function showed that the NIR radiation was largely absorbed in the peel and considerably scattered in the flesh of the fruit. It also reflected the straightness of the input pulsed laser. The substantial optical path length of the grapefruit estimated from the cross-correlation function was approximately 4 to 5 times as long as the nominal optical path length (NOPL). The cross-correlation function was an effective tool to analyze the absorption/scattering conditions of NIR radiation in a sample where an unstable light source such as a Nd:YAG laser with high output energy was employed.

Web of Science

Application of time-of-flight near-infrared spectroscopy to fruits: analysis of absorption and scattering conditions of near-infrared radiation using cross-correlation of the time-resolved profile. Reviewed

Kurata Y, Tsuchikawa S

Applied spectroscopy   Vol. 63 ( 3 ) page： 306 - 12   2009.3

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Applied Spectroscopy  

The absorption and scattering conditions of near-infrared radiation in a grapefruit, a popular thick-peeled fruit, were investigated by time-of-flight near-infrared spectroscopy (TOF-NIRS). The cross-correlation function was introduced to obtain fine spectroscopic information from the time-resolved profile. Variation of the optical parameters in both the time-resolved profile and the cross-correlation function showed that the NIR radiation was largely absorbed in the peel and considerably scattered in the flesh of the fruit. It also reflected the straightness of the input pulsed laser. The substantial optical path length of the grapefruit estimated from the cross-correlation function was approximately 4 to 5 times as long as the nominal optical path length (NOPL). The cross-correlation function was an effective tool to analyze the absorption/scattering conditions of NIR radiation in a sample where an unstable light source such as a Nd:YAG laser with high output energy was employed. © 2009 Society for Applied Spectroscopy.

DOI： 10.1366/000370209787599004

Scopus

PubMed

Application of Time-of-Flight Near-Infrared Spectroscopy to Fruits: Analysis of Absorption and Scattering Conditions of Near-Infrared Radiation Using Cross-Correlation of the Time-Resolved Profile

Kurata Yohei, Tsuchikawa Satoru

APPLIED SPECTROSCOPY   Vol. 63 ( 3 ) page： 306 - 312   2009.3

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Web of Science

Influence of pith location on warp of lumber in sawing medium quality Sugi (Cryptomeria japonica D. Don) logs Reviewed

Ikami, Y, Matsumura, Y, Murata, K, Tsuchikawa S

Holz als Roh- und Werkstoff   Vol. 67 ( 3 ) page： 271-276   2009.3

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Authorship：Last author   Language：English   Publishing type：Research paper (scientific journal)  

Near-infrared spectroscopic analysis of aging degradation in antique washi paper using a deuterium exchange method Invited Reviewed

Yonenobu, H.; Sato, K.; Tsuchikawa, S.

Vibrational Spectroscopy   Vol. 51   page： 100-104   2009

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Language：English   Publishing type：Research paper (scientific journal)  

Prediction of water content in Ligustrum japonicum leaf using NIR chemometric imaging Reviewed

Kobori, H.; Tsuchikawa S.

Journal of Near Infrared Spectroscopy   Vol. 17 ( 3 ) page： 151-157   2009

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Language：English   Publishing type：Research paper (scientific journal)  

Near-infrared spectroscopic analysis of aging degradation in antique washi paper using a deuterium exchange method

Yonenobu, H, Sato, K, Tsuchikawa, S

Vibrational Spectroscopy   Vol. 51   page： 100-104   2009

Prediction of water content in Ligustrum japonicum leaf using near infrared chemometric imaging Reviewed

Kobori Hikaru, Tsuchikawa Satoru

JOURNAL OF NEAR INFRARED SPECTROSCOPY   Vol. 17 ( 3 ) page： 151 - 157   2009

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Journal of Near Infrared Spectroscopy  

Leaf water content is one of the most important indicators of the plant growth status. However, the traditional measurement of leaf water content requires a destructive process. A new technique using near infrared (NIR) imaging with the aid of chemometrics was developed to predict leaf water content. This method makes it possible to evaluate the leaf water content without destruction. Ligustrum japonicum leaves were taken, and then the water content and spectroscopic images at the wavelength of 1450nm were obtained by a vidicon camera fitted with a band-pass filter. A calibration model able to predict water content with high accuracy was found by partial least square analysis, using cumulative histograms based on the luminance brightness as the explanatory variables. This research confirmed the feasibility of NIR chemometric imaging to monitor the plant growth condition. © IM Publications LLP 2009 All rights reserved.

DOI： 10.1255/jnirs.836

Web of Science

Scopus

Prediction of water content in Ligustrum japonicum leaf using NIR chemometric imaging

Kobori, H, Tsuchikawa S

Journal of Near Infrared Spectroscopy   Vol. 17 ( 3 ) page： 151-157   2009

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T., Matsumoto K., Kurata Y., Tsuchikawa S.

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Scopus

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T, Matsumoto K, Kurata Y, Tsuchikawa S

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T, Matsumoto K, Kurata Y, Tsuchikawa S

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T, Matsumoto K, Kurata Y, Tsuchikawa S

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T, Matsumoto K, Kurata Y, Tsuchikawa S

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T., Matsumoto K., Kurata Y., Tsuchikawa S.

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.

Rapid and nondestructive evaluations of wood mechanical properties by near infrared spectroscopy Reviewed

Fujimoto T, Matsumoto K, Kurata Y, Tsuchikawa S

10th World Conference on Timber Engineering 2008   Vol. 1   page： 239 - 245   2008.12

　More details

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：10th World Conference on Timber Engineering 2008  

Near infrared (NIR) spectroscopy, coupled with multivariate analytic statistical techniques, has been used to predict the mechanical properties of solid wood samples taken from small clear and full length lumber specimens of hybrid larch. The specific mechanical characteristics evaluated were the modulus of elasticity (MOE), the modulus of rupture (MOR), compression strength parallel to the grain (CS) in small clear specimens, dynamic modulus of elasticity of air-dried lumbers (Efr), and wood density (DEN). Partial least squares (PLS) regression calibrations were developed for each wood property and found that the calibrations gave relatively strong relationships between laboratory-measured and NIR-predicted values in small clear specimens, with coefficients of determination ranging from 0.61 to 0.89. The calibration models were applied to the prediction data sets (unknown samples), suggesting that NIR spectroscopy has the potential to predict the mechanical properties with adequate accuracy. Comparison of the prediction based on spectra obtained from the radial vs tangential face showed that the prediction models based on spectra obtained from radial face were slightly superior. Although the accuracy of calibration and prediction was lesser than the small clear specimens, reasonable predictive model for wood stiffness could be taken from the full length lumber specimens. Regression coefficients resulting from PLS analysis indicates that variation in wood components such as cellulose, lignin and possibly hemicellulose governs wood mechanical properties.