2019年

  • “Three-dimensional grain angle measurement of softwood (Hinoki cypress) using near infrared spatially and spectrally resolved imaging (NIR-SSRI)”, Ma T.,Inagaki T.,Tsuchikawa S., Holzforschung 73, 819-816 (2019)
  • “Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)”, Sofianto IA, Inagaki T., Ma T, Tsuchikawa S., Holzforschung 73, 256-268 (2019)
  • “A new approach based on a combination of capacitance and near-infrared spectroscopy for estimating the moisture content of timber”, Tham VTH ,Inagaki T.,Tsuchikawa S., Wood Science and Technology 53, 579-599 (2019)
  • “Determination of dielectric function of water in THz region in wood cell wall result in an accurate prediction of moisture content “, Wang H., Inagaki T., Hartley ID, Tsuchikawa S., Reid M., Journal of Infrared, Millimeter, and Terahertz Waves 40, 673-687 (2019)
  • “Rapid identification of wood species by near-infrared spatially resolved spectroscopy (NIR-SRS) based on hyperspectral imaging (HSI)”, Ma T.,Inagaki T.,Ban M., Tsuchikawa S. Holzforschung 73, 323-330 (2019)
  • “Analysis of wood thermal degradation using 2D correlation of near infrared and visible-light spectroscopy”, Mahdiyanti SH, Inagaki T, Tsuchikawa S., Journal of Near Infrared Spectroscopy 27, 354-369 (2019)
  • “Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks”, Kanayama H., Ma T.,Tsuchikawa S., Inagaki T., Analyst 144, 6438-6446 (2019).

2018年

  • “Paper Analysis”, Satoru Tsuchikawa, Te Ma, Tetsuya Inagaki, The Encyclopedia of Archaeological Sciences, John Wiley & Sons, Inc. DOI: 10.1002/9781119188230.saseas0439.
  • “Selective Assessment of Duplex Heat-Treated Wood by Near-Infrared Spectroscopy with Principal Component and Kinetic Analyses”, Inagaki, T., Asanuma, Y., Tsuchikawa S., Journal of Wood Science, 64(1), 6-15 (2018).
  • “A novel combined application of capacitive method and near-infrared spectroscopy for predicting the density and moisture content of solid wood”, Tham, V. T. H., Inagaki, T., Tsuchikawa, S., Wood Science and Technology, 52, 115-129 (2018).
  • “Effect of cellular structure on the optical properties of wood”, Ban, M., Inagaki, T., Ma, T., Tsuchikawa, S., Journal of Near Infrared Spectroscopy, 26(1), 53-60 (2018).
  • “Noncontact Evaluation of Soluble Solids Content in Apples by Near-Infrared Hyperspectral Imaging”, Ma, T., Li, X., Inagaki, T., Yang, H., Tsuchikawa, S., Journal of Food Engineering, 224, 53-61 (2018).
  • “Determination of physical and chemical properties and degradation of archeological Japanese cypress wood from the Tohyamago area using near-infrared spectroscopy”, Inagaki, T., Yonenobu, H., Asanuma, Y., Tsuchikawa S., Journal of Wood Science, 64(4), 347-355 (2018).
  • “Optical characteristics of Douglas fir at various densities, grain directions, and thicknesses investigated by Near-Infrared Spatially Resolved Spectroscopy (NIR-SRS)”, Ma, T., Schajer, G., Pirouz, Z., Inagaki, T., Tsuchikawa, S., Holzforschung, 72(9), 789-796 (2018).
  • “Near-infrared hyperspectral imaging for classification of mung bean seeds”, Phuangsombut, K., Ma T., Inagaki T., Tsuchikawa S., Terdwongworakul, A.; International Journal of Food Properties, 21(1), 799-807 (2018).
  • “Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)”, Sofianto, I. A., Inagaki, T., Ma, T., Tsuchikawa, S., Holzforschung, DOI: https://doi.org/10.1515/hf-2018-0060
  • “Non-destructive evaluation of wood stiffness and fiber coarseness, derived from SilviScan data, via near infrared hyperspectral imaging”, Ma, T., Inagaki, T., Tsuchikawa, S., Journal of Near Infrared Spectroscopy, 26(6), 398-405 (2018).
  • “NIR estimation of concentration of ginsenosides in Asian ginseng”, Inagaki, T., Katayama, N., Cho, R., Chen, X., Tsuchikawa S., Journal of Near Infrared Spectroscopy, DOI: https://doi.org/10.1177/0967033518814851, ***-*** (2018).
  • “Rapid identification of wood species by near infrared spatially-resolved spectroscopy (NIR-SRS) based on hyperspectral imaging (HSI)”, Ma, T., Inagaki, T., Ban, M., Tsuchikawa, S., Holzforschung, DOI: 10.1515/hf-2018-0128, (2018).

2017年

  • “Calibration of SilviScan data of Cryptomeria japonica wood concerning density and microfibril angles with NIR hyperspectral imaging with high spatial resolution”, Ma, T., Inagaki, T., Tsuchikawa, S., Holzforschung, 71(4), 341-347 (2017).
  • “Classification of mung bean seeds for sprout production using near-infrared spectroscopy and hyperspectral imaging”, Phuangsombut, K., Terdwongworakul, A., Suttiwijitpukdee, N., Phuangsombut A., Tsuchikawa S., Inagaki T., Ma T., Thai Society of Agricultural Engineering Journal, 23(1), 23-29 (2017).
  • “The effect of path length, light intensity and co-added time on the detection limit associated with NIR spectroscopy of potassium hydrogen phthalate in aqueous solution”, Inagaki, T., Watanabe, T., Tsuchikawa S., PLOS ONE, https://doi.org/10.1371/journal.pone.0176920 (2017).
  • “Segregating wood wastes by repetitive principal component analysis of near infrared spectra”, Kobori, H., Higa, S., Tsuchikawa, S., Kojima, Y., Suzuki, S, Journal of Near Infrared Spectroscopy, 25(3), 180-187 (2017).
  • “High spatial resolution and non-destructive evaluation of wood density and microfibril angle by NIR hyperspectral imaging”, Ma, T., Inagaki, T., Tsuchikawa, S., NIR news, 28(5), 7-12 (2017).
  • “Temperature dependence of wood photodegradation monitored by infrared spectroscopy”, Varga, D., Tolvaj, L., Tsuchikawa, S., Bejoc, L., Prekleta, E., Journal of Photochemistry and Photobiology A: Chemistry, 348, 219-225 (2017).
  • “Dynamic behavior of wood chemical components under drying process measured by near-infrared spectroscopy”, Sugii, S., Fujimoto, T., Tsutsumi, H., Inagaki, T., Tsuchikawa, S., Journal of Near Infrared Spectroscopy, 25(6), 400-406 (2017).
  • “Modulus of elasticity prediction model on sugi (Cryptomeria japonica) lumber using online near-infrared (NIR) spectroscopic system”, Sofianto, I. A., Inagaki, T., Kato, K., Itoh, M., Tsuchikawa, S., International Wood Products Journal, 8(4), 193-200 (2017).
  • “Stiffness and Moisture Content Prediction Model of Wooden Veneer Using Fast Online Near-Infrared (NIR) Spectroscopic System”, Sofianto, I. A., Inagaki, T., Itoh, M., Tsuchikawa, S., Forestry Research and Engineering: International Journal, 1(2), 1-5 (2017).
  • “High-Resolution and Non-destructive Evaluation of the Spatial Distribution of Nitrate and Its Dynamics in Spinach (Spinacia oleracea L.) Leaves by Near-Infrared Hyperspectral Imaging”, Yang, H., Inagaki, T., Ma, T., Tsuchikawa, S., frontiers in Plant Science, 10.3389/fpls.2017.01937 (2017).

2016年

  • “Determination of optical parameters and moisture content of wood with visible-NIR spectroscopy”, Haddadi, A, Hans, G., Leblon, B., Pirouz, Z., Tsuchikawa, S., Nader, J. and Groves, K., Journal of Near Infrared Spectroscopy, 24, 571-585 (2016).
  • “Determination of true optical absorption and scattering coefficient of wooden cell wall substance by time-of-flight near infrared spectroscopy”, Kitamura, R., Inagaki, T., Tsuchikawa, S., Optic Express, 24(4) 3999-4009, (2016).
  • “Optical properties of drying wood studied by time-resolved near-infrared spectroscopy”, Konagaya, K., Inagaki, T., Kitamura, R., Tsuchikawa, S., Optic Express, 24(9) 9561-9573, (2016).
  • “Three fiber-based diffuse reflectance spectroscopy for estimation of total solid content in natural rubber latex”, Inagaki, T., Nozawa, D., Shimomura, Y., Tsuchikawa S., Journal of Near Infrared Spectroscopy, 24, 327-335 (2016).
  • “Nondestructive inspection of insects in chocolate using near infrared multispectral imaging”, Ma, T., Kobori, H., Katayama, N., Tsuchikawa, S., Journal of Near Infrared Spectroscopy, 24, 391-397 (2016).
  • “近赤外分光法を用いた紙中の木材パルプの複合的評価手法の開発” 河部千香、深沢博之、稲垣 哲也、土川 覚、紙パ技協誌、71(3), 318-325 (2016).