Abstract
In this paper, we report the combination of a near-infrared (NIR) spectroscopic method with multivariate analysis in order to develop a calibration model of the saccharification ratio of chemically pretreated Erianthus. The regression models clearly depend on the NIR spectral regions, and the information of CH and aromatic framework vibrations contributed most effectively to the alkaline dataset. From interpretations of the regression coefficient, lignin and cellulose were negatively and positively correlated with the saccharification ratio, respectively, and this result was supported by the data from wet chemical analysis. A more complex dataset was obtained from varied chemical pretreatments; here, the saccharification ratio was either small or had no linear correlation with each structural monocomponent. These results enabled the successful construction of the PLS regression model. NIR spectroscopy can be a rapid screening method for the saccharification ratio, and furthermore, can provide information of the key factors influencing the realization of more efficient enzymatic accessibility.
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Haaland, D. M., Easterling, R. G., & Vopicka, D. A. (1985). Applied Spectroscopy, 39, 73–83.
Fredericks, P. M., Lee, J. B., Osborn, P. R., & Swinkels, D. A. J. (1985). Applied Spectroscopy, 39, 303–310.
Fredericks, P. M., Lee, J. B., Osborn, P. R., & Swinkels, D. A. J. (1985). Applied Spectroscopy, 39, 311–316.
Wold, H. (1974). European Economic Review, 5, 67–86.
Lindberg, W., Ohman, J., Wold, S., & Martens, H. (1985). Analytica Chimica Acta, 171, 1–11.
Otto, M., & Thomas, J. D. R. (1985). Analytical Chemistry, 57, 2647–2651.
Lindberg, W., Persson, J. A., & Wold, S. (1983). Analytical Chemistry, 55, 643–648.
Holmgren, A., & Norden, B. (1988). Applied Spectroscopy, 42, 255–262.
Geladi, P., Macdougall, D., & Martens, H. (1985). Applied Spectroscopy, 39, 491–500.
Martens, M., & Martens, H. (1986). Applied Spectroscopy, 40, 303–310.
Sanderson, M. A., Agblevor, F., Collins, M., & Johnson, D. K. (1996). Biomass and Bioenergy, 11, 365–370.
Hames, B. R., Thomas, S. R., Sluiter, A. D., Roth, C. J., & Templeton, D. W. (2003). Applied Biochemistry and Biotechnology, 105, 5–16.
Jin, S. Y., & Chen, H. Z. (2007). Industrial Crops and Products, 26, 207–211.
Bruun, S., Jensen, J. W., Magid, J., Lindedam, J., & Engelsen, S. B. (2010). Industrial Crops and Products, 31, 321–326.
Wolfrum, E. J., & Sluiter, A. D. (2009). Cellulose, 16, 567–576.
Horikawa, Y., Imai, T., Takada, R., Watanabe, T., Takabe, K., Kobayashi, Y., et al. (2011). Applied Biochemistry and Biotechnology, 164, 194–203.
Mislevy, P., Kalmbacher, R. S., Overman, A. J., & Martin, F. G. (1986). Biomass, 11, 243–253.
Sluiter, A., Hames, B., Ruiz, R., Scarlata, C., Sluiter, J., Templeton, D. & Crocker, D. (2008). National renewable energy laboratory. Golden, CO, USA. from http://www.nrel.gov/biomass/analytical_procedures.html.
Adney, B. & Baker, J. (1996). National renewable energy laboratory. Golden, CO, USA. from http://www.nrel.gov/biomass/analytical_procedures.html.
Luchsinger, W. W., & Cornesky, R. A. (1962). Analytical Biochemistry, 4, 346–347.
Savitzky, A., & Golay, M. J. E. (1964). Analytical Chemistry, 36, 1627–1639.
Tsuchikawa, S., & Siesler, H. W. (2003). Applied Spectroscopy, 57, 667–674.
Tsuchikawa, S., & Siesler, H. W. (2003). Applied Spectroscopy, 57, 675–681.
Tsuchikawa, S., Yonenobu, H., & Siesler, H. W. (2005). Analyst, 130, 379–384.
Fan, L. T., Gharpuray, M. M., & Lee, Y.-H. (1987). Cellulose hydrolysis. Berlin: Springer.
Sun, Y., & Cheng, J. Y. (2002). Bioresource Technology, 83, 1–11.
Hendriks, A. T. W. M., & Zeeman, G. (2009). Bioresource Technology, 100, 10–18.
Mitsui, K., Inagaki, T., & Tsuchikawa, S. (2008). Biomacromolecules, 9, 286–288.
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This study is supported by the New Energy and Industrial Technology Development Organization (NEDO). The authors would like to thank Makiko Imai and Keiko Kanai for their experimental discussion and assistance.
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Horikawa, Y., Imai, T., Takada, R. et al. Chemometric Analysis with Near-Infrared Spectroscopy for Chemically Pretreated Erianthus toward Efficient Bioethanol Production. Appl Biochem Biotechnol 166, 711–721 (2012). https://doi.org/10.1007/s12010-011-9460-3
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DOI: https://doi.org/10.1007/s12010-011-9460-3