Chemometric Analysis with Near-Infrared Spectroscopy for Chemically Pretreated <Emphasis Type="Italic">Erianthus</Emphasis> toward Efficient Bioethanol Production |
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Authors: | Yoshiki Horikawa Tomoya Imai Rie Takada Takashi Watanabe Keiji Takabe Yoshinori Kobayashi Junji Sugiyama |
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Institution: | (1) Research Institute for Sustainable Humanosphere, Kyoto University, Uji Kyoto, 611-0011, Japan;(2) Division of Forest and Biomaterials Science, Graduate School of Agriculture, Kyoto University, Kyoto, Kyoto, Japan;(3) Tsukuba Research Laboratory, Japan Bioindustry Association, Tsukuba, Ibaragi, Japan |
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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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