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Title: Line monitoring by near-infrared chemometric technique for potential ethanol production from hydrothermally treated Eucalyptus globulus
Authors: Horikawa, Yoshiki
Imai, Makiko
Kanai, Keiko
Imai, Tomoya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7026-0287 (unconfirmed)
Watanabe, Takashi  kyouindb  KAKEN_id
Takabe, Keiji  kyouindb  KAKEN_id
Kobayashi, Yoshinori
Sugiyama, Junji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-5388-4925 (unconfirmed)
Author's alias: 堀川, 祥生
Keywords: NIR spectroscopy
Pretreatment
Cellulase
Cellulose
Lignin
Bioprocess monitoring
Issue Date: May-2015
Publisher: Elsevier B.V.
Journal title: Biochemical Engineering Journal
Volume: 97
Start page: 65
End page: 72
Abstract: This study reports a method that combines near-infrared (NIR) measurements with multivariate analysis to predict the saccharification efficiency of hydrothermally pretreated Eucalyptus globulus during ethanol conversion. Optimization of the NIR data with or without spectral treatment determined the best calibration model in the region 10000–4000 cm[−1] of the original spectra, with an RMSEP of 2.08% and Rp[2] of 0.99. By investigating the regression coefficient to understand the key regions and chemical components, for original and multiplicative scatter correction (MSC)-treated spectra, the water absorption and higher wavenumber regions were important. For the second derivative spectra, the regression model was constructed based on the CH overtone vibrations (6050–5500 cm[−1]). The regression coefficient demonstrated that the removal of hemicellulose resulted in higher lignin content, which might affect the biomass properties in terms of water absorption and enhanced enzymatic hydrolysis evaluated by dinitrosalicylic acid (DNS) method. For a higher throughput system, aqueous sample analysis was performed using an immersion probe equipped with an InGaAs detector, which generated an acceptable calibration model having RMSEP of 4.25% and Rp2 of 0.94. These results show the great potential of NIR spectroscopy for achieving fast, accurate, and nondestructive analysis, and its highly adaptability for maintaining an ethanol bioconversion system.TGS, triglycine sulfate
Rights: © 2015 Elsevier B.V. NOTICE: this is the author's version of a work that was accepted for publication in Biochemical Engineering Journal. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Biochemical Engineering Journal, 97 (2015), doi:10.1016/j.bej.2015.01.003
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/196079
DOI(Published Version): 10.1016/j.bej.2015.01.003
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