title: High-Speed Scanning for the Quantitative Evaluation of Glycogen Concentration in Bioethanol Feedstock Synechocystis sp. PCC6803 Using a Near-Infrared Hyperspectral Imaging System with a New Near-Infrared Spectral Camera.
abstract: In the present study, the high-speed quantitative evaluation of glycogen concentration accumulated in bioethanol feedstock Synechocystis sp. PCC6803 was performed using a near-infrared (NIR) imaging system with a hyperspectral NIR spectral camera named Compovision. The NIR imaging system has a feature for high-speed and wide area monitoring and the two-dimensional scanning speed is almost 100 times faster than the general NIR imaging systems for the same pixel size. For the quantitative analysis of glycogen concentration, partial least squares regression (PLSR) and moving window PLSR (MWPLSR) were performed with the information of glycogen concentration measured by high performance liquid chromatography (HPLC) and the calibration curves for the concentration within the Synechocystis sp. PCC6803 cell were constructed. The results had high accuracy for the quantitative estimation of glycogen concentration as the best squared correlation coefficient R2was bigger than 0.99 and a root mean square error (RMSE) was less than 2.9%. The present results proved not only the potential for the applicability of NIR spectroscopy to the high-speed quantitative evaluation of glycogen concentration in the bioethanol feedstock but also the expansivity of the NIR imaging instrument to in-line or on-line product evaluation on a factory production line of bioethanol in the future.
authors.affiliation: 1 School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan.
authors.forename: Mika
authors.initials: M
authors.lastname: Ishigaki
authors.affiliation: 2 Organization of Advanced Science and Technology, Kobe University, Kobe, Japan.
authors.forename: Akihito
authors.initials: A
authors.lastname: Nakanishi
authors.affiliation: 2 Organization of Advanced Science and Technology, Kobe University, Kobe, Japan.
authors.forename: Tomohisa
authors.initials: T
authors.lastname: Hasunuma
authors.affiliation: 3 Graduate School of Engineering, Kobe University, Kobe, Japan.
authors.forename: Akihiko
authors.initials: A
authors.lastname: Kondo
authors.affiliation: 4 Sumitomo Electric Industries Ltd., Kanagawa, Japan.
authors.forename: Tetsu
authors.initials: T
authors.lastname: Morishima
authors.affiliation: 4 Sumitomo Electric Industries Ltd., Kanagawa, Japan.
authors.forename: Toshiaki
authors.initials: T
authors.lastname: Okuno
authors.affiliation: 1 School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan.
authors.forename: Yukihiro
authors.initials: Y
authors.lastname: Ozaki
mesh_terms: D019149:Bioreactors / Q000382:microbiology*; D000431:Ethanol / Q000378:metabolism*; D006003:Glycogen / Q000032:analysis* / Q000378:metabolism*; D015233:Models, Statistical; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D046939:Synechocystis / Q000737:chemistry / Q000378:metabolism*
chemical_list: D000431:Ethanol; D006003:Glycogen
keywords: Bioethanol; NIR; Synechocystis sp. PCC6803; near-infrared spectroscopy; quantitative evaluation