Direct prediction of bioethanol yield in sugar beet pulp using Near Infrared Spectroscopy

被引：32

作者：

Magana, C. ^{[2
]}

Nunez-Sanchez, N. ^{[1
]}

Fernandez-Cabanas, V. M. ^{[1
]}

Garcia, P. ^{[2
]}

Serrano, A. ^{[1
]}

Perez-Marin, D. ^{[1
]}

Peman, J. M. ^{[2
]}

Alcalde, E. ^{[2
]}

机构：

[1] NIR Soluc SL, Cordoba 14006, Spain

[2] Syngenta Seeds SA, Barcelona 08006, Spain

来源：

BIORESOURCE TECHNOLOGY | 2011年 / 102卷 / 20期

关键词：

Sugar industry; Biofuel crops; First generation bioethanol; Sugar beet; Near Infrared Spectroscopy; OPTIMIZATION; QUALITY; SPECTRA;

D O I：

10.1016/j.biortech.2011.07.045

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

Sugar beets are a raw material for the production of sugar and ethanol. The decision on which end product to pursue could be facilitated by fast and reliable means of predicting the potential ethanol yield from the beets. A Near Infrared (NIR) Spectroscopy-based approach was tested for the direct prediction of the potential bioethanol production from sugar beets. A modified partial least squares (MPLS) regression model was applied to 125 samples, ranging from 21.9 to 31.0 g L-1 of bioethanol in sugar beet brei. The samples were analyzed in reflectance mode in a Direct Contact Food Analyser (DCFA) FOSS-NIRSysterns 6500 monochromator, with standard error of cross validation (SECV), standard error of prediction (SEP), coefficient of determination (r(2)) and coefficient of variation (CV) of 0.51, 0.49, 0.91 and 1.9 g L-1, respectively. The NIR technique allowed direct prediction of the ethanol yield from sugar beet brei (i.e. the product obtained after sawing beets with a proper machine) in less than 3 min. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：9542 / 9549

页数：8

共 22 条

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