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Proceedings Paper

Hybrid optical fiber sensor and artificial neural network system for bioethanol quality control and productivity enhancement
Author(s): Edmilton Gusken; Ricardo M. Salgado; Carlos E. V. Rossell; Takaaki Ohishi; Carlos K. Suzuki
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Paper Abstract

Bioethanol is produced by bio-chemical process that converts sugar or biomass feedstock into ethanol. After bio-chemical process, the solution is distilled under controlled conditions of pressure and temperature, in order to obtain an ethanol-water solution. However, the ethanol concentration analysis is generally performed off-line and, sometimes, a re-distillation process becomes necessary. In this research, an optical apparatus based on Fresnel reflection has been used in combination with artificial neural networks for determination of bioethanol concentration in hydro-alcoholic solution at any temperature. The volumetric concentration and temperature effect was investigated. This intelligent system can effectively detect and update in real-time the correction of distillation parameters to reduce losses of bioethanol and also to improve the quality in a production plant.

Paper Details

Date Published: 16 May 2008
PDF: 4 pages
Proc. SPIE 7004, 19th International Conference on Optical Fibre Sensors, 70042Z (16 May 2008); doi: 10.1117/12.786030
Show Author Affiliations
Edmilton Gusken, UNICAMP - The State Univ. of Campinas (Brazil)
Ricardo M. Salgado, UNICAMP - The State Univ. of Campinas (Brazil)
Carlos E. V. Rossell, Ministry of Science and Technology (Brazil)
Takaaki Ohishi, UNICAMP - The State Univ. of Campinas (Brazil)
Carlos K. Suzuki, UNICAMP - The State Univ. of Campinas (Brazil)

Published in SPIE Proceedings Vol. 7004:
19th International Conference on Optical Fibre Sensors
David Sampson; Stephen Collins; Kyunghwan Oh; Ryozo Yamauchi, Editor(s)

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