THERMAL SCIENCE

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Ling Peng

OPTIMIZATION OF ETHANOL FERMENTATION WITH REDUCING SUGARS FROM CAMELLIA (CAMELLIA OLEIFERA) SEED MEAL USING RESPONSE SURFACE METHODOLOGY

ABSTRACT
Camellia seed meal is studied as raw material for fermentation of ethanol. In the experiments, the effect of different variables, such as the ratio of calcium to magnesium ion, ammonium chloride addition ratio, and yeast addition ratio on ethanol yield of the reducing sugar fermentation from Camellia seed meal were investigated by a single-factor test and a response surface methodology, respectively. The results indicated that the optimal fermentation conditions of the reducing sugar from Camellia seed meal were the ratio of calcium and magnesium ion 1:1, the ammonium chloride addition ratio 0.70%, the yeast addition ratio 0.4%. And the yield of ethanol was 95.4% under the optimum fermentation conditions (1:1, 0.70% ammonium chloride, 0.4% yeast) given by using response surface methodology (RSM). Moreover, variation coefficient was 0.59%, which showed the results were significantly consistent with the predicted value of RSM. It indicated that response surface methodology was reliable to optimize the fermentation conditions of ethanol yield.
KEYWORDS
Camellia seed meal, reducing sugar, fermentation, ethanol, optimization, RSM
PAPER SUBMITTED: 2017-11-12
PAPER REVISED: 2017-11-16
PAPER ACCEPTED: 2017-12-18
PUBLISHED ONLINE: 2018-02-18
DOI REFERENCE: https://doi.org/10.2298/TSCI171112048P
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Supplement 2, PAGES [S639 - S647]
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Optimization of ethanol fermentation with reducing sugars from Camellia (Camellia oleifera) seed meal using response surface methodology

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence