Ethanol production from kitchen waste using the flocculating yeast Saccharomyces cerevisiae strain KF-7

Tang, Youqi; Koike, Yoji; Liu, Kai; An, Ming Zhe; Morimura, Shigeru; Xiao, Wu; Kida, Kenji

doi:10.1016/j.biombioe.2008.01.027

Cited by 120 publications

(51 citation statements)

References 11 publications

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“…The dry mass of food waste was mainly composed of starch sugars, protein, fat and cellulose, which could be regarded as a suitable substrate for ethanol production. These characteristics were very similar to others that have been reported (Sakai et al 2000;Shin et al 2004;Tang et al 2008). Figure 1a shows the enzymatic digestibility index has increased from 0.73 to 0.78 after 2.5 h of enzymatic hydrolysis with the increase of glucoamylase concentration from 80 to 100 u/g food waste, and 0.1 increase of digestibility index was found when glucoamylase concentration increased further to 120 u/g food waste.…”

Section: Characteristics Of the Food Waste Mixturesupporting

confidence: 91%

Fed batch enzymatic saccharification of food waste improves the sugar concentration in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae H058

Yan

Yao

et al. 2012

Braz. arch. biol. technol.

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Section: Characteristics Of the Food Waste Mixturesupporting

confidence: 91%

Fed batch enzymatic saccharification of food waste improves the sugar concentration in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae H058

Yan

Yao

et al. 2012

Braz. arch. biol. technol.

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“…Similar results have been obtained by Wilkins et al, (2007) who reported that ethanol production from simultaneous saccharification and fermentation of citrus peel waste by S. cerevisiae was greatest when the fermentation temperature and pH were adjusted to 37 ºC and 6.0, respectively. Besides, higher ethanol productivity from the kitchen waste using S. cerevisiae KF-7 as inoculum has been reported at the fermentation conditions of temperature (37 ºC) and pH (5.85) (Tang et al, 2008).…”

Section: Response Surface Plots and Optimization Conditionsmentioning

confidence: 99%

“…Being enormously generated in the recycling facilities and very rich in sugar content (75 g/L, Table 1) FWL can be utilized as a potential substrate for the production of ethanol. Reports exist on the production of ethanol by fermentation of fresh kitchen garbage using Saccharomyces cerevisiae as inoculum (Tang et al, 2008;Wang et al, 2008). However, FWL is different from fresh kitchen garbage being contaminated in nature.…”

Section: Introductionmentioning

confidence: 99%

Optimization of operational parameters for ethanol production from Korean food waste leachate

Man

Behera

Park

2009

Int. J. Environ. Sci. Technol.

158

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ABSTRACT:Recently, research on the production of ethanol from waste has been accelerating for both ecological and economical reasons, primarily for its use as an alternative to petroleum based fuels. In this study, response surface methodology based 2 3 -full factorial central composite design was employed to optimize the parameters of ethanol production from Korean food waste leachate. The reducing sugar concentration of the food waste leachate determined by the dinitrosalicylic acid method was 75 g/L. A second order polynomial model was developed to evaluate the quantitative effects of temperature, pH and reducing sugar concentration in order to find an optimum condition for the ethanol production from food waste leachate. From the experimental result, maximum ethanol concentration of 24.17 g/L was obtained at the optimum condition of temperature (38 ºC), pH (5.45) and reducing sugar concentration (75 g/L). The experimental value (24.17 g/L) agreed very well with the predicted one (23.66 g/L), indicating the suitability of the model employed and the success of response surface methodology in optimizing the conditions of ethanol production from food waste leachate. Canonical analysis indicated that the stationary point was a saddle point for the ethanol yield. Despite being a waste, an ethanol yield of 0.32 g ethanol/g reducing sugar demonstrated the potential of food waste leachate as a promising biomass resource for the production of ethanol.

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“…Like large mothers, large daughter cells have shorter replicative life span (Kennedy 1994). And which confirm that, EI calorie restriction in which nutrient intake is restricted to 60-70 % that of voluntary levels increases life span in most species including mammals (Voet 1586;Tang et al 2008;Bai et al 2007). Then, targeting the increase in CGE by increasing the cell tD should not lead to aging of cells through EI calorie restriction.…”

Section: Introductionmentioning

confidence: 52%

“…Results of both methods were 97-100 % identical. Such promising identically have urged the author of this study to depend on the statistical analysis of those great scientists (Man et al 2011;Xin et al 2003;Phisalaphong et al 2005;Kadambiniguar 2006;Pena et al 1972;Diaz-Ricci et al 1992;Hill et al 1993;Douka 1999;Sprenger 1996;Moawad 2010;Moawad 2011a, b;Moawad 2012a, b;Austriaco 1996;Kennedy 1994;Voet 1586;Tang et al 2008;Bai et al 2007;Yadav et al 1997;Le Man et al 2008;Nahvi et al 2002;Le Man et al 2010;APHA 1998;Miller 1959;Lang et al 2005;Garda et al 2005) on purpose, regarding their results as a ''gold standard'' or fully accepted measurement against which to make a comparison to determine accuracy of the approach.…”

Section: Discussionmentioning

confidence: 99%

Optimizing bioethanol production by regulating yeast growth energy

Moawad

2012

Syst Synth Biol

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The goal of this work is to optimize production of bio-ethanol by fermentation through regulating yeast growth energy (YGE), and provide the mechanism of ethanol production from food-waste leachate (FWL) using yeast (S. cerevisiae) as inoculums to be predictable and controllable. The wide range of reduced sugar concentration (RSC) which is commonly administered from low (35 g per liter) to very high (100 g per liter) is responsible for costs increasing besides risks of FWL contamination and death of yeast cells. A mathematical model is presented to describe yeast growth energy (YGE) due to RSC doses along with predicting the amounts of ethanol yield by each dose to identify the optimum one. Simulations of the presented model showed that YGE, energy intake (EI), and their produced ethanol energy (PEE) are always balanced during fermentation process according to the law of conservation of energy. For a better fermentation rate in a continuous process and a large-scale production; YGE should be less than half of EI and more than its quarter (i.e. 1 4 EI YGE 1 2 EI) which keeps the residual energy less than YGE to avoid risks of osmotic stresses or aging of cells allowing the survival of all yeast cells as long as possible to maximize ethanol production and decrease productivity costs.

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Ethanol production from kitchen waste using the flocculating yeast Saccharomyces cerevisiae strain KF-7

Cited by 120 publications

References 11 publications

Fed batch enzymatic saccharification of food waste improves the sugar concentration in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae H058

Fed batch enzymatic saccharification of food waste improves the sugar concentration in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae H058

Optimization of operational parameters for ethanol production from Korean food waste leachate

Optimizing bioethanol production by regulating yeast growth energy

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