Ethanol Production from Non-Detoxified Steam-Exploded Corn Stover Subsequent Enzymatic Hydrolysis by Two Toxin-Tolerant Yeast Strains

2011 ◽  
Vol 365 ◽  
pp. 145-149
Author(s):  
Xun Men ◽  
Xiu Shan Yang ◽  
Shen Tian
Keyword(s):  
Enzymatic Hydrolysis ◽  
Ethanol Production ◽  
Corn Stover ◽  
Fermentation Process ◽  
Ethanol Concentration ◽  
Enzymatic Hydrolysate ◽  
Yeast Strains ◽  
Inhibitory Compounds ◽  
Operation Cost ◽  
Detoxification Process

Fermentation process for ethanol production from steam-exploded corn stover using toxin-tolerant yeast strains was carried out in order to reduce the water consumption and operation cost. The substrate from steam-exploded did not undergo a detoxification process by wash, and was directly hydrolyzed by enzymes. Two toxin-tolerant stains, Y1 and Y5, were tested to ferment the enzymatic hydrolysate slurry directly to ethanol. In the enzymatic hydrolysate slurry containing inhibitory compounds, the strain Y1 and Y5 could convert the sugar to ethanol with ethanol concentration of 47.0 g/L and 47.2 g/L corresponding to 95.9% and 96.4% of the theoretical maximum, respectively.

Fuel Ethanol Production from Wet Oxidised Corn Stover by S. Cerevisiae

2011 ◽  
Vol 343-344 ◽  
pp. 963-967 ◽  
Author(s):  
Zhang Qiang ◽  
Anne Belinda Thomsen
Keyword(s):  
Ethanol Production ◽  
Corn Stover ◽  
Simultaneous Saccharification And Fermentation ◽  
Ethanol Concentration ◽  
Ethanol Yield ◽  
Liquid Fraction ◽  
Raw Material ◽  
Wet Oxidation ◽  
Inhibition Effect ◽  
Simultaneous Saccharification

In order to find out appropriate process for ethanol production from corn stover, wet oxidation（195°C，15 minutes）and simultaneous saccharification and fermentation (SSF) was carried out to produce ethanol. The results showed that the cellulose recovery of 92.9% and the hemicellulose recovery of 74.6% were obtained after pretreatment. 86.5% of cellulose was remained in the solid cake . After 24h hydrolysis at 50°C using cellulase（Cellubrix L）,the achieved conversion of cellulose to glucose was 64.8%. Ethanol production was evaluated from dried solid cake and the hydrolysate was employed as liquid fraction . After 142 h of SSF with substrate concentration of 8% (W/V), ethanol yield of 73.1 % of the theoretical based on glucose in the raw material was obtained by S. cerevisiae(ordinary baker’ yeast) . The corresponding ethanol concentration and volumetric productivity were 17.2g/L and 0.121g/L.h respectively. The estimated total ethanol production was 257.7 kg/ton raw material by assuming consumption of both C-6 and C-5. No obvious inhibition effect occurred during SSF. These instructions give you the basic guidelines for preparing papers for WCICA/IEEE conference proceedings.

scholarly journals Performance Evaluation of Sweet Sorghum Juice and Sugarcane Molasses for Ethanol Production

2015 ◽  
Vol 17 (3) ◽  
pp. 13-18
Author(s):  
Mohammad Sadegh Hatamipour ◽  
Abbas Almodares ◽  
Mohsen Ahi ◽  
Mohammad Ali Gorji ◽  
Qazaleh Jahanshah
Keyword(s):  
Performance Evaluation ◽  
Cell Viability ◽  
Physical Properties ◽  
Ethanol Production ◽  
Sweet Sorghum ◽  
Fermentation Process ◽  
Ethanol Concentration ◽  
Sugarcane Molasses ◽  
Sweet Sorghum Juice ◽  
High Ethanol

Abstract Sweet sorghum juice and traditional ethanol substrate i.e. sugarcane molasses were used for ethanol production in this work. At the end of the fermentation process, the sweet sorghum juice yielded more ethanol with higher ethanol concentration compared to sugarcane molasses in all experiments. The sweet sorghum juice had higher cell viability at high ethanol concentrations and minimum sugar concentration at the end of the fermentation process. The ethanol concentration and yield were 8.9% w/v and 0.45 g/g for sweet sorghum in 80 h and 6.5% w/v and 0.37 g/g for sugarcane molasses in 60 h, respectively. The findings on the physical properties of sweet sorghum juice revealed that it has better physical properties compared to sugarcane molasses, resulting to enhanced performance of sweet sorghum juice for ethanol production

scholarly journals Comparative Evaluation of the Dynamics of Alcohol Production of Wine Yeast Strains Isolated in Tokaj Region

2020 ◽  
pp. 1-22
Author(s):  
Zoltán Kállai ◽  
Zsuzsa Antunovics ◽  
Gyula Oros
Keyword(s):  
Comparative Evaluation ◽  
Type Strain ◽  
Fermentation Process ◽  
Ethanol Concentration ◽  
Wine Yeast ◽  
Lag Phase ◽  
Wine Yeasts ◽  
Alcohol Production ◽  
Yeast Strains ◽  
Final Ethanol Concentration

The dynamics of ethanol production of wine yeasts were examined in model experiments as well as in the winery. The ethanol concentration in young wines fermented by local strains of Saccharomyces cerevisiae, S. uvarumor Starmerella bacillaris (21, 2 and 2, respectively) did not vary considerably (c.v. 1.9 %). All of them produced significantly higher amount of ethanol than the type strain [ATCC 26108] of S. cerevisiae. However, their performance during the fermentation process diverged significantly. Thus the lag phase varied between 33 and 123 hours, while the time requested to produce half of the final ethanol concentration varied between 67 and 294 hours.

Simultaneous Saccharification and Co-Fermentation (SSCF) Using Banana and Pineapple Waste as Substrate

2016 ◽  
Vol 857 ◽  
pp. 465-468 ◽  
Author(s):  
Yi Peng Teoh ◽  
Sharifah Zati-Hanani
Keyword(s):  
Enzymatic Hydrolysis ◽  
Ethanol Production ◽  
Kluyveromyces Marxianus ◽  
Aspergillus Terreus ◽  
Ethanol Concentration ◽  
Environmental Issues ◽  
Processing Industry ◽  
Pineapple Waste ◽  
Transportation Sector ◽  
Simultaneous Saccharification

Ethanol is the most extensively used fuel in worldwide particularly for transportation sector. Recently, researchers are focusing in producing ethanol from crops and agricultural wastes. This work is aimed to utilize the banana and pineapple waste from processing industry for ethanol production and consequently help to reduce potential environmental issues. Batch enzymatic hydrolysis via simultaneous saccharification and co-fermentation (SSCF) technology was carried out using Aspergillus terreus (fungi) and Kluyveromyces marxianus (thermo-tolerant yeast). Results revealed that maximum ethanol concentration of 0.35 g/L and 0.27 g/L could be achieved by utilizing banana and pineapple waste, respectively.

scholarly journals FRACTAL KINETICS ANALYSIS OF ENZYMATIC HYDROLYSIS OF SAWDUST USING CELLULASE IN ETHANOL PRODUCTION

2018 ◽  
Vol 7 (2) ◽  
pp. 100-107
Author(s):  
Megawati Megawati ◽  
Dewi Selvia Fardhyanti ◽  
Haniif Prasetiawan ◽  
Dhoni Hartanto ◽  
Ianatul Khoiroh ◽  
...  
Keyword(s):  
Enzymatic Hydrolysis ◽  
Ethanol Production ◽  
Rate Constants ◽  
Ethanol Concentration ◽  
Degradation Process ◽  
Sugar Concentration ◽  
Drying Process ◽  
Fractal Kinetics ◽  
Kinetics Analysis ◽  
Hydrolysis Of

Sawdust is one of the abundantly lignocellulosic materials in the world. Sawdust is considered promosing for ethanol production, because it contains mainly lignin, hemicellulose, and cellulose. The drying process was applied to pretreat sawdust to make its degradation process easier. Biodegradation of sawdust was conducted by enzymatic hydrolysis using cellulase. The volume of cellulase in the hydrolysis substrate was varied from 5 to 9% v/v. The sugar concentration produced by enzymatic hydrolysis of sawdust every 1 h was recorded as well as its fractal kinetics analysis. Fermentation using yeast in 5 days was also performed to convert sugar hydrolysate to ethanol. Optimal sugar concentration in hydrolysate obtained was about 0.15 mol/L with cellulase volume of 9% v/v and its ethanol concentration was about 0.059% v/v. Fractal kinetics models by Kopelman and Valjamae which can quantitatively describe enzymatic hydrolysis of sawdust using cellulase were used. However, the result of this study indicated that, at high enzyme volume (9% v/v), Valjamae model was more suitable than Kopelman. The fractal exponent value (h) was about 0.667 and the rate constants (k) were about 0.44, 0.53, and 0.58 1/h at the enzyme volume of 5, 7, and 9% v/v. Thus, it can be concluded that enzyme volumes significantly effect rate constants.

PREDICTION AND OPTIMIZATION OF ETHANOL CONCENTRATION IN BIOFUEL PRODUCTION USING FUZZY NEURAL NETWORK

2016 ◽  
Vol 78 (10) ◽  
Author(s):  
Leila Ezzatzadegan ◽  
Noor Azian Morad ◽  
Rubiyah Yusof
Keyword(s):  
Ethanol Production ◽  
Corn Stover ◽  
Fermentation Process ◽  
Sugar Content ◽  
Fuzzy Model ◽  
Biofuel Production ◽  
Glucose Content ◽  
Fermentation Time ◽  
Neuro Fuzzy ◽  
Fuzzy Neural

In recent years, producing economical biofuels especially bio-ethanol from lignocellulosic materials has been widely considered.  Fermentation is an important step in ethanol production process. Fermentation process is completely nonlinear and depends on some parameters such as temperature, sugar content, and PH. One of the difficulties in producing biomass is finding the optimum point of the interrelated parameters in the fermentation step. In this study, an elaborate prediction Neuro-Fuzzy model was built to predict the bio-ethanol production from corn stover. Also, particle swarm optimization (PSO) method was used to optimize the three studied parameters: temperature, glucose content, and fermentation time. The attained correlation coefficient (0.99), and root mean square error (0.637) for model validation show the reliability of the model. Optimization of the model shows the optimum fermentation time and required temperature quantities, 69.39hours and 34.50 ͦC, respectively. The good result for ANFIS modeling on fermentation process in bio-ethanol production from corn stover shows that this method can be used to investigate more about other biomass lignocellulos sources.

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