Redox potential-driven repeated batch ethanol fermentation under very-high-gravity conditions

Feng, Sijing; Srinivasan, S.; Lin, Yen‐Han

doi:10.1016/j.procbio.2011.12.018

Cited by 12 publications

(15 citation statements)

References 12 publications

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“…It is also important to note that there were no residual glucose left at each cycle for all sets of experiments. These conclusions were agreed with previous publications related to yeast metabolism [3,9]. …”

Section: Reproducibility Of Dco 2 -Driven Repeated Batch Fermentationsupporting

confidence: 94%

“…As similar as former redox-potential driven repeated batch system [3], the dCO 2 self-regulated repeated batch system settled after 3-4 cycles and the resulted were presented in Table 1. Results suggested that final biomass concentration under dCO 2 control was much higher than that of no control case.…”

Section: Reproducibility Of Dco 2 -Driven Repeated Batch Fermentationsupporting

confidence: 55%

“…Prior research relevant to SCF processes has been discussed for various bacteria and yeast strains other than saccharomyces cerevisiae [1, 2, 6,]. Feng et al (2012) designed a repeated batch ethanol fermentation where the fermentation redox potential was used to drive self-cycling process [3]. As fermentation proceeded, they reported that the self-cycling period reduced, resulting in high ethanol productivity.…”

Section: Introductionmentioning

confidence: 99%

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Ethanol Fermentation Under Dissolved Carbon Dioxide Control

Feng

Lin

2014

Energy Procedia

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Dissolved carbon dioxide (dCO 2 ) evolved from Saccharomyces cerevisiae was measured, controlled and used to drive repeated batch operation for ethanol fermentation. The experiments were conducted at four glucose feeds (150, 200, 250 and 300 g/l) under three dCO 2 control levels (no control, 750 ppm and 1000 ppm). Results showed that the evolution patterns of dCO 2 depend on the extent of glucose being utilized as well as the dCO 2 control level. Repeated batch was successfully operated for four glucose feeds under dCO 2 control. Controlling dCO 2 level at 750 ppm, the self-cycling period for each repeated batch is 6.6±0.3, 7.3±0.2, 12.12±1.12, and 21.70±5.98 h, as glucose feed changes from 150, 200, 250 and 300 g/l, respectively. When dCO 2 level increases, the self-cycling period increases as well.

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Section: Reproducibility Of Dco 2 -Driven Repeated Batch Fermentationsupporting

confidence: 94%

Section: Reproducibility Of Dco 2 -Driven Repeated Batch Fermentationsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

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Ethanol Fermentation Under Dissolved Carbon Dioxide Control

Feng

Lin

2014

Energy Procedia

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“…To appreciate how implementation of a self-cycling strategy could potentially impact annual ethanol production goals at large scale, we compared SCF with batch in terms of annual ethanol productivity, which represents the ethanol produced per year ( P , ton/year). Feng et al determined the annual fermentation operation time ( t annual ) for an ethanol plant to be 7920 h (330 days) [ 21 ]. For a reactor with a working volume ( V ) of 10 5 L, downtime between cycles was estimated at 6.0 h ( t d-batch ) and 0.25 h for batch and SCF methodology, respectively [ 21 ].…”

Section: Resultsmentioning

confidence: 99%

Improving ethanol productivity through self-cycling fermentation of yeast: a proof of concept

Wang

Chae

Sauvageau

et al. 2017

Biotechnol Biofuels

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Background:The cellulosic ethanol industry has developed efficient strategies for converting sugars obtained from various cellulosic feedstocks to bioethanol. However, any further major improvements in ethanol productivity will require development of novel and innovative fermentation strategies that enhance incumbent technologies in a costeffective manner. The present study investigates the feasibility of applying self-cycling fermentation (SCF) to cellulosic ethanol production to elevate productivity. SCF is a semi-continuous cycling process that employs the following strategy: once the onset of stationary phase is detected, half of the broth volume is automatically harvested and replaced with fresh medium to initiate the next cycle. SCF has been shown to increase product yield and/or productivity in many types of microbial cultivation. To test whether this cycling process could increase productivity during ethanol fermentations, we mimicked the process by manually cycling the fermentation for five cycles in shake flasks, and then compared the results to batch operation. Results:Mimicking SCF for five cycles resulted in regular patterns with regards to glucose consumption, ethanol titer, pH, and biomass production. Compared to batch fermentation, our cycling strategy displayed improved ethanol volumetric productivity (the titer of ethanol produced in a given cycle per corresponding cycle time) and specific productivity (the amount of ethanol produced per cellular biomass) by 43.1 ± 11.6 and 42.7 ± 9.8%, respectively. Five successive cycles contributed to an improvement of overall productivity (the aggregate amount of ethanol produced at the end of a given cycle per total processing time) and the estimated annual ethanol productivity (the amount of ethanol produced per year) by 64.4 ± 3.3 and 33.1 ± 7.2%, respectively. Conclusions:This study provides proof of concept that applying SCF to ethanol production could significantly increase productivities, which will help strengthen the cellulosic ethanol industry.

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“…Despite the fact that SCF has been applied to many microbial fermentation systems, the majority of them were operated under aerobic conditions [7][8][9]11]. In fact, only two research groups examined the operation of SCF under anaerobic conditions [12][13][14]-investigating microbial degradation of nitrate species in the former and ethanol production by yeast in the latter. In both cases, the researchers attempted to use oxidation-reduction potential as a monitoring parameter.…”

Section: Introductionmentioning

confidence: 99%

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Wang

Chae

Bressler

et al. 2020

Biotechnol Biofuels

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Background: The growth of the cellulosic ethanol industry is currently impeded by high production costs. One possible solution is to improve the performance of fermentation itself, which has great potential to improve the economics of the entire production process. Here, we demonstrated significantly improved productivity through application of an advanced fermentation approach, named self-cycling fermentation (SCF), for cellulosic ethanol production. Results:The flow rate of outlet gas from the fermenter was used as a real-time monitoring parameter to drive the cycling of the ethanol fermentation process. Then, long-term operation of SCF under anaerobic conditions was improved by the addition of ergosterol and fatty acids, which stabilized operation and reduced fermentation time. Finally, an automated SCF system was successfully operated for 21 cycles, with robust behavior and stable ethanol production. SCF maintained similar ethanol titers to batch operation while significantly reducing fermentation and down times. This led to significant improvements in ethanol volumetric productivity (the amount of ethanol produced by a cycle per working volume per cycle time)-ranging from 37.5 to 75.3%, depending on the cycle number, and in annual ethanol productivity (the amount of ethanol that can be produced each year at large scale)-reaching 75.8 ± 2.9%. Improved flocculation, with potential advantages for biomass removal and reduction in downstream costs, was also observed. Conclusion:Our successful demonstration of SCF could help reduce production costs for the cellulosic ethanol industry through improved productivity and automated operation.

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Redox potential-driven repeated batch ethanol fermentation under very-high-gravity conditions

Cited by 12 publications

References 12 publications

Ethanol Fermentation Under Dissolved Carbon Dioxide Control

Ethanol Fermentation Under Dissolved Carbon Dioxide Control

Improving ethanol productivity through self-cycling fermentation of yeast: a proof of concept

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

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