Ethanol Production from Glycerol by the Yeast<i>Pachysolen tannophilus</i>Immobilized on Celite during Repeated-Batch Flask Culture

Cha, Hye-Geun; Kim, Yi-Ok; Lee, Hyeon-Yong; Choi, Woon Yong; Kang, Do‐Hyung; Jung, Kyung‐Hwan

doi:10.5941/myco.2014.42.3.305

Cited by 8 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concentration of cells in the fermenter can be increased by a repeat batch system. Some advantages of the repeated batch fermentation configuration have been reported, including: improved cell adaptation, elimination of the lag phase, and process cost efficiency [12,13]. Sakai et al [14] reported an increase in ethanol in the CO2/H2 gas fermentation process by algae Morella sp.…”

Section: Introductionmentioning

confidence: 99%

Modeling the synthetic gas fermentation for bioethanol production

Krista

Kresnowati

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The productivity of bioethanol from the synthetic gas anaerobic fermentation by Clostridium jungdahlii is still very low when compared to other bioethanol fermentation methods. The low mass transfer rate of CO, CO2, and H2 gases to the liquid fermentation broth has been considered a major bottleneck in the overall process. Another possible bottleneck is the low concentration of biomass as the real catalyst for bioethanol production. A repeated batch fermentation configuration is proposed to solve the biomass concentration problem. This paper presents the evaluation of the repeated batch configuration for syngas anaerobic fermentation. A model for syngas fermentation has been developed and was used to simulate the effects of repeated batch configurations on bioethanol productivity. The results indicated more than a 50% increase in bioethanol productivity can be achieved by running this fermentation configuration.

show abstract

Section: Introductionmentioning

confidence: 99%

Modeling the synthetic gas fermentation for bioethanol production

Krista

Kresnowati

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…The xylitol‐producing strain exhibited low activities of XDH, XR with preferential affinity to NADPH/NAD + dependent malate dehydrogenase, and cytochrome c oxidase. In another instance, Cha et al (2014) investigated a repeated‐batch approach for ethanol production by Celite immobilized P. tannophilus from glycerol involving the activities of mitochondria electron transport chain under limited and controlled aeration conditions. 6.2 and 5.8 g/L maximum ethanol concentration were obtained for un‐immobilized and immobilized cells respectively which were low compared to the findings of Liu, Jensen, and Workman (2012) who obtained 28.1 g/L using crude glycerol, a byproduct of biodiesel transesterification as the substrate for the un‐immobilized P. tannophilus fermentation.…”

Section: Introductionmentioning

confidence: 99%

Genetics and metabolic engineering of yeast strains for efficient ethanol production

Adebami

Kuila

Ajunwa

et al. 2021

J Food Process Engineering

View full text Add to dashboard Cite

Bioethanol production from monomeric sugar is performed by several yeasts. But there are several limitations associated with yeast strains such as their low tolerance to ethanol, toxic inhibitors, and high sugar concentration. Genetic and metabolic engineering of potential yeast strains can overcome the above limitations. The present article summarized current genetic and metabolic engineering approaches for the development of yeast strain for efficient ethanol production. The review systematically examined bioethanol generations based on substrate utilization, criteria for strain selections, strategies for strain improvements including randomized mutagenesis, genetic engineering, metabolic engineering, genome editing, whole genome (re)sequencing, promoter engineering, quantitative trait locus analysis, protein engineering, and evolutionary engineering. Different fermentation technologies employed in hydrolysate fermentation including low gravity (LG), high gravity (HG), and very high gravity (VHG) as well as challenges of yeast strains development and its future prospect have been critically evaluated in this article. Significant engineering efforts are imminent for yeast‐based second‐generation biofuel to leave a demonstration phase through strain improvement and become economically competitive with fossil fuel. Practical Applications This is a comprehensive review of yeast strain development for bioethanol production. The readers should be able to acquire some basic knowledge on: The accompanied substrates for bioethanol generations as well as the technologies and challenges behind them. The criteria to consider in selecting yeast strain for bioengineering development. Different strategies and their reported applications employed in yeast strain development including randomized mutagenesis, genetic engineering, metabolic engineering, genome editing, whole genome (re)sequencing, promoter engineering, quantitative trait locus (QTL) analysis, protein engineering, and evolutionary engineering. Challenges and merits of different fermentation technologies employed in hydrolysate fermentation including LG, HG, and VHG. Possible challenges to encounter in developing yeast strain for bioethanol production. Desirable traits to consider in the selection and development of yeast strains for bioethanol production.

show abstract

“…Ethanol has a lower exhaust emission toxicity level when compared to that of petroleum (Matsushika et al 2009 ). Currently, nearly 80% of industrial ethanol is produced via fermentation process (Shafaghat et al 2011 ; Cha et al 2014 ). Cell immobilization technology, is one useful technique that can be used to efficiently improve ethanol production by maintaining proper mass transfer and biological metabolic activity via the localization of intact cells to a defined region of space and preservation of catalytic activity for further biochemical process.…”

Section: Introductionmentioning

confidence: 99%

Operational parameters and their influence on particle-side mass transfer resistance in a packed bed bioreactor

et al. 2015

View full text Add to dashboard Cite

The influence of internal mass transfer on productivity as well as the performance of packed bed bioreactor was determined by varying a number of parameters; chitosan coating, flow rate, glucose concentration and particle size. Saccharomyces cerevisiae cells were immobilized in chitosan and non-chitosan coated alginate beads to demonstrate the effect on particle side mass transfer on substrate consumption time, lag phase and ethanol production. The results indicate that chitosan coating, beads size, glucose concentration and flow rate have a significant effect on lag phase duration. The duration of lag phase for different size of beads (0.8, 2 and 4 mm) decreases by increasing flow rate and by decreasing the size of beads. Moreover, longer lag phase were found at higher glucose medium concentration and also with chitosan coated beads. It was observed that by increasing flow rates; lag phase and glucose consumption time decreased. The reason is due to the reduction of external (fluid side) mass transfer as a result of increase in flow rate as glucose is easily transported to the surface of the beads. Varying the size of beads is an additional factor: as it reduces the internal (particle side) mass transfer by reducing the size of beads. The reason behind this is the distance for reactants to reach active site of catalyst (cells) and the thickness of fluid created layer around alginate beads is reduced. The optimum combination of parameters consisting of smaller beads size (0.8 mm), higher flow rate of 90 ml/min and glucose concentration of 10 g/l were found to be the maximum condition for ethanol production.

show abstract

Ethanol Production from Glycerol by the YeastPachysolen tannophilusImmobilized on Celite during Repeated-Batch Flask Culture

Cited by 8 publications

References 18 publications

Modeling the synthetic gas fermentation for bioethanol production

Modeling the synthetic gas fermentation for bioethanol production

Genetics and metabolic engineering of yeast strains for efficient ethanol production

Operational parameters and their influence on particle-side mass transfer resistance in a packed bed bioreactor

Contact Info

Product

Resources

About