Modeling of Clostridium tyrobutyricum for Butyric Acid Selectivity in Continuous Fermentation

Du, Jianjun; McGraw, Amy; Hestekin, Jamie A.

doi:10.3390/en7042421

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…Metabolic flux analysis is often used in conjunction to the omics analyses to debug bottlenecks through the metabolic flux of interest [ 128 ]. A metabolic flux analysis on the syngas species, Clostridium tyrobutyricum , correlated increase in NADH with increase in butanol production [ 129 , 130 ]. Moreover, genome-scale metabolic flux balance analysis has been used to construct spatiotemporal metabolic models for Clostridium ljungdahlii [ 131 ].…”

Section: Use Of Omics Based Technology To Monitor Bioprocess Performamentioning

confidence: 99%

Gas fermentation: cellular engineering possibilities and scale up

2017

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Low carbon fuels and chemicals can be sourced from renewable materials such as biomass or from industrial and municipal waste streams. Gasification of these materials allows all of the carbon to become available for product generation, a clear advantage over partial biomass conversion into fermentable sugars. Gasification results into a synthesis stream (syngas) containing carbon monoxide (CO), carbon dioxide (CO2), hydrogen (H2) and nitrogen (N2). Autotrophy–the ability to fix carbon such as CO2 is present in all domains of life but photosynthesis alone is not keeping up with anthropogenic CO2 output. One strategy is to curtail the gaseous atmospheric release by developing waste and syngas conversion technologies. Historically microorganisms have contributed to major, albeit slow, atmospheric composition changes. The current status and future potential of anaerobic gas-fermenting bacteria with special focus on acetogens are the focus of this review.

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Section: Use Of Omics Based Technology To Monitor Bioprocess Performamentioning

confidence: 99%

Gas fermentation: cellular engineering possibilities and scale up

2017

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“…ABE fermentation using Clostridium acetobutylicum yields acetone, butanol and ethanol in a typical ratio of 3:6:1, respectively. However, to make butanol economically viable as a biofuel, the bioconversion efficiency and product purity via the ABE fermentation process should be improved to compensate for the currently very low product yield, product toxicity to microorganisms and multiple end-products [4,[7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Separation of Butanol Using Pervaporation: A Review of Mass Transfer Models

Azimi¹,

Thibault²,

Tezel³

2019

JFFHMT

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Pervaporation is a suitable technique for butanol recovery from aqueous solutions especially ABE fermentation broths. The performance of the membrane, in terms of permeation flux and modelling of the mass transfer through membranes provides a deeper understanding, which may assist to orient the research and the development of pervaporation processes. Modelling of the mass transport through the membrane is based on sorption and diffusion of the components into and across the membrane. In this study, an overview of the different models used for the pervaporation separation of butanol is presented. Up to now, the solutiondiffusion based models were the main methods used and the Maxwell-Stefan theory was very limited. In addition, to our knowledge, the pore-flow model was not applied for the modelling of butanol pervaporation separation. Moreover, the Maxwell-Stefan theory seems to be the most accurate mass transfer model to be used for the pervaporation separation method in comparison to the other models.

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“…A wide variety of modeling approaches have been applied to study microbial communities. They include primary, secondary and tertiary models, , empirical equations, mechanistic models, flux balance analysis, reactive transport models, Bayesian network models, neural networks, cellular automata, and agent-based models (ABMs) …”

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confidence: 99%

Agent-Based Modeling of Microbial Communities

Nagarajan

2022

ACS Synth. Biol.

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Microbial communities are complex living systems that populate the planet with diverse functions and are increasingly harnessed for practical human needs. To deepen the fundamental understanding of their organization and functioning as well as to facilitate their engineering for applications, mathematical modeling has played an increasingly important role. Agent-based models represent a class of powerful quantitative frameworks for investigating microbial communities because of their individualistic nature in describing cells, mechanistic characterization of molecular and cellular processes, and intrinsic ability to produce emergent system properties. This review presents a comprehensive overview of recent advances in agent-based modeling of microbial communities. It surveys the state-of-the-art algorithms employed to simulate intracellular biomolecular events, single-cell behaviors, intercellular interactions, and interactions between cells and their environments that collectively serve as the driving forces of community behaviors. It also highlights three lines of applications of agent-based modeling, namely, the elucidation of microbial range expansion and colony ecology, the design of synthetic gene circuits and microbial populations for desired behaviors, and the characterization of biofilm formation and dispersal. The review concludes with a discussion of existing challenges, including the computational cost of the modeling, and potential mitigation strategies.

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Modeling of Clostridium tyrobutyricum for Butyric Acid Selectivity in Continuous Fermentation

Cited by 4 publications

References 27 publications

Gas fermentation: cellular engineering possibilities and scale up

Gas fermentation: cellular engineering possibilities and scale up

Separation of Butanol Using Pervaporation: A Review of Mass Transfer Models

Agent-Based Modeling of Microbial Communities

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