Simulation Studies on Growth and Death of Microorganisms Using the Oil‐Degrading Bacteria <i>Petrotoga</i> sp.

Daryasafar, Amin; Azad, Ehsan Ganji; Ghahfarokhi, Ali Khorram; Mousavi, Seyyedeh Fatemeh

doi:10.1002/ceat.201400129

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…Brooklawnia species are nonmotile, mesophilic, neutrophilic facultative anaerobic bacteria that have been previously identified in chlorosolvent-contaminated environments (da Costa et al 2015) and Syntrophorhabdus are as well nonmotile, mesophilic but strictly anaerobic bacteria, metabolizing simple aromatic compounds (Kuever 2014). On the other hand, in the control sample (bilge wastewater exposed to anaerobic conditions for 51 days where biomass was developed without any initial inocula), Alphaproteobacteria, Bacteroidia and Thermotogae were the dominant bacteria classes found and Petrotoga, a thermophilic anaerobic bacteria proven to degrade oil (Daryasafar et al 2014), was a dominant genus. It is worth mentioning that the MAnC1 was the culture with greater performance (higher COD reduction and CH 4 production) and for this culture, the class Deltaproteobacteria was present at a higher percentage compared to other cultures and samples (MAnC2, Control, GS).…”

Section: Anaerobic Microbial Profilementioning

confidence: 99%

Comparison of different cultures and culturing conditions for the biological deterioration of organic load from real saline bilge wastewater: microbial diversity insights and ecotoxicity assessment

Mazioti

Vasquez

Vyrides

2021

Environ Sci Pollut Res

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Bilge wastewater is a high strength, typically saline wastewater, originating from operation of ships. In this study, the treatment of real bilge wastewater was tested using pure isolated aerobic strains and mixed cultures (aerobic and anaerobic). The Chemical Oxygen Demand (COD) and ecotoxicity decrease were monitored over time, while the microbial dynamics alterations in mixed cultures were also recorded. The isolated strains Pseudodonghicola xiamenensis, Halomonas alkaliphila and Vibrio antiquaries were shown to significantly biodegrade bilge wastewater. Reasonable COD removal rates were achieved by aerobic mixed cultures (59%, 9 days), while anaerobic mixed cultures showed lower performance (34%, 51 days). The genus Pseudodonghicola was identified as dominant under aerobic conditions both in the mixed cultures and in the control sample (raw wastewater), after exposure to bilge wastewater, demonstrating natural proliferation of the genus and potential contribution to COD reduction. Biodegradation rates were higher when initial organic load was high, while the toxicity of raw wastewater partially decreased after treatment.

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Section: Anaerobic Microbial Profilementioning

confidence: 99%

Comparison of different cultures and culturing conditions for the biological deterioration of organic load from real saline bilge wastewater: microbial diversity insights and ecotoxicity assessment

Mazioti

Vasquez

Vyrides

2021

Environ Sci Pollut Res

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“…Adaptive neuro‐fuzzy interference system, which was initially introduced by Jang, is a new approach established by combining FL with ANN with the aim of making a better decision as well as minimizing the error. Adaptive neuro‐fuzzy interference system reconstructs neural networks as hybrid intelligent systems by incorporating FL into neural networks to find the relationship between input and output data sets . Neural networks can easily learn from the data.…”

Section: Models Developed For Predicting the Application Of Biphasic mentioning

confidence: 99%

Intelligent tools to model photocatalytic degradation of beta‐naphtol by titanium dioxide nanoparticles

Ijadpanah-Saravi

Safari

Noruzi-Masir³

et al. 2017

Journal of Chemometrics

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Feasibility of applying intelligent tools in prediction and optimization of photocatalytic degradation of beta-naphthol using the titanium dioxide (TiO 2 ) nanoparticles were conducted in this study. Biphasic TiO 2 nanoparticles were synthesized using the controlled hydrolysis of TiCl 4 , and their properties were studied using the Xray diffraction and transmission electron microscopy methods. Therefore, factors affecting photocatalytic degradation of beta-naphthol including impurity concentration, catalyst content, acidity, and aeration rate were monitored and controlled. The laboratory data showed that degradation rate of beta-naphthol is a complicated nonlinear function of monitored variables. Two models including artificial network trained with particle swarm optimization (ANN-PSO) and adaptive neuro-fuzzy interference system trained with particle swarm optimization (ANFIS-PSO) were used for prediction of this system. The results showed presence of a significant relation between the real and predicted data of these 2 models. However, ANFIS-PSO can be more efficiently applied for prediction and optimization of photocatalytic behavior of TiO 2 nanoparticles as for degradation of beta-naphthol as compared to ANN-PSO. As an advantage, ANFIS eliminates the problems of fuzzy logic, such as creation of membership functions, and local minima, which should be located in design of ANN, and through PSO algorithm, it could be a very powerful tool for simulating kinds of processes.

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“…We do not segregate the growth and death REM like an earlier study on Petrotoga sp. (Daryasafar et al 2014). That study limits the dynamics of populations because it is possible to have a second growth due to nutrient injection in the middle of decaying process.…”

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confidence: 99%

Microbial enhanced oil recovery: interfacial tension and biosurfactant-bacteria growth

Putra¹,

Hakiki

2019

J Petrol Explor Prod Technol

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Microbial enhanced oil recovery (MEOR) is a method that utilises bacteria or bioproducts to increase oil recovery at the tertiary stage. Clostridium sp. produces biosurfactant that alters rock-fluid properties and increases oil detachment. The interaction between bacteria and surfactant is interesting relation to study. We revisit and develop models for biosurfactantproducing bacteria's growth and the interfacial tension (IFT) response. The biosurfactant-producing bacteria growth model (BBG model) mimics the predator-prey interaction and the IFT response model derived from analogy. Both models form an integrated model called coupled-simultaneous model. We deliver the suitability of these models to experimental datasets by conducting parameter estimation. The decreased number of parameter in BBG model is with the help of rate estimation model. It estimates the bacteria growth rate and biosurfactant production rate. This research introduces a graphical method to narrow parameters initial guess in the IFT model. The method comes with a proposed index to compare surfactant performance called as surfactant performance index (SPI). The paper exposes the logic of each parameter, physics behind the models, and addresses the mathematical artefacts. The significant findings are valuable to anticipate bacterial performance for MEOR.

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Simulation Studies on Growth and Death of Microorganisms Using the Oil‐Degrading Bacteria Petrotoga sp.

Cited by 11 publications

References 16 publications

Comparison of different cultures and culturing conditions for the biological deterioration of organic load from real saline bilge wastewater: microbial diversity insights and ecotoxicity assessment

Comparison of different cultures and culturing conditions for the biological deterioration of organic load from real saline bilge wastewater: microbial diversity insights and ecotoxicity assessment

Intelligent tools to model photocatalytic degradation of beta‐naphtol by titanium dioxide nanoparticles

Microbial enhanced oil recovery: interfacial tension and biosurfactant-bacteria growth

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