Microbial characterization of a facultative residual sludge obtained from a biogas plant with ability to degrade commercial B10 diesel oil

Loureiro, Dana Belén; Olivera, Camila; Tondo, María Laura; Herrero, María Sol; Salvatierra, Lucas Matías; Pérez, Leonardo Martín

doi:10.1016/j.ecoleng.2019.105710

Cited by 7 publications

(2 citation statements)

References 55 publications

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“…The cell growth was calculated by monitoring the cell turbidity, which was measured an optical density of 600 nm (O.D. 600 nm ) (Cai et al 2021;Loureiro et al 2020) using a UV-VIS Shimadzu UV 1,280 at observation times of 0, 1, 3, 5, 7, 9, 11, 13, and 14 days, and using the total plate count method at observation times of 0, 7, and 14 days during the incubation period. The total petroleum hydrocarbons (TPHs) were measured on day 14 of the culture period using hexane extraction as a gravimetric method (Behera et al 2021).…”

Section: Enrichment Of Crude Oil-degrading Bacteriamentioning

confidence: 99%

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Crude Oil Biodegradation Potential using Acinetobacter baumannii CYA20 and Bacillus subtilis CYA27 from the Bekasi Coast, Indonesia

2022

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The pollution of coastal areas caused by oil spills is an environmental issue that needs further attention. Crude oil contains persistent organic pollutants (POPs) that are difficult to degrade. This study aimed to isolate bacterial strains capable of degrading crude oil from the Bekasi coast through bacterial isolate characterization and crude oil biodegradation tests using a crude oil-enriched microcosm model. Two strains with higher TPH degradation values were selected among the isolated bacteria, namely CYA20 and CYA27, which specifically showed values of 46% and 66%, respectively. These strains were tolerant to NaCl concentrations of up to 4% and 12%, respectively, and they were also tolerant to pH values ranging from 5 to 9 and temperatures between 10°C and 50°C. Both strains were shown to utilize POPs, such as phenanthrene and fluorene, produce biosurfactants, and exhibited an emulsification activity in paraffin ranging from 0.373 to 0.533. Phylogenetic analyses identified these bacterial strains as Acinetobacter baumannii CYA20 and Bacillus subtilis CYA27, respectively. The results of this study indicate that these isolates could be developed as biodegradation agents for the bioremediation of crude oil-contaminated environments.

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Section: Enrichment Of Crude Oil-degrading Bacteriamentioning

confidence: 99%

“…Cell growth was calculated by monitoring cell turbidity, which was measured at an optical density of 600 nm (O.D. 600 nm ) (Cai et al 2021;Loureiro et al 2020) with a UV-VIS Shimadzu UV 1,280. (TPHs) were measured on day 14 using hexane extraction as a gravimetry method (Behera et al 2021).…”

Section: Microcosm Biodegradation Experimentsmentioning

confidence: 99%

Crude Oil Biodegradation Potential using Acinetobacter baumannii CYA20 and Bacillus subtilis CYA27 from the Bekasi Coast, Indonesia

2022

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Design of Consortium for the Production of Desired Metabolites

Sharma

Tiwari

Pandey

2021

Microbial Enhanced Oil Recovery

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Dynamic modelling of tetrazolium-based microbial toxicity assay—a parametric proxy of traditional dose-response relationship

Philus

Mahanty

2021

Environ Sci Pollut Res

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Microbial toxicity of test substances in tetrazolium assay is often quantified while referring to IC50 values. However, the implication of such estimates is very limited and can differ across studies depending on prevailing test conditions. In this work, a factorial design-based end-point microbial assay was adopted, which suggests significant interaction (P= 0.041) between inoculum and tetrazolium dose on formazan production. A dynamic model framework was proposed to be incorporated in toxicity assay, that not only captures the nonlinear interdependency between biomass, substrate, formazan content but also measure the toxicity in terms of inhibition parameter. Microbial growth, glucose uptake, formazan production in presence and absence of heavy metal toxicant (Cu 2+ ) in designed batch studies were utilized for sequential estimation of model parameters and their bootstrap confidence intervals. A logistic growth model (R 2 >0.96) with multiplicative inhibition terms fit the experimental data reasonably well. Dynamic relative sensitivity analysis revealed that both microbial growth and formazan production profiles were sensitive to toxicant inhibition parameter. The adoption of a dynamic model framework as a stable index for the toxic potential of test substances can be extended to design a versatile, robust in-vitro assay system.

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Microbial characterization of a facultative residual sludge obtained from a biogas plant with ability to degrade commercial B10 diesel oil

Cited by 7 publications

References 55 publications

Crude Oil Biodegradation Potential using Acinetobacter baumannii CYA20 and Bacillus subtilis CYA27 from the Bekasi Coast, Indonesia

Crude Oil Biodegradation Potential using Acinetobacter baumannii CYA20 and Bacillus subtilis CYA27 from the Bekasi Coast, Indonesia

Design of Consortium for the Production of Desired Metabolites

Dynamic modelling of tetrazolium-based microbial toxicity assay—a parametric proxy of traditional dose-response relationship

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