Synergic effects of biodiesel in the biodegradability of fossil-derived fuels

Pasqualino, Jorgelina; Montané, Daniel; Salvadó, Joan

doi:10.1016/j.biombioe.2006.03.002

Cited by 151 publications

(72 citation statements)

References 13 publications

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“…A model derived from the concept of Pasqualino et al (2006) and Mariano et al (2008) was used in this study to predict the biodegradation value of the blended diesel. The level of error between the model and the experimental values informed about the synergism of the degradation of bio-fossil diesel blends.…”

Section: Synergism In Biodegradationmentioning

confidence: 99%

“…2 and 3) at higher concentration of biodiesel. A model was proposed by Pasqualino et al (2006) and Mariano et al (2008) to evaluate the effect of the addition of biodiesel on the degradation of fossil diesel in the diesel blend. The model was based on the production of CO 2 , a by-product of microbial biodegradation.…”

Section: Concept Of Bacteria Adaptation and Degradation Of Diesel Blendmentioning

confidence: 99%

“…Although biodiesel is reported to be readily biodegradable compared to fossil diesel, there are conflicting opinions about the significance of blending on the biodegradation of diesel (Zhang et al, 1998;Sorensen et al, 2011). According to Pasqualino et al (2006), there is a synergic effect in the biodegradation of blended biodiesel, while for others (Owsianiak et al, 2009) an increase in biodegradation will not necessarily be achieved through blending of biodiesel in fossil diesel.…”

Section: Introductionmentioning

confidence: 99%

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Adaptation behaviour of bacterial species and impact on the biodegradation of biodiesel-diesel

Fosso‐Kankeu

Marx

Brink

2017

Braz. J. Chem. Eng.

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-Two bacteria, namely Bacillus subtilis and Pseudomonas aeruginosa were exposed to different concentrations of diesel to increase their adaptation to the fossil fuel, and were used for the degradation of diesel-biodiesel blends. The biodegradation rate was evaluated using the redox indicator 2,6-dichlorophenol indophenol (DCPIP) test and gravimetric analysis. The preliminary exposure of cells to diesel proved to improve their biodegradation capacities, and exposure to a higher concentration (70%) of diesel resulted in maximum biodegradation of up to 58.38 g and 1.78 g of degraded oil per CFU/mL (10 10 ) for P. aeruginosa and B. subtilis respectively. It was found that the adapted cells preferably used diesel in the blend. P. aeruginosa and B. subtilis exhibited different adaptation capabilities and biodegradation behaviour. Biodiesel stimulated the biodegradation of the diesel-biodiesel blends by non-adapted cells only; the adapted cells exhibited a different behaviour.

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Section: Synergism In Biodegradationmentioning

confidence: 99%

Section: Concept Of Bacteria Adaptation and Degradation Of Diesel Blendmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptation behaviour of bacterial species and impact on the biodegradation of biodiesel-diesel

Fosso‐Kankeu

Marx

Brink

2017

Braz. J. Chem. Eng.

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“…Biodiesel has been well known as one of the promising renewable energies as a biodegradable, renewable, environmentally benign and clean-burning substitute for petroleum diesel fuel. (Pasqualino et al, 2006) Over the past few decades, biodiesel has been produced in industry using conventional catalytic reactions, either acidic or alkaline. However, these catalytic methods are still facing the problems such as time consuming, a tremendous amount of waste water generated, and sensitivity to high free fatty acid and water content.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Approach to Predict Biodiesel Production in Supercritical tert-Butyl Methyl Ether

Farobie

Hasanah

2016

IJOST

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In this study, for the first time artificial neural network was used to predict biodiesel yield in supercritical tert-butyl methyl ether (MTBE). The experimental data of biodiesel yield conducted by varying four input factors (i.e. temperature, pressure, oil-to-MTBE molar ratio, and reaction time) were used to elucidate artificial neural network model in order to predict biodiesel yield. The main goal of this study was to assess how accurately this artificial neural network model to predict biodiesel yield conducted under supercritical MTBE condition. The result shows that artificial neural network is a powerful tool for modeling and predicting biodiesel yield conducted under supercritical MTBE condition that was proven by a high value of coefficient of determination (R) of 0.9969, 0.9899, and 0.9658 for training, validation, and testing, respectively. Using this approach, the highest biodiesel yield was determined of 0.93 mol/mol (corresponding to the actual biodiesel yield of 0.94 mol/mol) that was achieved at 400 °C, under the reactor pressure of 10 MPa, oil-to-MTBE molar ratio of 1:40 within 15 min of reaction time.

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“…Estudos em laboratório têm focado em como o biodiesel estimularia a biodegradação do diesel em ambiente aquático sob condições aeróbias (MARIANO et al, 2008;PRINCE;HAITMANEK;LEE, 2008;DEMELLO et al, 2007;PASQUALINO;MONTANÉ;SALVADÓ, 2006;ZHANG et. al, 1998), porém poucos são relatados em condições anaeróbias.…”

Section: Introductionunclassified

Influência do biodiesel de soja na biodegradação anaeróbia do benzeno e tolueno

Schambeck

Ramos

Chiaranda

et al. 2015

Eng. Sanit. Ambient.

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A influência do biodiesel de soja na biodegradação dos hidrocarbonetos monoaromáticos benzeno e tolueno foi estudada sob condições anaeróbias em dois microcosmos montados com água subterrânea sintética, inóculo metanogênico, benzeno, tolueno e biodiesel. Na presença de biodiesel não foi observada biodegradação do benzeno e do tolueno. Com a biodegradação do biodiesel ocorreu a formação de acetato e metano, uso do sulfato e um aumento de 45 vezes no número de bactérias sulfato-redutoras.Esses resultados mostraram que, na mistura com benzeno e tolueno, o biodiesel foi biodegradado tanto sob condições de sulfato-redução quanto metanogênicas e que sua presença estimulou o crescimento da biomassa. Palavras

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Synergic effects of biodiesel in the biodegradability of fossil-derived fuels

Cited by 151 publications

References 13 publications

Adaptation behaviour of bacterial species and impact on the biodegradation of biodiesel-diesel

Adaptation behaviour of bacterial species and impact on the biodegradation of biodiesel-diesel

Artificial Neural Network Approach to Predict Biodiesel Production in Supercritical tert-Butyl Methyl Ether

Influência do biodiesel de soja na biodegradação anaeróbia do benzeno e tolueno

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