Production, functional stability, and effect of rhamnolipid biosurfactant from Klebsiella sp. on phenanthrene degradation in various medium systems

Ahmad, Zulfiqar; Zhang, Xuezhi; Imran, Muhammad; Zhong, Hua; Andleeb, Shaista; Zulekha, Rabail; Liu, Guansheng; Ahmad, Iftikhar; Coulon, Frédéric

doi:10.1016/j.ecoenv.2020.111514

Cited by 57 publications

(8 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…P. aeruginosa strain UKMP14T and Klebsiella sp. strain KOD36 also required 1% initial substrate concentration to yield a high percentage of surface tension reduction and E 24 activities [72,73]. In some cases, salinity can reduce soil microorganism activity due to osmotic stress and the presence of toxic ion concentrations.…”

Section: Biosurfactant Productionmentioning

confidence: 99%

Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology

Zahri

Khalil

Gómez-Fuentes

et al. 2021

Foods

View full text Add to dashboard Cite

An Antarctic soil bacterial consortium (reference BS14) was confirmed to biodegrade canola oil, and kinetic studies on this biodegradation were carried out. The purpose of this study was to examine the ability of BS14 to produce biosurfactants during the biodegradation of canola oil. Secondary mathematical equations were chosen for kinetic analyses (Monod, Haldane, Teissier–Edwards, Aiba and Yano models). At the same time, biosurfactant production was confirmed through a preliminary screening test and further optimised using response surface methodology (RSM). Mathematical modelling demonstrated that the best-fitting model was the Haldane model for both waste (WCO) and pure canola oil (PCO) degradation. Kinetic parameters including the maximum degradation rate (μmax) and maximum concentration of substrate tolerated (Sm) were obtained. For WCO degradation these were 0.365 min−1 and 0.308%, respectively, while for PCO they were 0.307 min−1 and 0.591%, respectively. The results of all preliminary screenings for biosurfactants were positive. BS14 was able to produce biosurfactant concentrations of up to 13.44 and 14.06 mg/mL in the presence of WCO and PCO, respectively, after optimisation. The optimum values for each factor were determined using a three-dimensional contour plot generated in a central composite design, where a combination of 0.06% salinity, pH 7.30 and 1.55% initial substrate concentration led to the highest biosurfactant production when using WCO. Using PCO, the highest biosurfactant yield was obtained at 0.13% salinity, pH 7.30 and 1.25% initial substrate concentration. This study could help inform the development of large-scale bioremediation applications, not only for the degradation of canola oil but also of other hydrocarbons in the Antarctic by utilising the biosurfactants produced by BS14.

show abstract

Section: Biosurfactant Productionmentioning

confidence: 99%

Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology

Zahri

Khalil

Gómez-Fuentes

et al. 2021

Foods

View full text Add to dashboard Cite

show abstract

“…The observed variation in temperature stability of produced biosurfactants (Figure 3) depends on the chemical structure of biosurfactants and may be related to the strength of hydrogen bonds between the hydroxyl groups present which allows or prevents any signi cant dehydration relative to high temperatures (Stubenrauch et al 2001;Udoh and Vinogradov 2019). Ahmad et al (2021) reported that higher temperatures up to 100 ℃ had no signi cant adverse effect on activity of surface tension for biosurfactant produced from Klebsiella sp. There are many studies have showed the positive effect of different temperature degrees ranged from 30 ºC to 120 ºC (Vaz et al 2012;Qazi et al 2014;Moua et al 2016) on the stability of biosurfactants produced by different microorganisms such as Candida lipolytica (Ru no et al 2007), Candida glabrata (Luna et al 2009) and Bacillus subtilis C9 (Haba et al 2000).…”

Section: Temperaturementioning

confidence: 99%

Production of biosurfactants using Egyptian soil fungi

Hamed

Al-Wasify

Ragab

2021

Preprint

View full text Add to dashboard Cite

Soil fungi have unique physiological and metabolic features, and are considered as an important source of biomolecules. The present research aims to study the ability of local soil fungal isolates for the production of biosurfactants and to study the stability of these biosurfactants under different temperatures (50, 70, 90, 110, and 121 ºC), different pH values (2, 3, 6, 10, 12, and 15), and different salinity concentrations (5, 10, 15, 20, and 25% NaCl) depending on the formation of clear zone using oil displacement area (ODA) test. The research also aims to study the enhancement effect of four vegetable oils including sunflower oil, waste frying oil, olive oil, and corn oil on the activity of the produced biosurfactants. The obtained results showed that Aspergillus flavus, Aspergillus wentii and Fusarium sp. had the maximum biosurfactants production. The stability of biosurfactants occurred at alkaline pH, wide range of temperatures, and under high salinity (15%). Sunflower oil had the maximum enhancement effect on the activity of the produced biosurfactants, while corn oil showed lower enhancement effect. Depending on the obtained results, it can be concluded that local soil fungal isolates are considered as a promising source for production of biosurfactants.

show abstract

“…Rekiel et al [ 14 ] evaluated the adsorption properties of rhamnolipid and ethanol in water/ethanol solutions and showed that ethanol/RL mixture had no synergetic effect on the surface tension of the aqueous solution. Recently, Ahmad et al [ 15 ] investigated the stability and efficiency of RL biosurfactants under extreme conditions and indicated that mono-rhamnolipids biosurfactant can be stable at 60 °C, pH 10 and 10% salinity.…”

Section: Introductionmentioning

confidence: 99%

“…They investigated the effects of rhamnolipid concentration (0.2-3 %wt. ), washing time (0.5-40 h), solution pH (3)(4)(5)(6)(7)(8)(9)(10)(11), and liquid/solid ratio (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). They reported that heavy metal washing was favoured (47.85% of Cr removal) at an RL concentration of 0.8% after 12 h at pH 7.0.…”

Section: Introductionmentioning

confidence: 99%

Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms

Khoshdast¹,

Gholami

Hassanzadeh

et al. 2021

Materials

View full text Add to dashboard Cite

This work aims at presenting an advanced simulation approach for a novel rhamnolipidic-based bioflotation process to remove chromium from wastewater. For this purpose, the significance of key influential operating variables including initial solution pH (2, 4, 6, 8, 10 and 12), rhamnolipid to chromium ratio (RL:Cr = 0.010, 0.025, 0.050, 0.075 and 0.100), reductant (Fe) to chromium ratio (Fe:Cr of 0.5, 1.0, 1.5, 2.0, 2.5, 3.0), and air flowrate (50, 100, 150, 200 and 250 mL/min) were investigated and evaluated using Analysis of Variance (ANOVA) method. The RL as both collector and frother was produced using a pure strain of Pseudomonas aeruginosa MA01 under specific conditions. The bioflotation tests were carried out within a bubbly regimed column cell with the dimensions of 60×5.70×0.1 cm. Four optimization techniques based on Artificial Neural Network (ANN) including Cuckoo, genetic, firefly and biogeography-based optimization algorithms were applied to 113 experiments to identify the optimum values of studied factors. The ANOVA results revealed that all four variables influence the bioflotation performance through a non-linear trend. Their influences, except for aeration rate, were found statistically significant (p-value < 0.05), and all parameters followed the normal distribution according to Anderson-Darlin (AD) criterion. Maximum chromium removal of about 98% was achieved at pH of 6, rhamnolipid to chromium ratio of 0.05, air flowrate of 150 mL/min, and Fe to Cr ratio of 1.0. Flotation kinetics study indicated that chromium bioflotation follows the first-order kinetic model with a rate of 0.023 sec−1. According to the statistical assessment of the model accuracy, the firefly algorithm (FFA) with a structure of 4-9-1 yielded the highest level of reliability with the mean squared, root mean squared, percentage errors and correlation coefficient values of test-data of 0.0038, 0.0617, 3.08% and 96.92%, respectively. These values were evidences of the consistency of the well-structured ANN method to simulate the process.

show abstract

Production, functional stability, and effect of rhamnolipid biosurfactant from Klebsiella sp. on phenanthrene degradation in various medium systems

Cited by 57 publications

References 77 publications

Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology

Mathematical Modelling of Canola Oil Biodegradation and Optimisation of Biosurfactant Production by an Antarctic Bacterial Consortium Using Response Surface Methodology

Production of biosurfactants using Egyptian soil fungi

Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms

Contact Info

Product

Resources

About