scholarly journals Screening And Characterization of Lipopeptide Biosurfactant Producing Paenibacilus Dendritiformis And Its Applicability for Enhanced Oil Recovery

Author(s):  
Anuraj Nayarisseri ◽  
Ravina Khandelwal ◽  
Sanjeev Kumar Singh

Abstract The bio-surfactants produced by microorganisms have high demand from microbial-enhanced oil recovery (MEOR) and they have focused on a chemical surfactant for the past few decades for degrading petro-based pollutants and oil spills due to its non-toxicity and increasing bioavailability. These microorganisms can survive over the different oil species and contaminants that lead to their degradation with carbon dioxide and water as the remnants. The study aims to identify and screen potential lipopeptide biosurfactant produced by Paenibacillus species employing a design experiment based on response surface methodology (RSM). The bacterial culture was isolated from India's most significant brackish water, Chilika Lake. It screened using various protocols, including oil spread assay, BATH, drop collapse assay, hydrocarbon overlay agar method, E24, etc. The acid precipitation performed to extract the biosurfactant produced by isolate succeeding solvent recovery. 0.426g of biosurfactant per 100ml medium was obtained from the isolated novel Paenibacillus dendritiformis strain (C50H87N7O13), having a molecular weight of 999.300g/mol. The highest yield is attained at emulsification activity (E24 = 73.37%), having optimized environmental parameters (pH- 7, temp- 30°C and 4% salinity) using crude oil as the sole carbon source. The isolated novel strain owing an advantage in improving bioremediation of PAH (polycyclic aromatic hydrocarbons) and efficiently impact the environmental contaminants due to its high lipopeptide concentration up to a threshold level. Based on the Box-Behnken experimental design, the E24 values were varied from 24.6% to 73.3%, and the highest E24 was observed for pH 7, temperature 30°C and 4% salinity. The data generated from the biosurfactant stability experiments were used to fit a regression model using the parameters such as ph, temp and salinity to predict the E24 index. R-squared value 0.91 obtained from the annova model explains that the regression model was significant, and the model p-value obtained was < 0.05 and was also statistically significant. Therefore the statistical regression model obtained in the present investigation can predict the E24 index by using any combination of ph, temp and salinity parameters. Molecular characterization of the isolate was carried out by 16S rRNA gene sequencing using Sanger dideoxy sequencing followed by a phylogenetic assessment. The isolate was found to be a novel strain of Paenibacillus dendritiformis, further named Paenibacillus dendritiformis ANSKLAB02. The novel isolates obtained in this research was deposited in GenBank with accession number KU518891. The present study contributes to the list of such microbial factories by introducing a new strain of Paenibacillus dendritiformis. The growth of this species under controlled conditions has a high potential to help in environmental clean-up and is suitable for use in MEOR applications.

RSC Advances ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1952-1959
Author(s):  
Yi Zhao ◽  
Fangfang Peng ◽  
Yangchuan Ke

Emulsion with small particle size and good stability stabilized by emulsifiers was successfully prepared for EOR application.


2010 ◽  
Vol 49 (24) ◽  
pp. 12756-12761 ◽  
Author(s):  
Ajay Mandal ◽  
Abhijit Samanta ◽  
Achinta Bera ◽  
Keka Ojha

Fuel ◽  
2019 ◽  
Vol 235 ◽  
pp. 995-1009 ◽  
Author(s):  
Nilanjan Pal ◽  
Sudhir Kumar ◽  
Achinta Bera ◽  
Ajay Mandal

Foods ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 489 ◽  
Author(s):  
Adriana Antunes-Rohling ◽  
Silvia Calero ◽  
Nabil Halaihel ◽  
Pedro Marquina ◽  
Javier Raso ◽  
...  

The aim of this study was to characterize the spoilage microbiota of hake fillets stored under modified atmospheres (MAP) (50% CO2/50% N2) at different temperatures using high-throughput 16S rRNA gene sequencing and to compare the results with those obtained using traditional microbiology techniques. The results obtained indicate that, as expected, higher storage temperatures lead to shorter shelf-lives (the time of sensory rejection by panelists). Thus, the shelf-life decreased from six days to two days for Batch A when the storage temperature increased from 1 to 7 °C, and from five to two days—when the same increase in storage temperature was compared—for Batch B. In all cases, the trimethylamine (TMA) levels measured at the time of sensory rejection of hake fillets exceeded the recommended threshold of 5 mg/100 g. Photobacterium and Psychrobacter were the most abundant genera at the time of spoilage in all but one of the samples analyzed: Thus, Photobacterium represented between 19% and 46%, and Psychrobacter between 27% and 38% of the total microbiota. They were followed by Moritella, Carnobacterium, Shewanella, and Vibrio, whose relative order varied depending on the sample/batch analyzed. These results highlight the relevance of Photobacterium as a spoiler of hake stored in atmospheres rich in CO2. Further research will be required to elucidate if other microorganisms, such as Psychrobacter, Moritella, or Carnobacterium, also contribute to spoilage of hake when stored under MAP.


Sign in / Sign up

Export Citation Format

Share Document