@article { ISI:000257971900057, title = {Use of response surface optimization for the production of biosurfactant from rhodococcus spp. MTCC 2574}, journal = {Bioresource Technology}, volume = {99}, number = {16}, year = {2008}, month = {NOV}, pages = {7875-7880}, publisher = {ELSEVIER SCI LTD}, type = {Article}, address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}, abstract = {

The production of biosurfactant from Rhodococcus spp. MTCC 2574 was effectively enhanced by response surface methodology (RSM). Rhodococcus spp. MTCC 2574 was selected through screening of seven different Rhodococcus strains. The preliminary screening experiments (one-factor at a time) suggested that carbon source: mannitol, nitrogen source: yeast extract and meat peptone and inducer: n-hexadecane are the critical medium components. The concentrations of these four media components were optimized by using central composite rotatable design (CCRD) of RSM. The adequately high R-2 value (0.947) and F score 19.11 indicated the statistical significance of the model. The optimum medium composition for biosurfactant production was found to contain mannitol (1.6 g/L), yeast extract (6.92 g/L), meat peptone (19.65 g/L), n-hexadecane (63.8 g/L). The crude biosurfactant was obtained from methyl tert-butyl ether extraction. The yield of biosurfactant before and after optimization was 3.2 g/L of and 10.9 g/L, respectively. Thus, RSM has increased the yield of biosurfactant to 3.4-fold. The crude biosurfactant decreased the surface tension of water from 72 mN/m to 30.8 mN/m (at 120 mg L-1) and achieved a critical, micelle concentration (CMC) value of 120 mg L-1. (C) 2008 Published by Elsevier Ltd.

}, keywords = {Biosurfactant, Medium optimization, Response surface methodology, Rhodococcus spp.}, issn = {0960-8524}, doi = {10.1016/j.biortech.2008.02.027}, author = {Mutalik, Snehal R. and Vaidya, Bhalchandra K. and Joshi, Renuka M. and Desai, Kiran M. and Nene, Sanjay N.} } @article { ISI:000265398300016, title = {Media optimization for biosurfactant production by rhodococcus erythropolis MTCC 2794: artificial intelligence versus a statistical approach}, journal = {Journal of Industrial Microbiology \& Biotechnology}, volume = {36}, number = {5}, year = {2009}, month = {MAY}, pages = {747-756}, publisher = {SPRINGER HEIDELBERG}, address = {TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY}, abstract = {

This paper entails a comprehensive study on production of a biosurfactant from Rhodococcus erythropolis MTCC 2794. Two optimization techniques-(1) artificial neural network (ANN) coupled with genetic algorithm (GA) and (2) response surface methodology (RSM)-were used for media optimization in order to enhance the biosurfactant yield by Rhodococcus erythropolis MTCC 2794. ANN and RSM models were developed, incorporating the quantity of four medium components (sucrose, yeast extract, meat peptone, and toluene) as independent input variables and biosurfactant yield [calculated in terms of percent emulsification index (\% EI24)] as output variable. ANN-GA and RSM were compared for their predictive and generalization ability using a separate data set of 16 experiments, for which the average quadratic errors were similar to 3 and similar to 6\%, respectively. ANN-GA was found to be more accurate and consistent in predicting optimized conditions and maximum yield than RSM. For the ANN-GA model, the values of correlation coefficient and average quadratic error were similar to 0.99 and similar to 3\%, respectively. It was also shown that ANN-based models could be used accurately for sensitivity analysis. ANN-GA-optimized media gave about a 3.5-fold enhancement in biosurfactant yield.

}, keywords = {Artificial neural network, Biosurfactant, Genetic algorithm, Media optimization, Response surface methodology, Rhodococcus}, issn = {1367-5435}, doi = {10.1007/s10295-009-0547-6}, author = {Pal, Moumita P. and Vaidya, Bhalchandra K. and Desai, Kiran M. and Joshi, Renuka M. and Nene, Sanjay N. and Kulkarni, Bhaskar D.} } @article { ISI:000277581100043, title = {Biocatalytic approach for the utilization of hemicellulose for ethanol production from agricultural residue using thermostable xylanase and thermotolerant yeast}, journal = {Bioresource Technology}, volume = {101}, number = {14}, year = {2010}, month = {JUL}, pages = {5366-5373}, publisher = {ELSEVIER SCI LTD}, address = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}, abstract = {

A hydrolysis of 62\% and 50\% for OSX (Oat spelt xylan) and WBH (Wheat bran hemicellulose) were obtained in 36 h and 48 h using Accellerase(TM) 1000 at 50 degrees C wherein thermostable xylanase from alkalothermophilic Thermomonospora sp. yielded 67\% (OSX) in 3 h and 58\% (WBH) in 24 h at 60 degrees C, favouring a reduction in process time and enzyme dosage. The rate of hydrolysis with thermostable xylanase was increased by 20\% with the addition of nonionic surfactant tween 80 or biosurfactant sophorolipid. The simultaneous saccharification and fermentation (SSF) of OSX and WBH using thermostable xylanase and D. hansenii in batch cultures produced 9.1 g/L and 9.5 g/L of ethanol, respectively and had a shorter overall process time than the separate hydrolysis and fermentation (SHF). The immobilized yeast cells in Ca-alginate matrix produced ethanol with a yield of 0.46 g/g from hemicellulosic hydrolysates and were reused six times with 100\% fermentation efficiency. (C) 2010 Elsevier Ltd. All rights reserved.

}, keywords = {Biosurfactant, Ethanol, Hemicellulose, Thermostable xylanase, Thermotolerant yeast}, issn = {0960-8524}, doi = {10.1016/j.biortech.2010.01.150}, author = {Menon, Vishnu and Prakash, Gyan and Prabhune, Asmita and Rao, Mala} } @article {47051, title = {Rhamonolipids produced by Pseudomonas aeruginosa promotes methane hydrates formation in fixed bed silica gel medium}, journal = {Marine Geophysical Research}, volume = {42}, year = {2021}, month = {MAR}, pages = {5}, type = {Article}, abstract = {

Natural gas hydrates are seen as an alternative future energy source. They have also been valued for their carbon dioxide capturing capability, gas separation, desalination, natural gas storage and transportation. Developing economical and viable gas hydrate based technology is one of the most promising research areas of present decade. Successful commercialization of gas hydrate based technology is often curtailed due to slow formation rate. The present study evaluates biosurfactant as a kinetic promoter of methane hydrates formation in a fixed bed C type silica gel medium. Biosurfactant was produced by growing Pseudomonas aeruginosa strain A11 in glycerol supplemented mineral salt medium. Biosurfactant characterization with FTIR, NMR and MALDI-TOF spectroscopy reveled it to be a glycolipids type biosurfactant namely rhamnolipids. Saturating C type silica gel with of 100 ppm rhamnolipids solution enhanced the rate of methane hydrates formation by reducing the induction time. Mole of methane consumed and percentage of water to hydrate conversion was observed to be more in 1000 ppm rhamnolipids saturated C type silica gel as compared to quiescent water system and water saturated silica gel system. Overall results suggest that rhamonolipids produced by strain A11 in combination with silica gel can be utilized as environmentally safe kinetic promoter for methane hydrate formation.

}, keywords = {Biosurfactant, Energy, Glycolipids, Induction time, Kinetic promoter}, issn = {0025-3235}, doi = {10.1007/s11001-020-09426-6}, author = {Arora, Amit and Cameotra, Swaranjit Singh and Balomajumder, Chandrajit and Kumar, Rajnish and Singh, Anil Kumar and Santhakumari, B. and Kumar, Pushpendra and Laik, Sukumar} }