02249nas a2200241   4500008004100000022001400041245010900055210006900164260009900233300001400332490000700346520131600353653001801669653002401687653003301711653002101744100002401765700002801789700002201817700002101839700002101860856012601881       2008                        eng d  a0960-852400aUse of response surface optimization for the production of biosurfactant from rhodococcus spp. MTCC 25740 aUse of response surface optimization for the production of biosu  aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLANDbELSEVIER SCI LTDcNOV  a7875-78800 v993 a<p>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.</p>10aBiosurfactant10aMedium optimization10aResponse surface methodology10aRhodococcus spp.1 aMutalik, Snehal, R.1 aVaidya, Bhalchandra, K.1 aJoshi, Renuka, M.1 aDesai, Kiran, M.1 aNene, Sanjay, N.  uhttps://library.ncl.res.in/content/use-response-surface-optimization-production-biosurfactant-rhodococcus-spp-mtcc-2574-001976nas a2200253   4500008004100000022001400041245013800055210006900193260008000262300001200342490000700354520098200361653001201343653002401355653003001379653003301409653002901442100002801471700002401499700002201523700002101545700002601566856013001592       2009                        eng d  a1367-543500aEnhanced production of amidase from Rhodococcus erythropolis MTCC 1526 by medium optimisation using a statistical experimental design0 aEnhanced production of amidase from Rhodococcus erythropolis MTC  aTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANYbSPRINGER HEIDELBERGcMAY  a671-6780 v363 a<p>In the present work, statistical experimental methodology was used to enhance the production of amidase from Rhodococcus erythropolis MTCC 1526. R. erythropolis MTCC 1526 was selected through screening of seven strains of Rhodococcus species. The Placket-Burman screening experiments suggested that sorbitol as carbon source, yeast extract and meat peptone as nitrogen sources, and acetamide as amidase inducer are the most influential media components. The concentrations of these four media components were optimised using a face-centred design of response surface methodology (RSM). The optimum medium composition for amidase production was found to contain sorbitol (5 g/L), yeast extract (4 g/L), meat peptone (2.5 g/L), and acetamide (12.25 mM). Amidase activities before and after optimisation were 157.85 units/g dry cells and 1,086.57 units/g dry cells, respectively. Thus, use of RSM increased production of amidase from R. erythropolis MTCC 1526 by 6.88-fold.</p>10aAmidase10aMedium optimisation10aPlackett-Burman screening10aResponse surface methodology10aRhodococcus erythropolis1 aVaidya, Bhalchandra, K.1 aMutalik, Snehal, R.1 aJoshi, Renuka, M.1 aNene, Sanjay, N.1 aKulkarni, Bhaskar, D.  uhttps://library.ncl.res.in/content/enhanced-production-amidase-rhodococcus-erythropolis-mtcc-1526-medium-optimisation-using-0