Effect of inducers and process parameters on laccase production by Streptomyces psammoticus and its application in dye decolourization

The process parameters influencing the production of extracellular laccases by Streptomyces psammoticus MTCC 7334 were optimized in submerged fermentation. Coffee pulp and yeast extract were the best substrate and nitrogen source respectively for laccase production by this strain. The optimization studies revealed that the laccase yield was maximum at pH 7.5 and temperature 32 degrees C. Salinity of the medium was also observed to be influencing the enzyme production. An agitation rate of 175 rpm and 15% inoculum were the other optimized conditions for maximum laccase yield (5.9 U/mL). Pyrogallol and para-anisidine proved to be the best inducers for laccase production by this strain and the enzyme yield was enhanced by 50% with these inducers. S. psammoticus was able to decolourize various industrial dyes at different rates and 80% decolourization of Remazol Brilliant Blue R (RBBR) was observed after 10 days of incubation in dye based medium.     

Utilization of rice straw for laccase production by <Emphasis Type="Italic">Streptomyces psammoticus</Emphasis> in solid-state fermentation

Laccase production from a novel actinobacterial strain, Streptomyces psammoticus, MTCC 7334 was optimized in solid-state fermentation. The process parameters were initially optimized by the conventional “one factor at a time” approach, and the optimal levels of the factors that had considerable influence on enzyme production were identified by response surface methodology. Rice straw was identified as a suitable substrate for laccase production (17.3 U/g), followed by coffee pulp (15.8 U/g). Other optimized conditions were particle size, 500–1,000 μm (21.2 U/g); initial moisture content, 65% (26.8 U/g); pH of moistening solution, 8.0 (26.9 U/g); incubation temperature, 32°C (27.6 U/g) and inoculum size, 1.5 × 10⁷ CFU (33.8 U/g). Yeast extract served as the best nitrogen source (34.8 U/g). No enhancement in enzyme yield was observed with carbon supplementation. The level of yeast extract, inoculum size and copper sulphate were optimized statistically. Statistical optimization performed using a central composite design resulted in threefold increase in laccase activity (55.4 U/g) as compared to the unoptimized medium (17.3 U/g). The upgrading of fermented rice straw for fodder enhancement is also discussed briefly.     

Co-cultivation of mutant Penicillium oxalicum SAU(E)-3.510 and Pleurotus ostreatus for simultaneous biosynthesis of xylanase and laccase under solid-state fermentation

Co-cultivation of mutant Penicillium oxalicum SAU(E)-3.510 and Pleurotus ostreatus MTCC 1804 was evaluated for the production of xylanase-laccase mixture under solid-state fermentation (SSF) condition. Growth compatibility between mutant P. oxalicum SAU(E)-3.510 and white rot fungi (P. ostreatus MTCC 1804, Trametes hirsuta MTCC 136 and Pycnoporus sp. MTCC 137) was analyzed by growing them on potato dextrose agar plate. Extracellular enzyme activities were determined spectrophotometrically. Under derived conditions, paired culturing of mutant P. oxalicum SAU(E)-3.510 and P. ostreatus MTCC 1804 resulted in 58% and 33% higher levels of xylanase and laccase production, respectively. A combination of sugarcane bagasse and black gram husk in a ratio of 3:1 was found to be the most ideal solid substrate and support for fungal colonization and enzyme production during co-cultivation. Maximum levels of xylanase (8205.31 ± 168.31 IU g(-1)) and laccase (375.53 ± 34.17 IU g(-1)) during SSF were obtained by using 4 g of solid support with 80% of moisture content. Furthermore, expressions of both xylanase and laccase were characterized during mixed culture by zymogram analysis. Improved levels of xylanase and laccase biosynthesis were achieved by co-culturing the mutant P. oxalicum SAU(E)-3.510 and P. ostreatus MTCC 1804. This may be because of efficient substrate utilization as compared to their respective monocultures in the presence of lignin degradation compounds because of synergistic action of xylanase and laccase. Understanding and developing the process of co-cultivation appears productive for the development of mixed enzyme preparation with tremendous potential for biobleaching.     

Optimization of L-asparaginase production from novel Enterobacter sp., by submerged fermentation using response surface methodology

The culture conditions and nutritional rations influencing the production of extra cellular antileukemic enzyme by novel Enterobacter aerogenes KCTC2190/MTCC111 were optimized in shake-flask culture. Process variables like pH, temperature, incubation time, carbon and nitrogen sources, inducer concentration, and inoculum size were taken into account. In the present study, finest enzyme activity achieved by traditional one variable at a time method was 7.6 IU/mL which was a 2.6-fold increase compared to the initial value. Further, the L-asparaginase production was optimized using response surface methodology, and validated experimental result at optimized process variables gave 18.35 IU/mL of L-asparaginase activity, which is 2.4-times higher than the traditional optimization approach. The study explored the E. aerogenes MTCC111 as a potent and potential bacterial source for high yield of antileukemic drug.     

Media optimization for the production of beta-carotene by Blakeslea trispora: a statistical approach

Blakeslea trispora (+) MTCC, Blakeslea trispora NRRL 2895 (+), Blakeslea trispora NRRL 2896 (-) as well as intraspecific mating of both the strain types have been studied for optimum production of beta-carotene. Intraspecific mating of both the strain types increased the yield of beta-carotene to a considerable level (98+/-2mg/l) as compared to wild strains. Effect of different media components such as carbon, nitrogen, and sulphates, and that of process variables such as pH and inoculum size on beta-carotene production by Blakeslea trispora in shake flask culture was investigated. One factor at-a-time method was employed for the optimization of media components. Response surface methodology (RSM) was further used to determine the optimum values of process variables for maximum beta-carotene production. The fit of the quadratic model was found to be significant. A significant increase in beta-carotene production (139+/-1mg/l) was achieved using RSM.     

Optimization of culture conditions and bench-scale production of L-asparaginase by submerged fermentation of Aspergillus terreus MTCC 1782

Optimization of culture conditions for L-asparaginase production by submerged fermentation of Aspergillus terreus MTCC 1782 was studied using a 3-level central composite design of response surface methodology and artificial neural network linked genetic algorithm. The artificial neural network linked genetic algorithm was found to be more efficient than response surface methodology. The experimental L-asparaginase activity of 43.29 IU/ml was obtained at the optimum culture conditions of temperature 35 degrees C, initial pH 6.3, inoculum size 1% (v/v), agitation rate 140 rpm, and incubation time 58.5 h of the artificial neural network linked genetic algorithm, which was close to the predicted activity of 44.38 IU/ml. Characteristics of L-asparaginase production by A. terreus MTCC 1782 were studied in a 3 L bench-scale bioreactor.     

Production and statistical optimization of a novel olivanic acid by Streptomyces olivaceus MTCC 6820

A microbial strain, isolated from soil samples, characterized as Streptomyces olivaceus MTCC 6820 showed broad-spectrum antibacterial activity. The compound produced was chemically characterized as a new form of olivanic acid. Olivanic acid production was optimized statistically by Plackett-Burman design (PBD) and response surface methodology (RSM). Effects of soybean meal, glycerol, CaCO₃ and dl-alanine were investigated with the help of PBD. The individual and interaction effects of the studied variables were evaluated by RSM using central composite design (CCD). By applying statistical design, antibiotic production was enhanced nearly 8 times (415 mg/l) as compared with the normal production medium (50 mg/l).     

Optimization of process parameters for the production of tyrosine phenol lyase by Citrobacterfreundii MTCC 2424

The process optimization using technological combinations for the production of tyrosine phenol lyase by Citrobacter freundii MTCC 2424 has been carried out in this study. The maximum production of tyrosine phenol lyase (0.15 U) was obtained by culturing C. freundii MTCC 2424 in a medium containing (g/l) meat extract 5.0, yeast extract 5.0, peptone 2.5, and l-tyrosine 1.0 at 25 degrees C for 16 h in a temperature controlled orbital shaker. A 2.5-fold increase in enzyme activity with 1.3-fold decrease in the cost of enzyme production (in terms of media components) was achieved by using different technological combinations. The process optimization using technological combinations allowed quick optimization of large number of variables, which helps in designing of suitable fermentation conditions for the cost-effective production of tyrosine phenol lyase. Moreover, this also provides information for balancing the nutrient concentration with minimum experimentation.     

Response surface methodology as a decision-making tool for optimization of culture conditions of green microalgae Chlorella spp. for biodiesel production

We have evaluated process optimization and the interactive effects of a number of variables using a Box–Behnken design of response surface methodology (RSM). The process variables nitrate, phosphate, glucose and pH were optimized to enhance the cell growth rate, lipid accumulation and other biochemical parameters of Chlorella spp. The most significant increase in lipid production (dry cell weight basis) occurred at limited concentrations of nitrate and phosphate, 1 % glucose and pH 7.5. The addition of nitrates during the mid-lag and mid-exponential phases produced the maximum inhibitory effect on lipid accumulation and the presence of yeast extract led to a further enhancement of lipid accumulation. Of all the media tested, BG-11 was the best suited medium for algal biomass production and chlorophyll content. A significant increase in algal biomass was observed in BG-11 supplemented with bicarbonate and glucose (1 %). The maximum specific growth rate observed was on 9th day of culturing. Results of optimization of process variables through response surface methodology and optimization of various other conditions reflect cutting edge research directed towards increasing algal biomass and lipid content for biodiesel production using an efficient economical technological approach.     

Media optimization for biosurfactant production by <Emphasis Type="Italic">Rhodococcus erythropolis</Emphasis> MTCC 2794: artificial intelligence versus a statistical approach

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 ~3 and ~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 ~0.99 and ~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.     

Screening and optimization of nutritional factors for higher dextransucrase production by Leuconostocmesenteroides NRRL B-640 using statistical approach

To improve dextransucrase production from Leuconostocmesenteroides NRRL B-640 culture medium was screened and optimized using the statistical design techniques of Plackett-Burman and response surface methodology (RSM). Plackett-Burman design with six variables viz. sucrose, yeast extract, K2HPO4, peptone, beef extract and Tween 80 was performed to screen the nutrients that were significantly affecting dextransucrase production. The variables sucrose, K2HPO4, yeast extract and beef extract showed above 90% confidence levels for dextransucrase production and were considered as significant factors for optimization using response surface methodology. 2(4)-central composite design was used for RSM optimization. The experimental results were fitted to a second-order polynomial model which gave a coefficient of determination R2=0.95. The optimized composition of 30g/l sucrose, 18.9g/l yeast extract, 19.4g/l K2HPO4 and 15g/l beef extract gave an experimental value of dextransucrase activity of 10.7U/ml which corresponded well with the predicted value of 10.9U/ml by the model.     

Use of response surface optimization for the production of biosurfactant from Rhodococcus spp. MTCC 2574

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 R2 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).     

A marked enhancement in the production of a highly alkaline and thermostable pectinase by Bacillus pumilus dcsr1 in submerged fermentation by using statistical methods

The production of a highly alkaline and thermostable pectinase of Bacillus pumilus was optimized in submerged fermentation using Plackett-Burman design and response surface methodology. Three fermentation variables (C:N ratio, K(2)HPO(4), and pH), which were identified to significantly affect pectinase production by Plackett-Burman design were further optimized using response surface methodology of central composite design (CCD). An over all 34- and 41-fold increase in enzyme production was achieved in shake flasks and lab fermenter by the optimization of variables using statistical approaches, respectively. The enzyme was optimally active at pH 10.5 and 50 degrees C, and selectively degraded only the noncellulosic gummy material of ramie (Boehmeria nivea) fibres causing 10.96% fibre weight loss, and therefore, the enzyme could find application in fibre processing industry. The use of the enzyme in fibre processing reduces the use of alkali, and the associated alkalinization of water bodies.     

Optimization of medium composition for lipase production by Candida rugosa NCIM 3462 using response surface methodology

A sequential optimization approach using statistical design of experiments was employed to enhance the lipase production by Candida rugosa in submerged batch fermentation. Twelve medium components were evaluated initially using the Plackett-Burman 2-level factorial design. The significant variables affecting lipase production were found to be glucose, olive oil, peptone, (NH4)2SO4, and FeCl3.6H2O. Various vegetable oils were tested in the second step, and among them, groundnut oil was found to be the best inducer for lipase production by C. rugosa. The third step was to identify the optimal values of the significant medium components with groundnut oil as the inducer using response surface methodology. The regression equation obtained from the experimental data designed using a central composite design was solved, and analyzing the response surface contour plots, the optimal concentrations of the significant variables were determined. A maximum lipase activity of 5.95 U.mL-1, which is 1.64 times the maximum activity obtained in the Plackett-Burman experimental trials, was observed. The optimum combination of medium constituents contained 19.604 g.L-1 glucose, 13.065 mL.L-1 groundnut oil, 7.473 g.L-1 peptone, 0.962 g.L-1 (NH4)2SO4, 0.0019 g.L-1 FeCl3.6H2O, and other insignificant components at the fixed level. A predictive model of the combined effects of the independent variables using response surface methodology and an artificial neural network was proposed. The unstructured kinetic models, logistic model, and Luedeking-Piret model were used to describe cell mass and lipase production. The parameters of the models were evaluated and the lipase production by C. rugosa was found to be growth associated.     

An alkalophilic laccase from Rheinheimera species isolate: Production and biobleaching of kraft pulp

Medium optimization was carried out to enhance laccase production from a novel Rheinheimera species, isolated from industrial effluent. Out of the 15 variables tested by Placket–Burman design (PBD)—yeast extract, soyabean meal, and peptone were the positively significant ones, enhancing laccase production. Both simple and complex sugars showed a negative effect on laccase production. Central composite design (CCD) of experiments, using the three positively significant variables in combinations, showed that laccase production was not affected by molar carbon, molar nitrogen levels or molar C/N ratio. Maximum laccase yield of 2.5 × 10⁵ nkat L^?1, 31 fold enhancement over the unoptimized medium, was achieved when soyabean meal (0.6%) was used alone as medium showing that laccase production was substrate dependent. Laccase was used, in the presence of 2 mM ABTS, for the biobleaching of eucalyptus kraft pulp resulting in kappa number reduction by 20% and brightness increase by 2.9%. Biobleaching improved further by sequential application of an alkalophilic xylanase (X) and laccase‐ABTS system (LAS) that decreased kappa number by 10, 15, and 35%, increased brightness by 2.7, 3.2, and 5.9% as compared to X treated, LAS treated and untreated control, respectively. XLAS treatment resulted in 15, 13, 10.9% increase in burst factor, tear factor, and viscosity with a 20% reduced consumption of elemental chlorine and hypochlorite. © 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012     

Application of factorial experimental designs for optimization of cyclosporin. A production by Tolypocladium inflatum in submerged culture

A sequential optimization strategy based on statistical experimental designs was employed to enhance the production of cyclosporin A (CyA) by Tolypocladium inflatum DSMZ 915 in a submerged culture. A 2-level Plackett-Burman design was used to screen the bioprocess parameters significantly influencing CyA production. Among the 11 variables tested, sucrose, ammonium sulfate, and soluble starch were selected, owing to their significant positive effect on CyA production. A response surface methodology (RSM) involving a 3-level Box-Behnken design was adopted to acquire the best process conditions. Thus, a polynomial model was created to correlate the relationship between the three variables and the CyA yield, and the optimal combination of the major media constituents for cyclosporin A production, evaluated using the nonlinear optimization algorithm of EXCEL-Solver, was as follows (g/l): sucrose, 20; starch, 20; and ammonium sulfate, 10. The predicted optimum CyA yield was 113 mg/l, which was 2-fold the amount obtained with the basal medium. Experimental verification of the predicted model resulted in a CyA yield of 110 mg/l, representing 97% of the theoretically calculated yield.     

Improvement of Bacillus thuringiensis bioinsecticide production by sporeless and sporulating strains using response surface methodology

Statistical experimental designs, involving a Plackett-Burman design followed by a rotatable central composite design were used to optimize the culture medium constituents for Bacillus thuringiensis bioinsecticide production. This was carried out by using firstly an asporogenic strain and extrapolated to some sporeless and sporulating strains. Initial screening of production parameters was performed and the variables with statistically significant effects on delta-endotoxin production were identified: glucose, glycerol, yeast extract and MnSO(4). These variables were selected for further optimization by response surface methodology. The obtained results revealed that the optimum culture medium for delta-endotoxin production consists of 22.5 g/l of glucose, 4.8g/l of glycerol, 5.8 g/l of yeast extract and 0.008 g/l of MnSO(4). Under these conditions, delta-endotoxin production was 2,130 and 2,260 mg/l into 250 and 1,000 ml flask respectively, which represent more than 38% improvement in toxin production over the basal medium (1,636 mg/l). Such medium composition was shown to be suitable for overproducing delta-endotoxins by sporeless and sporulating strains.     

Optimization of nutrient parameters for lovastatin production by <Emphasis Type="Italic">Monascus purpureus</Emphasis> MTCC 369 under submerged fermentation using response surface methodology

Lovastatin, an inhibitor of HMG-CoA reductase, was produced by submerged fermentation using Monascus purpureus MTCC 369. Five nutritional parameters screened using Plackett–Burman experimental design were optimized by Box–Behnken factorial design of response surface methodology for lovastatin production in shake flask cultures. Maximum lovastatin production of 351 mg/l were predicted in medium containing 29.59 g/l dextrose, 3.86 g/l NH₄Cl, 1.73 g/l KH₂PO₄, 0.86 g/l MgSO₄·7H₂O, and 0.19 g/l MnSO₄·H₂O using response surface plots and point prediction tool of DESIGN EXPERT 7.0 (Statease, USA) software.     

Increased production of extracellular laccase by the white rot fungus Coriolus versicolor MTCC 138

Summary The white rot fungus Coriolus versicolor MTCC 138 has been identified as an excellent producer of the industrially important enzyme laccase. The basal medium containing glucose gave laccase activity of 155 U/ml. Screening of different media components and their effects on laccase production by Coriolus versicolor was studied using one factor at a time and L₉ (3⁴) orthogonal array method. A two-fold increase (305 U/ml) in laccase production was observed using a combination of glucose and starch as carbon source and yeast extract as nitrogen source. This activity is very high as compared to most of the reported strains. Hence this strain was explored for enhancement in laccase. The formation of extracellular laccase could be considerably stimulated by the addition of copper in the optimized medium. Addition of 1 mM copper enhanced laccase activity to 460 U/ml. Laccase production was further enhanced using different aromatic inducers. Among different inducers used 2,5-xylidine was found to be the best, and gave maximum laccase activity of 820 U/ml with 1 mM concentration. Thus, this strain could be an efficient and attractive source for laccase production.     

Enhanced production of amidase from <Emphasis Type="Italic">Rhodococcus erythropolis</Emphasis> MTCC 1526 by medium optimisation using a statistical experimental design

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.