scholarly journals Screening of Actinomycetes from Mangrove Ecosystem for L-asparaginase Activity and Optimization by Response Surface Methodology

2011 ◽  
Vol 60 (3) ◽  
pp. 213-221 ◽  
Author(s):  
RAJAMANICKAM USHA ◽  
KRISHNASWAMI KANJANA MALA ◽  
CHIDAMBARAM KULANDAISAMY VENIL ◽  
MUTHUSAMY PALANISWAMY

Marine actinomycetes were isolated from sediment samples collected from Pitchavaram mangrove ecosystem situated along the southeast coast of India. Maximum actinomycete population was noted in rhizosphere region. About 38% of the isolates produced L-asparaginase. One potential strain KUA106 produced higher level of enzyme using tryptone glucose yeast extract medium. Based on the studied phenotypic characteristics, strain KUA106 was identified as Streptomyces parvulus KUA106. The optimization method that combines the Plackett-Burman design, a factorial design and the response surface method, which were used to optimize the medium for the production of L-asparaginase by Streptomycetes parvulus. Four medium factors were screened from eleven medium factors by Plackett-Burman design experiments and subsequent optimization process to find out the optimum values of the selected parameters using central composite design was performed. Asparagine, tryptone, d) extrose and NaCl components were found to be the best medium for the L-asparaginase production. The combined optimization method described here is the effective method for screening medium factors as well as determining their optimum level for the production of L-asparaginase by Streptomycetes parvulus KUAP106.

2019 ◽  
Vol 13 (1) ◽  
pp. 86-93 ◽  
Author(s):  
Akshita Mehta ◽  
Roji Sharma ◽  
Reena Gupta

Background:Lipases have various commercial applications and microorganisms serve as a potential source of production.Objective:The aim of this paper was to study the effect of interactions among different production parameters on lipase yield ofAspergillus fumigatus.Method:Plackett Burman and Central Composite Design (CCD) were established by using Design Expert software 10.0.Results:In the present study, interactions were studied for six different variables such as inoculum size, pH, temperature, galactose concentration, peptone concentration and incubation time. In Plackett-Burman design, galactose concentration, peptone concentration, pH and incubation time were found to be important factors. Using the statistical approach, the optimum factors were found to be as: galactose concentration (1.5%), peptone concentration (1.8%), pH (10.0) and incubation time (72 h) at 45°C under response surface curves. Upon statistical analysis, the coefficient of determination (R2) obtained was 0.9318 which showed that the model was significant.Conclusion:The statistical tools used predicted the optimal conditions for the production of the lipase. The optimized parameters were galactose concentration 1.5%, peptone concentration 1.4%, temperature 45°C, pH 10.0 and incubation time of 72 h for obtaining a maximum lipase activity of 6.22 U/ml.


Molecules ◽  
2021 ◽  
Vol 26 (18) ◽  
pp. 5572
Author(s):  
Yu Du ◽  
Pengcheng Huang ◽  
Weifeng Jin ◽  
Chang Li ◽  
Jiehong Yang ◽  
...  

In this paper, the optimization of the extraction/purification process of multiple components was performed by the entropy weight method (EWM) combined with Plackett–Burman design (PBD) and central composite design (CCD). We took the macroporous resin purification of Astragalus saponins as an example to discuss the practicability of this method. Firstly, the weight of each component was given by EWM and the sum of the product between the componential content and its weight was defined as the comprehensive score, which was taken as the evaluation index. Then, the single factor method was adopted for determining the value range of each factor. PBD was applied for screening the significant factors. Important variables were further optimized by CCD to determine the optimal process parameters. After the combination of EWM, PBD and CCD, the resulting optimal purification conditions were as follows: pH value of 6.0, the extraction solvent concentration of 0.15 g/mL, and the ethanol volume fraction of 75%. Under the optimal conditions, the practical comprehensive score of recoveries of saponins was close to the predicted value (n = 3). Therefore, the present study provided a convenient and efficient method for extraction and purification optimization technology of multiple components from natural products.


2020 ◽  
Vol 12 (21) ◽  
pp. 8893
Author(s):  
Huanran Liu ◽  
Dan Zhang ◽  
Xia Zhang ◽  
Chuanzhi Zhou ◽  
Pei Zhou ◽  
...  

The strains capable of degrading cellulose have attracted much interest because of their applications in straw resource utilization in solid-state fermentation (SSF). However, achieving high spore production in SSF is rarely reported. The production of spores from Streptomyces griseorubens JSD-1 was investigated in shaker-flask cultivation in this study. The optimal carbon, organic nitrogen and inorganic nitrogen sources were sucrose, yeast extract and urea, respectively. Plackett–Burman design (PBD) was adopted to determine the key medium components, and the concentration levels of three components (urea, NaCl, MgSO4·7H2O) were optimized with the steepest ascent path and central composite design (CCD), achieving 1.72 × 109 CFU/g of spore production. Under the optimal conditions (urea 2.718% w/v, NaCl 0.0697% w/v, MgSO4·7H2O 0.06956% w/v), the practical value of spore production was 1.69 × 109 CFU/g. The determination coefficient (R2) was 0.9498, which ensures an adequate credibility of the model.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Polpass Arul Jose ◽  
Solomon Robinson David Jebakumar

The selection and optimization of nutritional constituents as well as their levels for the improved production of antibiotic byNonomuraeasp. JAJ18 were carried out using combination of both nonstatistical one-factor-at-a-time (OFAT) method and statistical response surface methodology (RSM). Using OFAT method, starch and (NH4)2SO4were identified as suitable carbon and nitrogen sources, respectively. Subsequently, starch, NaCl, and MgSO4·7H2O were recognized as the most significant media components with confidence level of above 95% using the Plackett-Burman design. The levels of the three media components were further optimized using RSM employed with Box-Behnken design. Accordingly, a second-order polynomial regression model was fitted into the experimental data. By analyzing the response surface plots as well as using numerical optimization method, the optimal levels for starch, NaCl, and MgSO4·7H2O were determined as 15.6 g/L, 0.8 g/L, and 1.98 g/L, respectively. With the optimized medium, 15.5% increase was observed in antibiotic activity of JAJ18. Results further support the use of RSM for media optimization. To the best of our knowledge, this is the first report of statistical media optimization for antibiotic production in rare actinomyceteNonomuraeaspecies, which will be useful for the development ofNonomuraeacultivation process for efficient antibiotic production on a large scale.


Author(s):  
Min Liu ◽  
Gabriel Potvin ◽  
Yiru Gan ◽  
Zhanbin Huang ◽  
Zisheng Zhang

Based on statistical designs, minimal salts medium, commonly used for yeast cultivation, was optimized to maximize GAP promoter-mediated phytase production by recombinant Pichia pastoris grown on glycerol. A Plackett-Burman design was followed to screen medium components to determine those that significantly affected phytase production. Of the 8 components studied, the concentrations of K2SO4, CaSO4•2H2O and MgSO4•7H2O were identified as having a significant effect. These three components were subsequently optimized by response surface methodology using a central composite design. The optimal concentrations of the three components, leading to a maximal extracellular phytase activity of 161.64 U/ml, were K2SO4 13.25g/l, CaSO4•2H2O 1.03g/l and MgSO4•7H2O 17.94g/l. The activity measured in cultures using optimized growth medium is significantly higher than the 73.31 U/ml measured in cultures using standard minimal salts media. The theoretical phytase yields predicted by the developed model were very close to experimentally obtained values.


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