scholarly journals Optimization of critical process parameters for amylase production by Bacillus sp. using statistical approach (RSM)

2017 ◽  
Vol 7 (3) ◽  
pp. 7 ◽  
Author(s):  
Rachna Singh ◽  
Deepak Chand Sharma ◽  
Mahendra Kumar Gupta

The aim of this work was to optimize the process parameters through the statistical approach for the production of alpha amylase by Bacillus sp. in submerged fermentation (SMF). Initially critical physical and chemical process parameters influencing the enzyme production were identified by Plackett-Burman method (eleven variables, seven nutritional, two physical and two dummies) were analyzed. Then optimum levels of most influencing parameters affecting amylase production were obtained by CCD and results were analyzed by standard analysis of variance (ANOVA). The effect of interaction of physiochemical parameters on the amylase production (z axis) was studied by plotting three dimensional response surface curves against any two independent variables. A high similarity was observed between the predicted and experimental results, which reflected the accuracy and applicability of RSM to optimize the process for enzyme production. As a result of RSM the optimum values for starch concentration -0.65%, (NH4)2SO4 -0.55% and pH- 8.33. As a result of media optimization, a titre of 1, 22,000 U/L-1 was achieved. A total of 2.4 fold increase in enzyme activity was observed.

2011 ◽  
Vol 236-238 ◽  
pp. 2323-2326 ◽  
Author(s):  
Jun Liang Sun ◽  
Xin Hong Liang ◽  
Jie Zeng ◽  
Guang Lei Li ◽  
Jun Liang Sun

The aim of this work was to optimize the process parameters through the statistical approach for the production of alpha amylase by Bacillus subtilis ZJF-1A5 in submerged fermentation (SMF). The process parameters influencing the enzyme production were identified by using response surface methodology. Among the variables screened, the temperature and time were most significant and showed a positive interaction. The optimum levels were: temperature 35.8 °C, pH 5.03 and time 54h and under these conditions α-amylase yield was up to 191.15 U/mL.


Author(s):  
J.N. Bandal ◽  
V.A. Tile ◽  
R. Z. Sayyed ◽  
H.P. Jadhav ◽  
N. I. Wan Azelee ◽  
...  

Using the above results from RMS analysis the optimum values were predicted for the independent significant variables (Figure 3) the optimized levels of these variables in combination with other media variables the maximum production was predicted to be 199.90 U/mL. The predicted data were validated through confirmatory experiments performed in triplicates. A 1.29-fold increase in amylase activity against un-optimized (OVAT) medium was achieved in the present study authenticating the efficacy of RSM in process optimization (Figure 4). 2.6 Model validation and scale-up at laboratory scale (5L) bioreactor Once the parameters were standardized in the shake-flasks culture, the experiment was scaled-up to a laboratory-scale bioreactor (5 L). The yield of amylase increased by 1.01 fold (205.69 U/mL), it could be possible because the enzyme production in a bioreactor is higher than in shake-flasks culture as the various critical variable factors such as the dissolved oxygen (DO) and the pH can be optimally controlled at the desired levels [22].


1996 ◽  
Vol 33 (4-5) ◽  
pp. 233-240 ◽  
Author(s):  
F. S. Goderya ◽  
M. F. Dahab ◽  
W. E. Woldt ◽  
I. Bogardi

A methodology for incorporation of spatial variability in modeling non-point source groundwater nitrate contamination is presented. The methodology combines geostatistical simulation and unsaturated zone modeling for estimating the amount of nitrate loading to groundwater. Three dimensional soil nitrogen variability and 2-dimensional crop yield variability are used in quantifying potential benefits of spatially distributed nitrogen input. This technique, in combination with physical and chemical measurements, is utilized as a means of illustrating how the spatial statistical properties of nitrate leaching can be obtained for different scenarios of fixed and variable rate nitrogen applications.


2019 ◽  
Vol 17 ◽  
Author(s):  
Farzane Kargar ◽  
Mojtaba Mortazavi ◽  
Mahmood Maleki ◽  
Masoud Torkzadeh Mahani ◽  
Younes Ghasemi ◽  
...  

Aims: The purpose of this study was to screen the bacteria producing cellulase enzymes and their bioinformatics studies. Background: Cellulose is a long-chain polymer of glucose that hydrolyzes by cellulases to glucose molecules. In order to design the new biotechnological applications, some strategies have been used as increasing the efficiency of enzyme production, generating cost-effective enzymes, producing stable enzymes and identification of new strains. Objective: On the other hand, some bacteria special features have made them suitable candidates for the identification of the new source of enzymes. In this regard, some native strains of bacteria were screened. Method: These bacteria were grown on a culture containing the liquid M9 media containing CMC to ensure the synthesis of cellulase. The formation of a clear area in the culture medium indicated decomposition of cellulose. In the following, the DNA of these bacteria were extracted and their 16S rDNA genes were amplified. Result: The results show that nine samples were able to synthesize cellulase. In following, these strains were identified using 16S rDNA. The results show that these screened bacteria belonged to the Bacillus sp., Alcaligenes sp., Alcaligenes sp., and Enterobacter sp.conclusionThe enzyme activity analysis shows that the Bacillus toyonensis, Bacillus sp. strain XA15-411 Bacillus cereus have produced the maximum yield of cellulases. However, these amounts of enzyme production in these samples are not proportional to their growth rate. As the bacterial growth chart within 4 consecutive days shows that the Alcaligenes sp. Bacillus cereus, Bacillus toyonensis, Bacillus sp. strain XA15-411 have a maximum growth rate. The study of the phylogenetic tree also shows that Bacillus species are more abundant in the production of cellulase enzyme. These bioinformatics analyses show that the Bacillus species have different evolutionary relationships and evolved in different evolutionary time. Other: However, for maximum cellulase production by this bacteria, some information as optimum temperature, optimum pH, carbon and nitrogen sources are needed for the ideal formulation of media composition. The cellulase production is closely controlled in microorganisms and the cellulase yields appear to depend on a variety of factors. However, the further studies are needed for cloning, purification and application of these new microbial cellulases in the different commercial fields as in food, detergent, and pharmaceutical, paper, textile industries and also various chemical industries. However, these novel enzymes can be further engineered through rational design or using random mutagenesis techniques.


2020 ◽  
Author(s):  
Maria Mendes ◽  
João Basso ◽  
João Sousa ◽  
Alberto Pais ◽  
Carla Vitorino

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1042
Author(s):  
Rafał Krupiński

The paper presents the opportunities to apply computer graphics in an object floodlighting design process and in an analysis of object illumination. The course of object floodlighting design has been defined based on a virtual three-dimensional geometric model. The problems related to carrying out the analysis of lighting, calculating the average illuminance, luminance levels and determining the illuminated object surface area are also described. These parameters are directly tied with the calculations of the Floodlighting Utilisation Factor, and therefore, with the energy efficiency of the design as well as the aspects of light pollution of the natural environment. The paper shows how high an impact of the geometric model of the object has on the accuracy of photometric calculations. Very often the model contains the components that should not be taken into account in the photometric calculations. The research on what influence the purity of the geometric mesh of the illuminated object has on the obtained results is presented. It shows that the errors can be significant, but it is possible to optimise the 3D object model appropriately in order to receive the precise results. For the example object presented in this paper, removing the planes that do not constitute its external surface has caused a two-fold increase in the average illuminance and average luminance. This is dangerous because a designer who wants to achieve a specific average luminance level in their design without optimizing the model will obtain the luminance values that will actually be much higher.


2001 ◽  
Vol 56 (11-12) ◽  
pp. 1022-1028 ◽  
Author(s):  
Kristina Uzunova ◽  
Anna Vassileva ◽  
Margarita Kambourova ◽  
Viara Ivanova ◽  
Dimitrina Spasova ◽  
...  

Abstract Enzyme production of newly isolated thermophilic inulin-degrading Bacillus sp. 11 strain was studied by batch cultivation in a fermentor. The achieved inulinase and invertase activi­ ties after a short growth time (4.25 h) were similar or higher compared to those reported for other mesophilic aerobic or anaerobic thermophilic bacterial producers and yeasts. The investigated enzyme belonged to the exo-type inulinases and splitted-off inulin, sucrose and raffinose. It could be used at temperatures above 65 °C and pH range 5.5-7.5. The obtained crude enzyme preparation possessed high thermostability. The residual inulinase and inver­ tase activities were 92-98% after pretreatment at 65 °C for 60 min in the presence of substrate inulin.


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