Enhancement of Hydrogen Production from Sugarcane Bagasse by Klebsiella pneumoniae subsp. pneumonia DSM 30104(T) Using Statistical Methods

2017 ◽  
Vol 757 ◽  
pp. 146-150
Author(s):  
Piyawadee Saraphirom ◽  
Mullika Teerakul ◽  
Manit Anyabho

This study employed statistically based experimental designs to optimize environmental factors for H2 production from sugarcane bagasse hydrolysate by K. pneumoniae subsp. Pneumonia DSM 30104(T) isolated from wastewater sludge using statistical method. The 12 runs of Plackett-Burman design were used to classify important factors influencing the H2 production from sugarcane bagasse hydrolysate by K. pneumonia subsp. pneumonia DSM 30104(T). Mutual interaction between the significant factor and their optimal values that brought the maximum H2 production (mL H2/L) were further investigated using Box-Behnken design of response surface method. Experimental results indicated that yeast extract, ammonium chloride, potassium chloride, calcium chloride, iron (II) sulfate and total sugar of sugarcane bagasse had an interdependent effect on the maximum H2 production while only interaction effect between yeast extract and calcium chloride had statistically significant (P≤0.05) influences on the maximum H2 production. Optimal conditions for the predicted maximal H2 production were 7.50 g/L yeast extract, 0.50 g/L ammonium chloride, 15.0 g/L potassium chloride, 0.75 g/L calcium chloride, and 10.0 g/L total sugar. At the optimal condition, the maximum H2 production of 277 mL H2/L was estimated from Box-Behnken design that more than 9 times compared to Plackett-Burman design. The highest ratio of butyric acid to acetic acid (B/A ratio) of 1.47 was indicated the high performance of H2 fermentation of sugarcane bagasse hydrolysate by K. pneumoniae subsp. Pneumonia DSM 30104(T) under the optimal condition obtained.

INDIAN DRUGS ◽  
2015 ◽  
Vol 52 (06) ◽  
pp. 24-32
Author(s):  
N Kasinathan ◽  
◽  
V. M. Subrahmanyam ◽  
V. R Josyula

Chondroitinases are useful in treating cancer and spinal cord injuries. The work reported so far does not focus on production of fungal chondroitinase. The present study focuses on the optimization of cultural conditions using design of experiments for production of chondroitinase by a fungal isolate CHCS-2, obtained from humus containing poultry waste. The cultural conditions were optimized systematically using a one-factor-at-a-time (OFAT) approach, factorial design, Plackett-Burman design (PBD) and Box- Behnken design to identify the composition of the production medium and the level of the variables. The level of significance of the medium components selected by OFAT study viz., yeast extract, chondroitin, and phosphate, was analyzed by factorial studies. The effect of eleven minerals on the enzyme yield was studied by PBD. The interaction among the medium components selected using factorial and PBD viz., yeast extract, cobalt and aluminum was investigated using the Box-Behnken design (BBD). Under the optimized conditions, maximum chondroitinase yield was 22.5 U/mL.


2020 ◽  
Author(s):  
Noura El-Ahmady El-Naggar ◽  
Nancy M. El-Shweihy

Abstract Background: Cholesterol oxidase biosensors have been used to determine the level of cholesterol in different serum and food samples. Due to a wide range of industrial and clinical applications of microbial cholesterol oxidase, isolation and identification of a new microbial source (s) of cholesterol oxidase are very important. Results: The local isolate Streptomyces sp. strain NEAE-94 is a promising source of cholesterol oxidase. It was identified based on cultural, morphological and physiological characteristics; in addition to the 16S rRNA sequence. The sequencing product had been deposited in the GenBank database under the accession number KC354803. Cholesterol oxidase production by Streptomyces anulatus strain NEAE-94 in shake flasks was optimized using surface response methodology. The different process parameters were first screened using a Plackett-Burman design and the parameters with significant effects on the production of cholesterol oxidase were identified. Out of the fifteen factors screened, agitation speed, cholesterol and yeast extract concentrations had the most significant positive effects on the production of cholesterol oxidase. The optimal levels of these variables and the effects of their mutual interactions on cholesterol oxidase production were determined using Box-Behnken design. Cholesterol oxidase production by Streptomyces anulatus strain NEAE-94 was 11.03, 27.31 U/mL after Plackett-Burman Design and Box-Behnken design; respectively, with a fold of increase of 6.06 times compared to the production before applying the Plackett-Burman design (4.51 U/mL). Conclusions: Maximum cholesterol oxidase activity is obtained at the following fermentation conditions: g/L (cholesterol 4, yeast extract 5, NaCl 0.5, K 2 HPO 4 1, FeSO 4 .7H 2 O 0.01, MgSO 4 .7H 2 O 0.5), pH 7, inoculum size 4 % (v/v), temperature 37°C, agitation speed 150 rpm, medium volume 50 mL and incubation time 5 days.


2020 ◽  
Author(s):  
Noura El-Ahmady El-Naggar ◽  
Nancy M. El-Shweihy

Abstract Background: Cholesterol oxidase biosensors have been used to determine the level of cholesterol in different serum and food samples. Due to a wide range of industrial and clinical applications of microbial cholesterol oxidase, isolation and identification of a new microbial source (s) of cholesterol oxidase are very important. Results: The local isolate Streptomyces sp. strain NEAE-94 is a promising source of cholesterol oxidase. It was identified based on cultural, morphological and physiological characteristics; in addition to the 16S rRNA sequence. The sequencing product had been deposited in the GenBank database under the accession number KC354803. Cholesterol oxidase production by Streptomyces anulatus strain NEAE-94 in shake flasks was optimized using surface response methodology. The different process parameters were first screened using a Plackett-Burman design and the parameters with significant effects on the production of cholesterol oxidase were identified. Out of the fifteen factors screened, agitation speed, cholesterol and yeast extract concentrations had the most significant positive effects on the production of cholesterol oxidase. The optimal levels of these variables and the effects of their mutual interactions on cholesterol oxidase production were determined using Box-Behnken design. Cholesterol oxidase production by Streptomyces anulatus strain NEAE-94 was 11.03, 27.31 U/mL after Plackett-Burman Design and Box-Behnken design; respectively, with a fold of increase of 6.06 times compared to the production before applying the Plackett-Burman design (4.51 U/mL). Conclusions: Maximum cholesterol oxidase activity is obtained at the following fermentation conditions: g/L (cholesterol 4, yeast extract 5, NaCl 0.5, K 2 HPO 4 1, FeSO 4 .7H 2 O 0.01, MgSO 4 .7H 2 O 0.5), pH 7, inoculum size 4 % (v/v), temperature 37°C, agitation speed 150 rpm, medium volume 50 mL and incubation time 5 days.


2014 ◽  
Vol 522-524 ◽  
pp. 295-298
Author(s):  
Kai Wang ◽  
Pei Sheng Yan ◽  
Li Xin Cao

Aflatoxins (AFs) are a series of highly toxic and carcinogenic secondary metabolites. In order to eliminate AFs contamination, biological control is one of the more promising techniques. In this study, we describe the optimization of media nutrients for the selected biocontrol bacterium, Lysinibacillus xylanilyticus strain BPM1. The strain was isolated from the peanut hulls in Shandong Province, China and exhibited antagonistic activity against aflatoxins. Maltose and sucrose were identified as best carbon source, while soya peptone and yeast extract as nitrogen source led to the highest OD600 observations. Medium composition was optimized using Plackett-Burman design, which was applied to find the key ingredients. The results revealed that the most significant two factors which were more effective in the fermentation of L. xylanilyticus BPM1 were soya peptone and yeast extract.


2009 ◽  
Vol 27 (No. 5) ◽  
pp. 352-360 ◽  
Author(s):  
B.P. Panda ◽  
S. Javed ◽  
M. Ali

Angkak (red mold rice, red yeast rice, Chinese red rice), a traditional Chinese functional food is produced by solid-state fermentation of cooked non-glutinous rice with <i>Monascus</i> species. The secondary metabolite of <i>Monascus</i> species, monacolin K (lovastatin), has been proved to lower blood lipid levels. In this study, the best <i>Monascus purpureus</i> strain was selected from MTCC 369, 410, 1090 based on lovastatin concentration. Four medium parameters (NH<sub>4</sub>Cl, MgSO<sub>4</sub>, NaCl, CaCl<sub>2</sub>) screened by Plackett-Burman design from total nine medium variables were optimised by Box-Behnken design of response surface methodology. Maximum lovastatin production of 3.420 mg/g was predicted in the solid medium containing 20 g rice and 40 ml liquid nutrient (NH<sub>4</sub>Cl 14.32 g/l, MgSO<sub>4</sub> 0.76 g/l, NaCl 14.65 g/l, and CaCl<sub>2</sub> 0.54 g/l) by the point prediction tool of Design Expert Ver. 7.1 software at 14<sup>th</sup> day of fermentation.


2011 ◽  
Vol 138-139 ◽  
pp. 1209-1214
Author(s):  
Xiao Yu Liu ◽  
Fan Xing Meng ◽  
Yi Bo Zhang ◽  
Huan He ◽  
Wei Han ◽  
...  

Response surface methodology (RSM) was used for statistical optimization of fermentation medium that influenced the yield of endo-polysaccharide from cultivated mycelia of Cordyceps militaris. First, the Plackett-Burman design was used to evaluate the effects of ten variables including glucose, maltose, peptone, yeast extract, KH2PO4, MgSO4, CaCl2, VB1, inoculum density and medium capacity. Among these variables, glucose, peptone and yeast extract were identified to have the significant effects. Subsequently, response surface methodology based on a five-level three-factor central composite design was employed to determine the maximum dry weight (DW) of mycelial biomass at optimum concentration of glucose, peptone and yeast extract. The mycelia growth was found to correlate to the three parameters that could be represented by second-order polynomial models. The optimal values of the three parameters were determined as 4.62% glucose, 3.36% peptone and 0.43% yeast extract. The prediction DW was 23.727g/L. The actual experimental results were in agreement with the prediction.


Molecules ◽  
2020 ◽  
Vol 25 (20) ◽  
pp. 4784 ◽  
Author(s):  
Nucharee Juntarachot ◽  
Duangporn Kantachote ◽  
Sartjin Peerajan ◽  
Sasithorn Sirilun ◽  
Chaiyavat Chaiyasut

Dextranase catalyzes the degradation of the substrate dextran, which is a component of plaque biofilm. This enzyme is involved in antiplaque accumulation, which can prevent dental caries. The activity of crude dextranase from Penicillium roquefortii TISTR 3511 was assessed, and the maximum value (7.61 unit/g) was obtained at 37 °C and pH 6. The Plackett–Burman design was used to obtain significant factors for enhancing fungal dextranase production, and three influencing factors were found: Dextran, yeast extract concentration and inoculum age. Subsequently, the significant factors were optimized with the Box–Behnken design, and the most suitable condition for dextranase activity at 30.24 unit/g was achieved with 80 g/L dextran, 30 g/L yeast extract and five day- old inoculum. The use of 0.85% alginate beads for encapsulation exhibited maximum dextranase activity at 25.18 unit/g beads, and this activity was stable in toothpaste for three months of testing. This study explored the potential production of fungal dextranase under optimal conditions and its encapsulation using alginate for the possibility of applying encapsulated dextranase as an additive in toothpaste products for preventing dental caries.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Shengyue Ji ◽  
Weili Li ◽  
Haiyun Xin ◽  
Shan Wang ◽  
Binyun Cao

Sublancin 168, as a distinct S-linked antimicrobial glycopeptide produced byBacillus subtilis168, is effective in killing specific microorganisms. However, the reported yield of sublancin 168 is at a low level of no more than 60 mg from 1 L fermentation culture ofB. subtilis168 by using the method in the literature. Thus optimization of fermentation condition for efficiently producing sublancin 168 is required. Here, Box-Behnken design was used to determine the optimal combination of three fermentation parameters, namely, corn powder, soybean meal, and temperature that were identified previously by Plackett-Burman design and the steepest ascent experiment. Subsequently, based on the response surface methodology, the quadratic regression model for optimally producing sublancin 168 was developed, and the optimal combination of culture parameters for maximum sublancin 168 production of 129.72 mg/L was determined as corn powder 28.49 g/L, soybean meal 22.99 g/L, and incubation temperature 30.8°C. The results showed that sublancin 168 production obtained experimentally was coincident with predicted value of 125.88 mg/L, and the developed model was proved to be adequate, and the aim of efficiently producing sublancin 168 was achieved.


Author(s):  
Durga Rebbapragada ◽  
Rajagopal Kalyanaraman

Objective: To enhance the antioxidant potential of Xylaria feejeensis by statistical optimization. The components of potato dextrose yeast extract (PDYEB) medium: potato infusion, dextrose and yeast extract were investigated to optimize antioxidant activity by Plackett-Burman design (P-B design). The interaction between the critical components of the medium and incubation time was further investigated by Response Surface Method (RSM) and the culture conditions were optimized for enhancing antioxidant activity. Central composite design (CCD) was employed and quadratic response surface model was used to analyze the data using analysis of variance (ANOVA).Methods: The antioxidant potential was measured by 1-1diphenyl-2-picryl-hydrazil (DPPH) radical scavenging assay, nitric oxide (NO) scavenging assay. The antioxidant activity was compared with total phenolic content measured by Folin-Ciocalteau (FC) reagent based assay.Results: Plackett-Burman design revealed dextrose and yeast extract to be the most significant components of PDYEB medium (p<.0001). ANOVA analysis showed that the model was highly significant (p<0.0001) for antioxidant activity measured by DPPH, NO scavenging and TPC (total phenolic content). The model was justified by applying the optimized conditions and values of 87.38%, 56.43%, 27.28 mg/g for DPPH, NO scavenging and TPC respectively were obtained. The estimated optimum conditions of the variables for the antioxidant activity and phenolic content are 12.72g of dextrose, 1.67g yeast extract, and incubation period of 23.43 d.Conclusion: The study highlights the importance of various components of the medium and the physiochemical limitations in antioxidant potential and phenol production of the fungal strain. 


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