scholarly journals Enhancement of Aeribacillus pallidus lipase production through optimization of medium composition using Box behnken design and its application in detergents formulations

2019 ◽  
Author(s):  
Ameni KTATA ◽  
karray aida ◽  
Ines Mnif ◽  
Sofiane BEZZINE
Keyword(s):  
Waste Water ◽  
Response Surface Methodology ◽  
Oxygen Demand ◽  
Lipase Production ◽  
Maximum Activity ◽  
Medium Composition ◽  
P Value ◽  
Potential Candidate ◽  
Box Behnken Design ◽  
Optimized Conditions

Abstract Background : Alkaline, thermostable bacterial lipases are very interested at detergent applications, seen that they replace the use of synthetic detergents which cause substantial environmental problems. These enzymes based detergent are eco friendly and produce a waste water with low level of COD (Chemical Oxygen Demand). The present study, investigates a newly isolated Aeribacillus pallidus strain produces, without induction, a novel halophilous, thermo-alkaline and detergent- tolerant lipase. Results: Considerable interest has been given to this lipase by the improvement of its production by the optimization of the pH, the (C/N) ratio and the inoculums size, using the response surface methodology based on the Box-Behnken Design of experiments. A total of 16 experiments were conducted, and the optimized pH, (C/N) ratio and inoculums size were 10, 1 and 0.3 respectively. The results of the analysis of variance (ANOVA) test indicated that the established model was significant (p value < 0.05). Conclusions: A 6.68-fold of increase in enzyme activity was revealed under the optimized conditions with the maximum activity of 68 U/mL. Additionally, lipase of Aeribacillus pallidus is considered as a potential candidate for applications in detergent formulations since it displayed a good stability towards detergents and wash performance.

scholarly journals Enhancement of Aeribacillus pallidus lipase production through optimization of medium composition using Box behnken design and its application in detergents formulations

2019 ◽  
Author(s):  
Ameni KTATA ◽  
karray aida ◽  
Ines Mnif ◽  
Sofiane BEZZINE
Keyword(s):  
Waste Water ◽  
Response Surface Methodology ◽  
Enzyme Activity ◽  
Lipase Production ◽  
Maximum Activity ◽  
Medium Composition ◽  
P Value ◽  
Potential Candidate ◽  
Box Behnken Design ◽  
Optimized Conditions

Abstract Background Alkaline, thermostable bacterial lipases are very interested at detergent applications, seen that they replace the use of synthetic detergents which cause substantial environmental problems. These enzymes based detergent are eco friendly and produce a waste water with low level of COD. The present study, investigates a newly isolated Aeribacillus pallidus strain produces, without induction, a novel halophilous, thermo-alkaline and detergent- tolerant lipase. Results Considerable interest has been given to this lipase by the improvement of its production by the optimization of the pH, the (C/N) ratio and the inoculums size, using the response surface methodology based on the Box-Behnken Design of experiments. A total of 16 experiments were conducted, and the optimized pH, (C/N) ratio and inoculums size were 10, 1 and 0,3 respectively. The results of the analysis of variance (ANOVA) test indicated that the established model was significant (p value < 0.05). Conclusions A 6,68-fold of increase in enzyme activity was revealed under the optimized conditions with the maximum activity of 68 U/ml. Additionally, lipase of Aeribacillus pallidus is considered as a potential candidate for applications in detergent formulations since it displayed a good stability towards detergents and wash performance.

scholarly journals Enhancement of Aeribacillus pallidus lipase production through optimization of medium composition using Box behnken design and its application in detergents formulations

2019 ◽  
Author(s):  
Ameni KTATA ◽  
karray aida ◽  
Ines Mnif ◽  
adel Sayari ◽  
Sofiane BEZZINE
Keyword(s):  
Waste Water ◽  
Response Surface Methodology ◽  
Catalytic Activity ◽  
Oxygen Demand ◽  
Lipase Production ◽  
Medium Composition ◽  
P Value ◽  
Potential Candidate ◽  
Box Behnken Design ◽  
Production Conditions

Abstract Background : Alkaline, thermostable bacterial lipases are largely used in detergent applications, since they substitute the use of synthetic detergents which are known to cause substantial environmental problems. These enzymes based detergent are eco friendly and produce a waste water with low level of COD (Chemical Oxygen Demand). In the present study, we investigated a newly isolated Aeribacillus pallidus strain produces, without induction, a novel halophilous, thermo-alkaline and detergent- tolerant lipase. Results: Considerable interest has been given to this lipase by the improvement of its catalytic activity through the optimization of the pH, the (C/N) ratio and the inoculums size, using the response surface methodology based on the Box-Behnken Design of experiments. A total of 16 experiments were conducted, and the optimized pH, (C/N) ratio and inoculums size were 10, 1 and 0.3 respectively. The results of the analysis of variance (ANOVA) test indicated that the established model was significant (p value < 0.05). Conclusions: The optimization of the production conditions leads to 6.68-fold of increase in the catalytic activity with a maximum of 68 U/mL. All in all, the lipase of Aeribacillus pallidus could be considered as a potential candidate to be incorporated in detergent formulations since it shows a good stability towards detergents and wash performance.

scholarly journals Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network

2021 ◽  
Vol 14 ◽  
pp. 117862212110281
Author(s):  
Ahmed S. Mahmoud ◽  
Nouran Y. Mohamed ◽  
Mohamed K. Mostafa ◽  
Mohamed S. Mahmoud
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Tannery Wastewater ◽  
P Value ◽  
Cu Nanoparticles ◽  
Artificial Neural ◽  
Cr Removal

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for chrome removal. In the beginning, the Fe/Cu NPs was equilibrated by pure aqueous chrome solution at different operating conditions (lab scale), then the nanomaterial was applied in semi full scale. The operating conditions indicated that Fe/Cu NPs was able to adsorb 68% and 33% of Cr for initial concentrations of 1 and 9 mg/L, respectively. The removal occurred at pH 3 using 0.6 g/L Fe/Cu dose, stirring rate 200 r/min, contact time 20 min, and constant temperature 20 ± 2ºC. Adsorption isotherm proved that the Khan model is the most appropriate model for Cr removal using Fe/Cu NPs with the minimum error sum of 0.199. According to khan, the maximum uptakes was 20.5 mg/g Cr. Kinetic results proved that Pseudo Second Order mechanism with the least possible error of 0.098 indicated that the adsorption mechanism is chemisorption. Response surface methodology (RSM) equation was developed with a significant p-value = 0 to label the relations between Cr removal and different experimental parameters. Artificial neural networks (ANNs) were performed with a structure of 5-4-1 and the achieved results indicated that the effect of the dose is the most dominated variable for Cr removal. Application of Fe/Cu NPs in real tannery wastewater showed its ability to degrade and disinfect organic and biological contaminants in addition to chrome adsorption. The reduction in chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), Cr, hydrogen sulfide (H2S), and oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, and 29.4%, respectively.

scholarly journals Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Praveen Kumar Siddalingappa Virupakshappa ◽  
Manjunatha Bukkambudhi Krishnaswamy ◽  
Gaurav Mishra ◽  
Mohammed Ameenuddin Mehkri
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oxygen Demand ◽  
Inoculum Size ◽  
Coefficient Of Determination ◽  
Oil Removal ◽  
Box Behnken Design ◽  
Stenotrophomonas Rhizophila ◽  
Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and   % removal of crude oil.

scholarly journals Statistical Optimization of Parameters for the Enhancement of Lipase Activity

2020 ◽  
Author(s):  
Prama Das ◽  
Soham Chattopadhyay
Keyword(s):  
Response Surface Methodology ◽  
Olive Oil ◽  
Specific Activity ◽  
Lipase Production ◽  
Maximum Activity ◽  
Statistical Optimization ◽  
Production Medium ◽  
Optimization Of Parameters ◽  
High Enzyme ◽  
High Enzyme Activity

Abstract In this present study, lipase producing bacteria were isolated and screened from an indigenous soil sample and was used for lipase production with high enzyme activity. Different production media were screened and lipase production was found to be induced by olive oil, 14 mL/L, in the production medium. It was observed from Luedeking and Piret model that the lipase production was mixed growth associated with its maximum activity at 37 °C and pH 7. To understand the interaction of different parameters, statistical optimization using Response Surface Methodology was performed and the standardized conditions obtained were as follows: Peptone 10 g/L, yeast extract 7.5 g/L and olive oil 14 mL/L. The predicted data were validated and the model predicted was significant with maximum specific activity of 1.1 µmole/min/mg proteins. The lipase specific activity was found to be enhanced by 10% and 23% after a single parameter and statistical optimization respectively.

Optimization of photo-Fenton process of RO concentrated coking wastewater using response surface methodology

2012 ◽  
Vol 66 (4) ◽  
pp. 816-823 ◽  
Author(s):  
Zhang Huiqing ◽  
Ye Chunsong ◽  
Zhang Xian ◽  
Yang Fan ◽  
Yang Jun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ph Value ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Coking Wastewater ◽  
Fenton Process ◽  
Predicted Values ◽  
Optimized Conditions

The objective of this study was aimed at investigating the removal of chemical oxygen demand (COD) from reverse osmosis (RO) concentrated coking wastewater by the photo-Fenton process. The optimum extraction conditions for the photo-Fenton process by Box–Behnken design (BBD) and response surface methodology (RSM) to establish a predictive polynomial quadratic model were discussed based on a single factor test. Optimized parameters validated by the analysis of variances (ANOVA) were found to be H2O2 concentration of 345.2 mg/L, pH value of 4.1 and reaction time of 103.5 minutes under ultraviolet irradiation. The experimental results of the COD removal under the optimized conditions presented better agreement with the predicted values with deviation error of 3.2%. The results confirmed that RSM based on BBD was a suitable method to optimize the operating conditions of RO concentrated coking wastewater.

scholarly journals Aplikasi Metode Advance Oxidation Process (AOP) Fenton pada Pengolahan Limbah Cair Pabrik Kelapa Sawit

2016 ◽  
Vol 11 (1) ◽  
pp. 1 ◽  
Author(s):  
Ruka Yulia ◽  
Hesti Meilina ◽  
Adisalamun Adisalamun ◽  
Darmadi Darmadi
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Oxidation Process ◽  
Oxygen Demand ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Box Behnken Design ◽  
Advance Oxidation Process

Penelitian ini bertujuan untuk mengetahui kemampuan proses Fenton dalam menurunkan kadar chemical oxygen demand (COD) dan kadar total suspended solid (TSS) dari limbah cair pabrik kelapa sawit (PKS) dan menentukan kondisi optimum dari parameter yang digunakan dengan Response Surface Methodology menurut Box- Behnken design. Sampel diambil pada keluaran pertama kolam anaerobik ketiga dari instalasi pengolahan limbah cair kelapa sawit yang mengandung nilai COD berkisar antara 8.000 hingga 12.000 ppm. Pada penelitian ini, dilakukan pengujian pada berbagai pH, konsentrasi FeSO4.7H2O dan konsentrasi hidrogen peroksida. Hasil  penelitian menunjukkan bahwa kemampuan proses AOP dengan metode Fenton dapat menurunkan konsentrasi COD dan TSS masing-masing adalah 70,7704% dan 88,3897% pada konsentrasi FeSO4.7H2O 3703,52 ppm, konsentrasi H2O2 5586,43 ppm, dan pH 3.

Process Improvisation Strategies for the Enhancement of Lipase Activity

2021 ◽  
Vol 16 (7) ◽  
pp. 114-121
Author(s):  
Prama Das ◽  
Soham Chattopadhyay
Keyword(s):  
Response Surface Methodology ◽  
Enzyme Activity ◽  
Olive Oil ◽  
Specific Activity ◽  
Lipase Production ◽  
Maximum Activity ◽  
Statistical Optimization ◽  
Production Medium ◽  
High Enzyme ◽  
High Enzyme Activity

In this present study, lipase-producing bacteria were isolated and screened from an indigenous soil sample and were used for lipase production with high enzyme activity. In the production medium, different production media were screened and lipase production was induced by olive oil, 14 mL/L. It was observed from Luedeking and Piret model that the lipase production was mixed growth associated with maximum activity at 37°C and at pH 7. Statistical optimization using Response Surface Methodology was performed to understand the interaction of different parameters and the standardized conditions obtained were as follows: Peptone 10 g/L, yeast extract 7.5 g/L and olive oil 14 mL/L. The predicted data were validated and the model predicted was significant with a maximum specific activity of 1.1 µmole/min/mg proteins. The lipasespecific activity was enhanced by 10% and 23% after a single parameter and statistical optimization.

scholarly journals Statistical Optimization of Copper Oxide Nanoparticles Using Response Surface Methodology and Box–Behnken Design Towards In Vitro and In Vivo Toxicity Assessment

2020 ◽  
Vol 11 (3) ◽  
pp. 10027-10039
Keyword(s):  
Response Surface Methodology ◽  
Copper Oxide ◽  
Response Surface ◽  
Copper Oxide Nanoparticles ◽  
Toxicity Assessment ◽  
P Value ◽  
Oxide Nanoparticles ◽  
Box Behnken Design

The current study focusses on the optimization of Copper oxide nanoparticles (CuO NPs) biosynthesis with Alternanthera sessilis (L.) extract using response surface methodology (RSM). The effect of time, pH, and extract to metal concentration ratio on the yield of synthesized nanoparticles (NPs) were estimated using Box–Behnken design. The influence of each of the parameters, as mentioned earlier, was determined by synthesizing nanoparticles under different conditions. A total of 29 experimental runs were carried out to estimate the crucial parameters. Extract to the metal ratio was found to be the vital parameter for yield optimization based on the p-values (p-value < 0.05). The physicochemical property of NPs, like size, was estimated to be in the range of 10-20 nm. In zebrafish, 48 hpf and 72 hpf were measured at 90 µM to reduce dysfunction and mortality during organ development. These results can have a valuable impact on eco-toxicological effects.

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