Green Synthesis of Stannic Oxide Nanoparticles for Ciprofloxacin Degradation: Optimization and Modelling Using a Response Surface Methodology (RSM) Based on the Box–Behnken Design

2021 ◽  
Author(s):  
Archita Rani Dash ◽  
Aadit J. Lakhani ◽  
Duraipandi Devi Priya ◽  
T. V. Surendra ◽  
Md Maksudur Rahman Khan ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Green Synthesis ◽  
Response Surface ◽  
Stannic Oxide ◽  
Oxide Nanoparticles ◽  
Box Behnken Design

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.

Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

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.

Studies of kerf width and surface roughness using the response surface methodology in AA 4032–TiC composites

2021 ◽  
pp. 095440892110414
Author(s):  
TS Senthilkumar ◽  
R Muralikannan ◽  
T Ramkumar ◽  
S Senthil Kumar
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Metal Matrix ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Kerf Width ◽  
Wire Electrical Discharge Machining ◽  
Box Behnken Design ◽  
Pulse On Time

A substantially developed machining process, namely wire electrical discharge machining (WEDM), is used to machine complex shapes with high accuracy. This existent work investigates the optimization of the process parameters of wire electrical discharge machining, such as pulse on time ( Ton), peak current ( I), and gap voltage ( V), to analyze the output performance, such as kerf width and surface roughness, of AA 4032–TiC metal matrix composite using response surface methodology. The metal matrix composite was developed by handling the stir casting system. Response surface methodology is implemented through the Box–Behnken design to reduce experiments and design a mathematical model for the responses. The Box–Behnken design was conducted at a confident level of 99.5%, and a mathematical model was established for the responses, especially kerf width and surface roughness. Analysis of variance table was demarcated to check the cogency of the established model and determine the significant process. Surface roughness attains a maximum value at a high peak current value because high thermal energy was released, leading to poor surface finish. A validation test was directed between the predicted value and the actual value; however, the deviation is insignificant. Moreover, a confirmation test was handled for predicted and experimental values, and a minimal error was 2.3% and 2.12% for kerf width and surface roughness, respectively. Furthermore, the size of the crater, globules, microvoids, and microcracks were increased by amplifying the pulse on time.

Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball Bearings

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
M. S. Patil ◽  
Jose Mathew ◽  
P. K. Rajendrakumar ◽  
Sumit Karade
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Interaction Effect ◽  
Damage Identification ◽  
Experimental Studies ◽  
Design Procedure ◽  
Defect Size ◽  
Ball Bearings ◽  
Box Behnken Design ◽  
Outer Race

The presence of defect in the bearing (outer race, inner race, or ball) results in increased vibrations. Time domain indices such as rms, crest factor, and kurtosis are some of the important parameters used to monitor the condition of the bearing. Radial load and operating speed also have an important role in bearing vibrations. The interaction between the defect size, load, and speed helps to study their effect on vibrations more effectively. Response surface methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and the outputs of a physical system. But so far, the literature related to its application in bearing damage identification is scarce. The proposed study uses RSM to study the influence of defect size, load, and speed on the bearing vibrations. Kurtosis is used as response factor. Experiments are planned using Box Behnken design procedure. Experiments are performed using 6305 ball bearings and the results have been presented. MINITAB statistical software is used for analysis. It is seen from the analysis of the experimental results that the defect size, interaction effect of defect size and load, and interaction effect of defect size and speed are significant. Response surface method using Box Behnken design and analysis of variance has proved to be a successful technique to assess the significant factors related to bearing vibrations.

scholarly journals Optimization of ultrasonic-assisted extraction of inulin from Jerusalem artichoke

2019 ◽  
Vol 78 ◽  
pp. 02007
Author(s):  
Lina Yang ◽  
Hongyun Zhang ◽  
Jinghang Huang ◽  
Yafan Zhao ◽  
Danshi Zhu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Jerusalem Artichoke ◽  
Hot Water ◽  
Ultrasonic Power ◽  
Hot Water Extraction ◽  
Box Behnken Design ◽  
Assisted Extraction ◽  
Ultrasonic Assisted ◽  
Ultrasonic Assisted Extraction

An efficient ultrasonic-assisted extraction of inulin from Jerusalem artichoke was investigated by Response Surface Methodology (RSM). The results showed that the yield of ultrasonic-assisted extraction was 62.07 ± 0.39% over the microwave (40.85 ± 0.28%) and hot water extraction (27.42 ± 0.42%). The Box-Behnken Design (BBD) was used to optimize the effects of three parameters (temperature-X1, ultrasonic power-X2 and time-X3) on inulin yield. Analysis of variance showed that the contributions of X1, X3, X12, X13, X22 were significant. The optimal yield of inulin was 82.93 ± 1.03% at 82 °, 120 W and 18 min.

Optimization of myco-synthesized silver nanoparticles by response surface methodology employing Box-Behnken design

2019 ◽  
Vol 49 (2) ◽  
pp. 33-43 ◽  
Author(s):  
Hamed Barabadi ◽  
Soheila Honary ◽  
Pouneh Ebrahimi ◽  
Ahad Alizadeh ◽  
Farzaneh Naghibi ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Box Behnken Design
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