Statistical Investigation in Conjunction with a Box–Behnken Design for the Removal of Dyes Using Electrocoagulation

2022 ◽  
Vol 26 (2) ◽  
Author(s):  
Anupam Pathak ◽  
Vinita Khandegar ◽  
Arinjay Kumar
Keyword(s):  
Statistical Investigation ◽  
Box Behnken Design

Statistical Optimization of Esterification Reaction to Produce Biodiesel from the Mixture of PFAD and Palm Stearin Oil Using Two-Step Reaction

2012 ◽  
Vol 506 ◽  
pp. 98-101
Author(s):  
May Myat Khine ◽  
P. Srinophakun ◽  
A. Thanapimmetha ◽  
M. Saisriyoot
Keyword(s):  
Fatty Acid ◽  
Reaction Temperature ◽  
Palm Stearin ◽  
Statistical Investigation ◽  
Molar Ratio ◽  
Esterification Reaction ◽  
Box Behnken Design ◽  
Palm Fatty Acid Distillate ◽  
Level 3 ◽  
Ca 50

In this study, the optimization of esterification from the mixture of palm fatty acid distillate (PFAD) and palm stearin (PS) oil followed by transesterification reaction has been investigated. The free fatty acid (FFA) content of raw oil mixture was ca. 50%. Response surface methodology (RSM) and 3-level-3-factor Box-Behnken design were employed to predict the conversion of FFA as a function of reaction temperature, wt.% of catalyst (based on FFA in the mixture) and molar ratio of methanol to FFA. Experiments were performed under varied conditions with three fixed parameters; 3:1 molar ratio of methanol to triglycerides in oil mixture, 60 °C reaction temperature and 500 rpm stirring rate. From the statistical investigation, it was found that the molar ratio of methanol to FFA was the most important factor on reducing FFA content in esterification step.

OPTIMIZATION OF PHOSPHATE REMOVAL FROM SYNTHETIC WASTEWATER BY BACTERIAL CONSORTIUM USING BOX-BEHNKEN DESIGN

2013 ◽  
Vol 12 (12) ◽  
pp. 2371-2383
Author(s):  
Krishnaswamy Usharani ◽  
Perumalsamy Lakshmanaperumalsamy ◽  
Muthusamy Muthukumar
Keyword(s):  
Bacterial Consortium ◽  
Phosphate Removal ◽  
Synthetic Wastewater ◽  
Box Behnken Design

Multilayer Polymeric Nano composite Membrane for Oxygen Separation

2019 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Gobi Nallathambi ◽  
Hazel Dhinakaran
Keyword(s):  
Polymer Concentration ◽  
Sio2 Nanoparticles ◽  
Air Separation ◽  
Regression Equations ◽  
Permeate Flux ◽  
Nano Composite ◽  
Box Behnken Design ◽  
Oxygen Selectivity ◽  
Multilayer Membrane ◽  
Spun Fiber

Air separation is a process of separating primary components from the atmospheric air. Development of membrane technologies plays a key role in air separation. Multi-layer polymeric nanocomposite membranes have been developed by a novel technique using Polyacrylonitrile (PAN) and cellulose acetate (CA) along with nano silica particles (SiO2) to obtain a higher oxygen selectivity and permeability. For the construction of the multilayer membrane, the Box-Behnken design has been used by employing three independent variables namely PAN Electro spinning time, the SiO2 percentage in the PAN polymer and CA/PEG polymer concentration. The developed membranes have been characterized for its surface morphology and physical properties. Along with the analysis of compound desirability, the results were also subject to statistical analysis in order to form regression equations. The electro spun fiber diameter increases along with the concentration of SiO2 nanoparticles and the range is from 50 nm to 400 nm. Moreover, the maximum pore size on the surface of the membrane lies between 200 to 400 nm whereas the maximum percentage of oxygen purity obtained is 48 with the permeate flux of 5.45 cm3/cm2/min.

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.

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