Optimization of Biocatalytic Production of Enantiopure (S)-1-(4-Methoxyphenyl) Ethanol with Lactobacillus senmaizuke Using the Box–Behnken Design-Based Model

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.

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

Revista de Chimie ◽

10.37358/rc.17.2.5447 ◽

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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Loteprednol Etabonate Nanoparticles: Optimization via Box-Behnken Design Response Surface Methodology and Physicochemical Characterization

Current Drug Delivery ◽

10.2174/1567201813666160801125235 ◽

2017 ◽

Vol 14 (5) ◽

Cited By ~ 3

Author(s):

Abhishek K. Sah ◽

Preeti K. Suresh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Physicochemical Characterization ◽

Loteprednol Etabonate ◽

Box Behnken Design

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Optimization and Quality by Design Approach for Piroxicam Fast Dissolving Tablet Formulations Using Box-Behnken Design

Current Drug Therapy ◽

10.2174/1574885514666190409102614 ◽

2020 ◽

Vol 15 (2) ◽

pp. 152-165

Author(s):

Harekrishna Roy ◽

Sisir Nandi ◽

Ungarala Pavani ◽

Uppuluri Lakshmi ◽

Tamma Saicharan Reddy ◽

...

Keyword(s):

Quality By Design ◽

Methyl Cellulose ◽

Statistical Technique ◽

Quadratic Model ◽

Contour Plot ◽

Compression Technique ◽

Disintegration Time ◽

Box Behnken Design ◽

The Impact ◽

The Relationship

Background: The present study deals with the formulation and optimization of piroxicam fast dissolving tablets and analyzes the impact of an independent variable while selecting the optimized formulation utilizing Quality by Design (QbD) and Box-Behnken Design (BBD). Methods: Seventeen formulations were prepared by direct compression technique by altering the proportion of cross carmellose sodium, spray dried lactose and hydro propyl methyl cellulose (HPMC K4M). The BBD statistical technique was used to optimize formulations and correlate the relationship among all the variables. Also, the powder mixture characteristics and tablet physiochemical properties such as hardness, friability, drug content, Disintegration Time (DT) and dissolution test were determined using 900 ml of 0.1N HCl (pH-1.2) at 37 ± 0.5°C. Results: Significant quadratic model and second order polynomial equations were established using BBD. To find out the relationship between variables and responses, 3D response surface and 2D contour plot was plotted. A perturbation graph was also plotted to identify the deviation of the variables from the mean point. An optimized formula was prepared based on the predicted response and the resulting responses were observed to be close with the predicted value. Conclusion: The optimized formulation with the desired parameter and formulation with variables and responses can be obtained by BBD and could be used in the large experiment with the involvement of a large number of variables and responses.

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