Optimization of etodolac loaded emulsomes by box-behnken design of experiment

2020 ◽  
Vol 12 (04) ◽  
Keyword(s):  
Design Of Experiment ◽  
Box Behnken Design

Single Point Incremental Forming Limits Using a Boxbehnken Design of Experiment

2007 ◽  
Vol 344 ◽  
pp. 629-636 ◽  
Author(s):  
M. Ham ◽  
J. Jeswiet
Keyword(s):  
Design Of Experiment ◽  
Incremental Forming ◽  
Single Point ◽  
Response Surfaces ◽  
Single Point Incremental Forming ◽  
Step Size ◽  
Forming Limits ◽  
Box Behnken Design ◽  
Five Factors ◽  
Incremental Step

Single Point Incremental Forming (SPIF) is a new method of forming sheet metal for which not all forming limits and forming parameters are yet completely understood. In this paper, a Box-Behnken design of experiment (DOE) is used to execute an experimental study used to determine the forming limits in Single Point Incremental Forming (SPIF). The Box-Behnken allows for good accuracy in defining a surface response for a relatively low number of experimental runs – hence its usefulness in experimental work. The Box-Behnken used in this paper solved five factors at three levels in forty six runs. The five factors analyzed are based on the most critical factors effecting SPIF; they are material type, material thickness, formed shape, tool size and incremental step size (depth of each step in form). The data resulting from the Box-Behnken progressed into graphical response surfaces; the response surfaces allow designers to determine what factors they need to select in order to successfully form a part using SPIF.

scholarly journals Optimization of Lipid Extraction from Municipal Scum Sludge for Biodiesel Production Using Statistical Approach

2017 ◽  
Vol 6 (2) ◽  
pp. 171 ◽  
Author(s):  
Samir Hag Ibrahim ◽  
Emad Hamza
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Design Of Experiment ◽  
Statistical Approach ◽  
Lipid Extraction ◽  
Biodiesel Production ◽  
Box Behnken Design ◽  
Steepest Ascent ◽  
Screening Design ◽  
Surface Method

Design of Experiment (DoE) as a statistical method was applied for optimizing lipid extraction conditions from scum sludge. Four different extraction variables were optimized namely methanol to hexane ratio (%), solvent to sludge ratio (ml/g), temperature (oC), and extraction time (h). Process optimization was conducted through three main steps: 1) 2k factorial screening design; 2) Steepest ascent method; and 3) Box-Behnken design and response surface method. Based on 2k factorial screening design, methanol to hexane ratio, solvent to sludge ratio and temperature were identified as highly significant variables affecting lipid extraction from scum sludge. Based on screening results, the steepest ascent method was used followed by Box-Behnken design and Response Surface Method (RSM) were then applied for optimization. The maximum extracted lipid of 29.4% (wt lipid/wt dry sludge- %) was achieved at 40% methanol to hexane ratio (%), 40 solvent to sludge ratio (ml/g), 90oC and 6 hours extraction time. The results revealed that lipid extraction increases with reducing the methanol to hexane ratio, increasing solvent to sludge ratio and increasing temperature The results demonstrated the potentiality of scum sludge for biodiesel production from scum sludge compared with the amount of lipid extracted from primary and secondary sludge reported by other studies. Keywords: Box-Behnken design, Design of Experiment (DoE), lipid extraction, Scum sludge, response surface method (RSM). Article History: Received Feb 16th 2017; Received in revised form May 5th 2017; Accepted June 4th 2017; Available onlineHow to Cite This Article: Ibrahim, S.N.H, and Hamza, E.A. (2017). Optimization of Lipid Extraction from Municipal Scum Sludge for Biodiesel Production Using Statistical Approach. International Journal of Renewable Energy Development, 6(2), 171-179.https://doi.org/10.14710/ijred.6.2.171-179

scholarly journals Saccharification Kinetics at Optimised Conditions of Tapioca by Glucoamylase Immobilised on Mesostructured Cellular Foam Silica

2018 ◽  
pp. 311
Author(s):  
J. Agustian ◽  
L. Hermida
Keyword(s):  
Design Of Experiment ◽  
Active Sites ◽  
Large Scale ◽  
Chemical Compounds ◽  
Quadratic Polynomial ◽  
Experimental Results ◽  
Kinetic Constants ◽  
Box Behnken Design ◽  
Dextrose Equivalent ◽  
Good Agreement

As insoluble substrates such as tapioca can be used to make chemical compounds, saccharification of tapioca by glucoamylase immobilised on mesostructured cellular foam (MCF) silica using Box-Behnken Design of experiment was conducted to optimize this process so that the experimental results can be used to develop large-scale operations. The experiments gave dextrose equivalent (DE) values of 6.15–69.50% (w/w). Factors of pH and temperature affected the process highly. The suggested quadratic polynomial model is significant and considered acceptable (R2 = 99.78%). Justification of the model confirms its validity and adequacy where the predicted DE shows a good agreement with the experimental results. The kinetic constants (Vmax, KM) produced by the immobilised enzyme differed highly from the values yielded by free glucoamylase indicating reduction of substrate access to enzyme active sites had occurred.

scholarly journals DESIGN AND OPTIMIZATION OF DOXORUBICIN HCL PRONIOSOMES BY-DESIGN OF EXPERIMENT

2019 ◽  
pp. 90-95
Author(s):  
SRIKANTH ◽  
ANAND KUMAR Y. ◽  
MALLIKARJUNA SETTY C.
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Design Of Experiment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Tween 20 ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Dependent Variables

Objective: The present research work was designed to formulate and optimize doxorubicin HCl proniosomes by design of experiment (DoE). Methods: A 4-factor, 3-level Box-Behnken design was used to explain multiple linear regression analysis and contour 3D plot responses. The independent variables selected were tween 20, cholesterol, hydration volume and sonication time; dependent variables percentage entrapment efficiency (PEE), mean vesicle size (MVS). Based on the Box-Behnken design 29 trial runs were studied and optimized for PEE and MVS. Further "Model F-Value" was calculated to confirm the omission of insignificant terms from the full-model equation to derive a multiple linear regression analysis to predict the PEE and MVS of niosomes derived from proniosomes. 3D plots were constructed to show the influence of independent variables on dependent variables. Results: PEE of doxorubicin HCl proniosomes was found to be in the range of 40.21-87.5%. The polynomial equation for PEE exhibited a good correlation coefficient (0.5524) and the "Model F-Value" of 7.41 implies the model is significant. P-values less than 0.0500 indicate model terms are significant. The MVS of doxorubicin HCl proniosomes was found to be in the range of 325.2 nm to 420.25 nm. The mathematical model generated for MVS (R2) was found to be significant with model F-value of 54.22. There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise (P<0.0500) and R2 value of 0.9004. Conclusion: The DoE of Box-Behnken design demonstrated the role of the derived equation, 3D plot in predicting the values of dependent variables for the preparation and optimization of doxorubicin HCl proniosomes. The results suggest that doxorubicin HCl proniosomes can act as a promising carrier.

scholarly journals Development of Nonlinear Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment: A Case Study for Turkey

2020 ◽  
Vol 12 (15) ◽  
pp. 6017
Author(s):  
Yasemin Ayaz Atalan ◽  
Mete Tayanç ◽  
Kamil Erkan ◽  
Abdulkadir Atalan
Keyword(s):  
Wind Speed ◽  
Nonlinear Optimization ◽  
Wind Power ◽  
Design Of Experiment ◽  
Power Plants ◽  
Energy Output ◽  
Optimization Models ◽  
Box Behnken Design ◽  
Wind Power Plants ◽  
The Future

This study aims to develop an optimization model for obtaining the maximum benefit from wind power plants (WPPs) to help with reducing external dependence in terms of energy. In this sense, design of experiment and optimization methods are comprehensively combined in the wind energy field for the first time. Existing data from installed WPPs operating in Turkey for the years of 2017 and 2018 are analyzed. Both the individual and interactive effects of controllable factors, namely turbine power (MW), hub height (m) and rotor diameter (m), and uncontrollable factor as wind speed (m/s) on WPPs are investigated with the help of Box-Behnken design. Nonlinear optimization models are utilized to estimate optimum values for each decision variable in order to maximize the amount of energy to be produced for the future. Based on the developed nonlinear optimization models, the optimum results with high desirability value (0.9587) for the inputs of turbine power, hub height, rotor diameter and wind speed are calculated as 3.0670 MW, 108.8424 m, 106.7597 m, and 6.1684 m/s, respectively. The maximum energy output with these input values is computed as 9.952 million kWh per unit turbine, annually. The results of this study can be used as a guideline in the design of new WPPs to produce the maximum amount of energy contributing to supply escalating energy needs by more sustainable and clean ways for the future.

scholarly journals Piecewise function parameters as responses of the design of experiment in the development of a pulsatile release chronopharmaceutical system

2016 ◽  
Vol 66 (2) ◽  
pp. 173-189 ◽  
Author(s):  
Andreea Loredana Vonica-Gligor ◽  
Ioan Tomuţă ◽  
Sorin E. Leucuţa
Keyword(s):  
Drug Release ◽  
Design Of Experiment ◽  
Film Coating ◽  
Dissolution Profile ◽  
Box Behnken Design ◽  
Pulsatile Release ◽  
Swelling Agent ◽  
Piecewise Function ◽  
Optimum Formulation ◽  
Sigmoid Shape

Abstract The aim of this work was to develop a pulsatile release system with metoprolol for chronotherapeutical use by coating swellable mini-tablets with Eudragit RS. To study the influence of the formulation factors (amount of coating polymer, plasticizer percentage in film coating and swelling agent percentage in mini-tablets), a Box-Behnken design of experiment (DoE) was used. To evaluate the influence of the studied factors on the sigmoid shape of the dissolution profile, piecewise function parameters were used as the responses of DoE. The results show that higher concentrations of coating polymer and higher concentrations of plasticizer polymer led to a thicker and more elastic polymeric film, which led to a delay in drug release. Using the parameters of the piecewise function as DoE responses, an optimum formulation with a sigmoid shape dissolution profile and a 2.5-h lag time followed by rapid drug release were obtained.

scholarly journals Abrasion Behaviour of Wool-Viscose Hand Tufted Carpets using Response Surface Methodology

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Shravan Kumar Gupta ◽  
Anupam Agarwal ◽  
Anupam Kumar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Design Of Experiment ◽  
Abrasion Resistance ◽  
Process Variables ◽  
Box Behnken Design ◽  
Abrasion Loss

The effect of viscose blend in pile yarn, pile height and pile density on abrasion resistance of hand tufted carpets has been studied. The interaction between the process variables has been analyzed by using response surface methodology based on the Box-Behnken design of experiment. Overall, higher percentage (%) of viscose in the blend, lower pile height and lower pile density yield the minimum abrasion loss for the hand tufted carpets.

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