Development of compressed meat based bar using response surface methodology

2017 ◽  
Vol 2 (2) ◽  
pp. 226
Author(s):  
K. Jayathilakan ◽  
Rajkumar Ahirwar ◽  
Khudsia Sultana ◽  
M. C. Pandey
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Applied Pressure ◽  
Quadratic Model ◽  
Central Composite Rotatable Design ◽  
Protein Percentage ◽  
Overall Acceptability ◽  
Protein Levels ◽  
Hedonic Scale ◽  
Central Composite

<p>Studies were carried out to optimize the percentage of ingredients for the development of ready to eat mutton bar. Central composite rotatable design of response surface methodology (RSM) was used for designing the experimental combinations. Matrix for compression was designed by selecting factors like mutton powder, binders and applied pressure. Protein percentage, hardness and over all acceptability (OAA) were taken as responses. OAA and hardness showed highly significant and fitted with quadratic model whereas other response i.e. protein levels found to be significant and fitted with linear model. From the design of experiments 45g/100g of mutton powder with 5g/100g binders having an applied pressure of 142 kg/cm<sup>2</sup> yielded a bar having a protein percentage of 35g/100g with a hardness of 20.9 N with an overall acceptability score of 8.6 ±0.2 on a 9 point hedonic scale. The product gives energy of 393 kcal per 100 g.</p>

Application of Response Surface Methodology and Central Composite Rotatable Design for Modeling and Optimization of Catalyst Compositions in Ethanol Synthesis via CO Hydrogenation

2014 ◽  
Vol 12 (1) ◽  
pp. 245-255
Author(s):  
Fang Li ◽  
Hongfang Ma ◽  
Weiyong Ying
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Co Hydrogenation ◽  
Quadratic Model ◽  
Central Composite Rotatable Design ◽  
Co Conversion ◽  
Experimental Values ◽  
Central Composite ◽  
Ethanol Synthesis ◽  
Rotatable Design

Abstract A statistical analysis about the effect of catalyst compositions on ethanol synthesis from CO hydrogenation was studied. The effect of Rh loading (0–3 wt.%), Fe loading (2–10 wt.%) and Mn loading (0.5–2.5 wt.%) of RhMnFe/γ-Al2O3 was studied through response surface methodology (RSM) combined with a central composite rotatable design (CCRD). A linear and a quadratic model were proposed to correlate the three variables to the two responses: CO conversion and ethanol selectivity. The predicted values for ethanol selectivity were in a good agreement with the experimental values, with R2 of 0.9779. The optimum conditions for achieving the maximum ethanol selectivity (27.8%) while limiting CO conversion at a moderate level (>20%) were as follows: Rh loading of 2.5 wt.%, Mn loading of 2.5 wt.% and Fe loading of 4 wt.%. Two representing catalysts were characterized by XRD, TPR and DRIFTS.

scholarly journals Application of Electrocoagulation for the Removal of Color from Institutional Wastewater: Analysis with Response Surface Methodology

2021 ◽  
Vol 9 (2) ◽  
pp. 470-479
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
The Other ◽  
Quadratic Model ◽  
Operational Parameters ◽  
Electrode Combination ◽  
Electrocoagulation Process ◽  
Percentage Removal ◽  
Central Composite

The removal percentage of color from institutional wastewater was studied using an electrocoagulation process with different electrode combination at the anode and cathode. This was done by considering operational parameters such as pH at (3, 6 and 9), current at (0.03A, 0.06A and 0.09A) and reaction time at (20, 40 and 60 minutes). When electrode combined in the form of Al-Al (anode-Cathode/Cathode-Anode) and Fe-Fe (anode-Cathode/Cathode-Anode) the percentage removal of color was up to 95.50% and 97.24% respectively. On the other hand around 98.03% and 91.95% of color was removed when Al-Fe (Anode-Cathode) and Fe-Al (Anode-Cathode) combined at pH 9 and 60 minutes of reaction time respectively. Central composite design from response surface methodology was used up to analysis the statistical and mathematical data based on experimental results such as the model was significant for all electrode combinations. Similarly a quadratic model was used for further study of operational effects on the removal (%) of color from institutional wastewater. The value of coefficient of the determination (R2) also indicated the model was a good fit as well as optimization was done by Response Surface Methodology.

scholarly journals Optimization of parameters affecting dealcoholization of anthocyanin extract by liquid emulsion membrane using response surface methodology

2021 ◽  
Vol 19 (6) ◽  
pp. 562-574
Author(s):  
Prakash Binnal ◽  
Rajashekhara S. ◽  
Jagadish Patil
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Suitable Model ◽  
Central Composite Rotatable Design ◽  
Design Expert ◽  
Optimum Parameters ◽  
Response Surface Plot ◽  
Surface Plot ◽  
Liquid Emulsion ◽  
Central Composite

Colour is one of most important properties of foods and beverages and is a basis for their identification and acceptability. Anthocyanin from red cabbage was extracted using 50 % ethanol. The extract was dealcoholized by Liquid Emlusion Membrane technology (LEM). Parafin oil was used as a solvent, lecithin was used as a surfactant and water as stripping medium. Response surface methodology (RSM) was used to design the experiments. A total of 30 experiments were conducted in accordance with central composite rotatable design. Design expert 8 was used to design the experiments. % extraction of alcohol in each case was determined. A suitable model was fitted to experimental data by regression analysis (R-square=0.93). Response surface plot were analysed and optimum parameters for dealcoholization were found to be speed=365.44 rpm, time=18.62 min, concentration of lecithin=2.84 %, feed to emulsion ratio=3.05. A maximum dealcoholisation of 18.63 % was observed under these conditions

scholarly journals The Brazilian Way to Consume acai: Do guarana Extract and Sugar Concentrations Influence on Acceptance?

2013 ◽  
Vol 3 (1) ◽  
pp. 39
Author(s):  
Gabriela Montenegro ◽  
Karen S. Pereira ◽  
Lauro Melo
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Critical Value ◽  
Consumer Acceptance ◽  
Central Composite Rotatable Design ◽  
Optimal Conditions ◽  
F Test ◽  
Sensory Acceptance ◽  
Amazon Estuary ◽  
Central Composite

<p class="Normal1"><em>A</em><em>c</em><em>a</em><em>i</em> is a palm widely distributed in the Amazon estuary floodplains. The edible pulp of acai fruits is commonly macerated with water to produce a thick, purple beverage of creamy texture, oily appearance, and characteristic flavor. Depending on the Brazilian region, the acai based-product is prepared adding sugar and <em>guaran</em><em>a</em> extract, but their ideal proportions have never been determined in order to optimize consumers’ sensory acceptance. This research investigated these concentrations using response surface methodology (RSM) based on a five-level, two variable central composite rotatable design (CCRD). Dependent variable was consumer acceptance (flavor, texture and overall liking) and results were analyzed by multivariate regressions. Analyses of Variance (ANOVAs) showed significant models – F-test values (29.3 for flavor, for texture 37.8 and 30.4 for overall liking) higher than the critical value of 4.35 (d.f. = 3; p &lt; 0.05; R<sup>2</sup> of 0.926 for flavor, 0.942 for texture and 0.929 for overall liking). Acceptance models are presented (significant parameters). Results showed that guarana extract has a stronger influence (negative) on acceptance compared to sugar (positive), both not on optimal conditions yet. Therefore, more studies are needed in order to optimize acai acceptance.</p>

scholarly journals Densification and volumetric change during supersolidus liquid phase sintering of prealloyed brass Cu28Zn powder: Modeling and optimization

2014 ◽  
Vol 46 (1) ◽  
pp. 23-35 ◽  
Author(s):  
A. Mohammadzadeh ◽  
M. Azadbeh ◽  
Sabahi Namini
Keyword(s):  
Response Surface Methodology ◽  
Liquid Phase ◽  
Response Surface ◽  
Three Dimensional ◽  
Liquid Phase Sintering ◽  
Central Composite Rotatable Design ◽  
Volumetric Change ◽  
Short Period ◽  
Central Composite ◽  
Rotatable Design

An investigation has been made to use response surface methodology and central composite rotatable design for modeling and optimizing the effect of sintering variables on densification of prealloyed Cu28Zn brass powder during supersolidus liquid phase sintering. The mathematical equations were derived to predict sintered density, densification parameter, porosity percentage and volumetric change of samples using second order regression analysis. As well as the adequacy of models was evaluated by analysis of variance technique at 95% confidence level. Finally, the influence and interaction of sintering variables, on achieving any desired properties was demonstrated graphically in contour and three dimensional plots. In order to better analyze the samples, microstructure evaluation was carried out. It was concluded that response surface methodology based on central composite rotatable design, is an economical way to obtain arbitrary information with performing the fewest number of experiments in a short period of time.

Sign in / Sign up

Export Citation Format

Share Document