Selective Extraction of Surface-active and Antioxidant Hydrolysates from Yellowfin Tuna Red Meat Protein using Papain by Response Surface Methodology

2019 ◽  
Vol 56 (1) ◽  
pp. 10 ◽  
Author(s):  
Parvathy Unnikrishnan ◽  
Binsi Puthenveetil Kizhakkethil ◽  
Jeyakumari Annamalai ◽  
Joshy Chalil George ◽  
Aliyamveetil Abubacker Zynudheen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Selective Extraction ◽  
Red Meat ◽  
Yellowfin Tuna ◽  
Coefficient Of Determination ◽  
Hydrolysis Time ◽  
Antioxidative Properties ◽  
Superior Surface ◽  
Surface Active

The present study was focused on the selective extraction of surface-active and antioxidant hydrolysates from yellowfin tuna (Thunnus albacares) red meat based on separate hydrolytic conditions using papain. The effect of key processing variables viz., enzymesubstrate ratio (0.25-1.5 %) and hydrolysis time (30-240 min) under optimized temperature and pH, on the protein recovery, surface-active and antioxidative properties, was determined using Response Surface Methodology (RSM) with a central composite design. Single and combined effects of the variables on the responses were studied by formulating 13 experimental runs. The coefficient of determination (R2) ranged between 0.73 – 0.99 indicating the suitability of the fitted regression models. The optimum hydrolytic conditions to get hydrolysates having superior surface-active properties were enzyme-substrate ratio (E/S) of 0.41 % and 30 minutes hydrolysis time with a desirability of 0.611. Similarly, the optimum conditions to exhibit the highest antioxidative properties with a desirability of 0.932 were: 1.28 % E/S and 240 minutes hydrolysis time.

Optimization of L-Arabinose Hydrolization from Corn Fibers Using Response Surface Methodology

2011 ◽  
Vol 396-398 ◽  
pp. 1662-1666
Author(s):  
Ze Sheng Zhang ◽  
Min Zheng ◽  
Hong Fei Zou
Keyword(s):  
Response Surface Methodology ◽  
Oxalic Acid ◽  
Response Surface ◽  
Reaction Temperature ◽  
Coefficient Of Determination ◽  
Hydrolysis Time ◽  
Design Expert ◽  
Independent Variables ◽  
Significant Regression ◽  
Corn Fibers

The main objective of this study was to optimize the hydrolyzing conditions of L-Arabinose from corn fibers. The response surface methodology was used for the optimization. Independent variables were the concentration of the oxalic acid (2-4%), the hydrolysis time (3.5-4.5h) ,the dosage of the oxalic acid(6-10ml/g,v/w)and the reaction temperature (80-100°C). Significant regression model describing the changes of L-Arabinose yield with respect to hydrolysis parameters were established with the coefficient of determination, R2= 0.9501.Data were analyzed by Design Expert 7.0 and regression analysis. The L-Arabinose yield ranged from 7.53% to 11.46%. The models had significant effects on L-Arabinose yield at P<0.05. Optimum the hydrolysis time, the concentration of the oxalic acid, the dosage of the oxalic acid and the reaction temperature were 3.86h, 3.97%, 6mL/g (v/w) and 100°C, respectively. This combination gave 11.46% L-Arabinose yield.

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.

scholarly journals Optimization of an Ultrasound-Assisted Extraction Condition for Flavonoid Compounds from Cocoa Shells (Theobroma cacao) Using Response Surface Methodology

Molecules ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 711 ◽  
Author(s):  
Arief Md Yusof ◽  
Siti Abd Gani ◽  
Uswatun Zaidan ◽  
Mohd Halmi ◽  
Badrul Zainudin
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Irradiation Time ◽  
Ultrasound Irradiation ◽  
Coefficient Of Determination ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Ultrasound Assisted ◽  
Experimental Values

This study investigates the ultrasound-assisted extraction of flavonoids from Malaysian cocoa shell extracts, and optimization using response surface methodology. There are three variables involved in this study, namely: ethanol concentration (70–90 v/v %), temperature (45–65 °C), and ultrasound irradiation time (30–60 min). All of the data were collected and analyzed for variance (ANOVA). The coefficient of determination (R2) and the model was significant in interaction between all variables (98% and p < 0.0001, respectively). In addition, the lack of fit test for the model was not of significance, with p > 0.0684. The ethanol concentration, temperature, and ultrasound irradiation time that yielded the maximum value of the total flavonoid content (TFC; 7.47 mg RE/g dried weight (DW)) was 80%, 55 °C, and 45 min, respectively. The optimum value from the validation of the experimental TFC was 7.23 ± 0.15 mg of rutin, equivalent per gram of extract with ethanol concentration, temperature, and ultrasound irradiation time values of 74.20%, 49.99 °C, and 42.82 min, respectively. While the modelled equation fits the data, the T-test is not significant, suggesting that the experimental values agree with those predicted by the response surface methodology models.

scholarly journals Optimization of electrocoagulation of instant coffee production wastewater using the response surface methodology

2017 ◽  
Vol 19 (2) ◽  
pp. 67-71 ◽  
Author(s):  
Ha Manh Bui
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Current Density ◽  
Cod Removal ◽  
Coefficient Of Determination ◽  
Electrolysis Time ◽  
Instant Coffee ◽  
Operating Variables ◽  
Initial Ph

Abstract The COD removal efficiency from an instant coffee processing wastewater using electrocoagulation was investigated. For this purpose, the response surface methodology was employed, using central composing design to optimize three of the most important operating variables, i.e., electrolysis time, current density and initial pH. The results based upon statistical analysis showed that the quadratic models for COD removal were significant at very low probability value (<0.0001) and high coefficient of determination (R2 = 0.9621) value. The statistical results also indicated that all the three variables and the interaction between initial pH and electrolysis time were significant on COD abatement. The maximum predicted COD removal using the response function reached 93.3% with electrolysis time of 10 min, current density of 108.3 A/m2 and initial pH of 7.0, respectively. The removal efficiency value was agreed well with the experimental value of COD removal (90.4%) under the optimum conditions.

Modeling of Dye-Free, Salt-Free Coloration in Wool Fabric Using Response Surface Methodology

2013 ◽  
Vol 746 ◽  
pp. 380-384 ◽  
Author(s):  
Hui Zi Fu ◽  
Yong Zhu Cui ◽  
Wang Xiao ◽  
Li Hua Lv
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Correlation Coefficient ◽  
Predictive Models ◽  
Polynomial Regression ◽  
Sulfuric Acid Concentration ◽  
Coefficient Of Determination ◽  
Wool Fabric ◽  
Excellent Performance ◽  
Simulation And Optimization

In the present work, dye-free, salt-free coloration in wool fabric was studied. Response surface methodology (RSM) was used to develop predictive models for simulation and optimization of the color index a*b*ΔE. The influence of the viriables (sulfuric acid concentration,dyeing time ,dyeing temperature and concentration of DMBA) were investigated with the help of MINITAB16 software. The modeling methodologies was statisticallyanalysed by the coefficient of determination (R2), Correlation Coefficient values and Correlation Coefficient values. Results indicated excellent performance of experimental data by polynomial regression model.Finally, the corresponding effects of the independent viariables were studied by the analysis of variance (ANOVA).

scholarly journals Application of the response surface methodology for the evaluation of Staphylococcus aureus inhibition with Ag/TiO2 nanoparticles

2021 ◽  
Author(s):  
M.A. Olivares-Ramírez ◽  
Leticia López-Zamora ◽  
M.J. Peña-Juárez ◽  
E.J. Gutiérrez-Castañeda ◽  
J.A. Gonzalez-Calderon
Keyword(s):  
Staphylococcus Aureus ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Significance ◽  
Antimicrobial Effect ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Poly Lactic Acid ◽  
P Value ◽  
Zone Of Inhibition

Abstract The present work shows the implementation of the Response Surface Methodology (RSM), fed by an experimental Central Composite Design (CCD) to find the conditions that allow maximizing the inhibition of the microorganism Staphylococcus aureus with nanoparticles of TiO2 silanized with 3-Aminopropyltriethoxysilane (APTES) and doped with Ag. In addition, Poly(lactic) acid composites were prepared with these Ag/TiO2 nanoparticles with the aim to confer their antimicrobial effect. The independent variables considered were pH, AgNO3/TiO2 ratio (% w/w), and TiO2 nanoparticles concentration (g/250 mL), and as the variable of response, the length of the diameter of the halo or zone of inhibition presented by the microorganism (mm). Statistical analysis found that maximization of S. aureus inhibition occurs at intermediate levels with a value of 10 for pH and 5 g of TiO2 solids, while for the concentration of AgNO3 high levels are required, greater than 10% w/w. Likewise, the statistical significance was determined using the Student's t-test and the p-value; it was found that the significant effect corresponds to the concentration of AgNO3, so a second experimental CCD design equirradial with two factors was considered, estimating AgNO3 concentration and TiO2 amount, the pH at constant 10 value. The second experimental design indicated that maximization in S. aureus inhibition occurs at an AgNO3 concentration between 20-25% w/w with high amounts of TiO2 solids (7-8 g), with a resulting zone of inhibition between 26-28 mm. The quadratic model obtained, which represents the relationship between the length of the zone of inhibition with the variables considered, shows an adjustment of experimental data with a coefficient of determination (R2) of 0.82.

scholarly journals Response surface methodology for optimization studies of hydro-distillation of essential oil from pixie mandarin (Citrus reticulata Blanco) peels

2021 ◽  
Vol 23 (4) ◽  
pp. 26-34
Author(s):  
Tan Phat Dao ◽  
Ngo Thi Cam Quyen ◽  
Tran Thi Yen Nhi ◽  
Chi Cuong Nguyen ◽  
Trung Thanh Nguyen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Target Function ◽  
Extraction Process ◽  
Coefficient Of Determination ◽  
Gas Chromatography Mass Spectrometry ◽  
P Value ◽  
Alternative Source ◽  
Mathematical Techniques

Abstract Essential oil extraction technique from mandarin pixie peels by hydro-distillation is optimized by response surface methodology (RSM). Mathematical techniques were used in experimental design to evaluate the impacts of factors that affect the extraction process and improve the yield of the extraction process. A central mixed design based on influencing variables such as water ratio (3–5 mL/g), temperature (110–130 °C) and extraction time (90–150 min) was adopted with essential oil yield as the target function. Correlation analysis of the mathematical regression model showed that the quadratic polynomial model can be used to optimize hydro-distillation of pixie mandarin oil. The results showed that under the optimum extraction conditions, the highest quantity of essential oils was achieved (7.28 mL/100 g materials). In terms of statistical analysis, the significance levels (p-value <0.05) of the model showed that the experimental results had a good impact between factors. The coefficient of determination indicating the match between the experimental value and the predicted value of the model was high (R2>0.9). The chemical composition of the essential oil was analyzed by Gas Chromatography-Mass Spectrometry, revealing the dominance of limonene content (97.667%), which implies that the essential oil of pixie mandarin could be an alternative source of limonene.

scholarly journals Optimization of Chromium Removal by the Indigenous Bacterium Bacillus spp. REP02 Using the Response Surface Methodology

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
C. K. Venil ◽  
V. Mohan ◽  
P. Lakshmanaperumalsamy ◽  
M. B. Yerima
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Industrial Effluents ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Indigenous Bacterium ◽  
Bacillus Spp ◽  
Chromium Electroplating ◽  
Bacterium Bacillus

An indigenous bacterium, Bacillus REP02, was isolated from locally sourced chromium electroplating industrial effluents. Response surface methodology was employed to optimize the five critical medium parameters responsible for higher % Cr2+ removal by the bacterium Bacillus REP02. A three-level Box-Behnken factorial design was used to optimize K2HPO4, yeast extract, MgSO4, NH4NO3, and dextrose for Cr2+ removal. A coefficient of determination (R2) value (0.93), model F-value (3.92) and its low P-value (F<0.0008) along with lower value of coefficient of variation (5.39) indicated the fitness of response surface quadratic model during the present study. At optimum parameters of K2HPO4 (0.6 g L−1), yeast extract (5.5 g L−1), MgSO4 (0.04 g L−1), NH4NO3 (0.20 g L−1), and dextrose (12.50 g L−1), the model predicted 98.86% Cr2+ removal, and experimentally, 99.08% Cr2+ removal was found.

Application of Response Surface Methodology to Optimise Preparation High Antioxidant Activity Product from Pinctada fucata Muscle

2011 ◽  
Vol 396-398 ◽  
pp. 1341-1348 ◽  
Author(s):  
Yan Yan Wu ◽  
Lai Hao Li ◽  
Zhen Hua Duan ◽  
Xian Qing Yang ◽  
Jun Shang ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Radical Scavenging ◽  
Response Surfaces ◽  
Pinctada Fucata ◽  
Degree Of Hydrolysis ◽  
Hydrolysis Time ◽  
Activity Product ◽  
High Antioxidant Activity

The high antioxidant activity product was isolated from Pinctada fucata muscle by a method of Alcalase hydrolysis. Optimization using response surface methodology was performed and 3D response surfaces were plotted from the mathematical model. The results indicated that the optimal extraction conditions were as follows: pH 7.0, temperature 61°C, E/S 3.01%, hydrolysis time 3h, under the conditions of hydrolysis products of the DPPH radical scavenging rate of 67.3% and the degree of hydrolysis of 31.2%, which was in good agreement with the predicted model value.

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