scholarly journals Obtaining process of interpolymeric complexes from lactalbumin, xanthan gum and pectin

2014 ◽  
Vol 17 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Virginia Coimbra Zuvanov ◽  
Edwin Elard Garcia-rojas ◽  
Clitor Júnior Fernandes de Souza ◽  
Eliana da Silva Gulão ◽  
Luciano José Barreto Pereira
Keyword(s):  
Experimental Data ◽  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Xanthan Gum ◽  
Optimization Process ◽  
Coefficient Of Determination ◽  
Optimum Conditions ◽  
Independent Variables ◽  
Nacl Concentration

In this work, the optimization process of interpolymeric complexes formation between lactalbumin and the polysaccharides xanthan gum and pectin was studied in order to define the optimum conditions for the complexes formation. For the experimental design, response surface methodology (RSM) for three independent variables was used. The optimum conditions for the complexes formation between lactalbumin and xanthan gum were: pH 6.6, NaCl concentration of 0.6 mol/L and xanthan gum concentration 0.083% w/v. And for the complexes formed between pectin and lactalbumin the conditions were: pH 6.6, NaCl concentration of 0.25 mol/L and pectin concentration of 0.113% w/v. The best fitted model for the experimental data was that corresponding to the complex xanthan gum-lactalbumin, whose coefficient of determination (R²) was 0.97.

scholarly journals Enzyme optimization to reduce the viscosity of pitanga (Eugenia uniflora L.) juice

2016 ◽  
Vol 19 (0) ◽  
Author(s):  
Ricardo Schmitz Ongaratto ◽  
Luiz Antonio Viotto
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Incubation Time ◽  
Regression Models ◽  
Incubation Temperature ◽  
Correlation Coefficients ◽  
Enzyme Concentration ◽  
Optimum Conditions ◽  
Activity Time ◽  
Independent Variables

Summary The aim of this work was to separately evaluate the effects of pectinase and cellulase on the viscosity of pitanga juice, and determine the optimum conditions for their use employing response surface methodology. The independent variables were pectinase concentration (0-2.0 mg.g–1) and cellulase concentration (0-1.0 mg.g–1), activity time (10-110 min) and incubation temperature (23.2-56.8 °C). The use of pectinase and cellulase reduced the viscosity by about 15% and 25%, respectively. The results showed that enzyme concentration was the most important factor followed by activity time, and for the application of cellulase the incubation temperature had a significant effect too. The regression models showed correlation coefficients (R2) near to 0.90. The pectinase application conditions that led to the lowest viscosity were: concentration of 1.7 mg.g–1, incubation temperature of 37.6 °C and incubation time of 80 minutes, while for cellulase the values were: concentration of 1.0 mg.g-1, temperature range of 25 °C to 35 °C and incubation time of 110 minutes.

scholarly journals Optimization of Prebiotics and Oxygen Scavengers for Bifidobacterium bifidum BB01 Microcapsules by Response Surface Methodology

2018 ◽  
Vol 22 (1) ◽  
pp. 3-12
Author(s):  
Yilin Li ◽  
Guowei Shu ◽  
Yichao Li ◽  
Yu Liu ◽  
Yajuan Song
Keyword(s):  
Ascorbic Acid ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Screening Test ◽  
Xanthan Gum ◽  
Bifidobacterium Bifidum ◽  
Single Factor ◽  
Optimum Conditions ◽  
Oxygen Scavengers ◽  
Single Factor Experiment

Abstract The effects of different prebiotics and oxygen scavengers on making the process of xanthan gum and chitosan (XC) Bifidobacterium bifidum BB01 microcapsules were studied by single factor experiment and Plackett-Burman screening test, ascorbic acid, sodium erythorbate and xylo-oligosaccharide had significant effects. Based on the previous studies, the process XC B. Bifidum BB01 microcapsules were further optimized by Box-Behnken model in this study. Response surface analysis showed that the best additive amoumt of ascorbic acid, sodium erythorbate and xylo-oligosaccharide were 3.0%, 2.36% and 4.99%, respectively. The viable counts of B. Bifidum BB01 microcapsules reached to 1.52×1010CFU/g from 1.25×1010 CFU/g, the encapsulation yield reached to 94.88% from 90% under the optimum conditions. It provided the research foundation for the afterward production and exploration of the process XC B. Bifidum BB01 microcapsules.

The optimization of prebiotic sucrose-free mango nectar by response surface methodology: The effect of stevia and inulin on physicochemical and rheological properties

2018 ◽  
Vol 25 (3) ◽  
pp. 243-251 ◽  
Author(s):  
Ainaz Alizadeh ◽  
Amin Seyedan Oskuyi ◽  
Sajed Amjadi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Food Industry ◽  
Three Dimensional ◽  
Coefficient Of Determination ◽  
Sugar Consumption ◽  
Low Calorie ◽  
Independent Variables ◽  
Optimum Model ◽  
Optimum Sample

The reduction of sugar consumption is one of the major challenges for nutritionists and food industry. Therefore, it is significant to replace sucrose with other types of sweeteners, especially, natural ones. The aim of the present study is to produce low-calorie, sucrose-free mango nectar and to optimize the formulation by employing response surface methodology. The two independent variables were stevia, as a low-calorie sugar replacer (0, 1.5, and 3% w/w) and inulin as a prebiotic texturizer (0, 3, and 6% w/w) in order to compensate sugar elimination defect on viscosity and °Brix. The fitted models indicated a high coefficient of determination. The results revealed that stevia and inulin are as the independent variables which had significant effects on °Brix, viscosity, and sensory scores (p < 0.05). Also, pH was affected by stevia concentration. The rheological behavior of the sucrose-free mango nectar was non-Newtonian, shear thinning as Herschel–Bulkley model which was not different from the reported behavior for normal mango nectar-containing sucrose. The optimization of the variables, based on the response surface three-dimensional plots, demonstrated that utilizing 6% w/w inulin and 3% w/w stevia produced the optimum mango nectar with the desirability of 0.85 without undesirable changes in the physicochemical and organoleptic properties. The optimum sample was produced in triplicate to validate the optimum model as well.

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.

OPTIMIZATION OF PHYTOESTROGENS EXTRACTION FROM SOY GERM USING RESPONSE SURFACE METHODOLOGY

2021 ◽  
pp. 70-78
Author(s):  
Chau Le Minh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Antioxidant Activities ◽  
Extraction Time ◽  
Optimum Conditions ◽  
Potential Health ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Solid Ratio

Phytoestrogens are phytochemicals with antioxidant activities and potential health benefits. Their contents in soy germ is the highest compared to that in parts of soy seed. Response surface methodology (RSM) using Box Behnken Design of four factors was employed to optimize the extraction conditions for phytoestrogens. The Box Behnken Design with five replicates at central point was applied. The four independent variables investigated in this experiment were extraction time (X1) 60-120 minutes, solvent/solid ratio (X2) 8-12, extraction pH (X3) 8-10, ethanol concentration (X4) 50-70%. The high coefficient values indicated that the variables were fitted to the regression for the total phytoestrogens (R2 = 0.9887). Optimum conditions for maximizing total crude phytoestrogen content were 90 minutes for the extraction time, 12/1 for the extraction ratio, 9 for the extraction pH, and 65%  for the ethanol concentration.

Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles

2017 ◽  
Vol 69 (3) ◽  
pp. 387-392 ◽  
Author(s):  
Nor Syahirah Mohamad ◽  
Salmiah Kasolang
Keyword(s):  
Response Surface Methodology ◽  
Mathematical Models ◽  
Response Surface ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Contour Plot ◽  
Content Type ◽  
Independent Variables ◽  
Non Linear System

Purpose An optimized model is often deployed to reduce trial and error in experimental approach and obtain the multi-variant correlation. In this study, response surface methodology (RSM), namely, Box–Behnken design (BBD) approach, has been used to optimize the characterization of lubricant with additives. BBD is based on multivariate analysis whereby the effects of different parameters are considered simultaneously. It is a non-linear system which is more representative of the actual phenomenon. This study aims to investigate the effect of three independent variables, namely, speed, load and concentration of TiO2, on the coefficient of friction (CoF). Design/methodology/approach RSM was applied to get the multiplicity of the self-determining input variables and construct mathematical models. Mathematical models were established to predict the CoF and to conduct a statistical analysis of the independent variables’ interactions on response surface using Minitab 16.0 statistical software. Three parameters were regulated: speed (X1), load (X2) and concentration of TiO2 (X3). The output measured was the CoF. Findings The result obtained from BBD has shown that the most influential parameter was speed, followed by concentration of TiO2 nanoparticles and then normal load. Analysis of variance indicated that the proposed experiment from the quadratic model has successfully interpreted the experimental data with a coefficient of determination R2 = 0.9931. From the contour plot of BBD, the optimization zone for interacting variables has been obtained. The zone indicates two regions of lower friction values (<0.04): concentration between 0.5 to 1.0 Wt.% for a speed range of 1,000 to 2,000 rpm, and load between 17 to 20 kg for a speed in the range of 1,200 to 1,900 rpm. The optimized condition shows that the minimum value of CoF (0.0191) is at speed of 1,782 rpm, load of 20 kg and TiO2 concentration of 1.0 Wt.%. Originality/value In general, it has been shown that RSM is an effective and powerful tool in experimental optimization of multi-variants.

scholarly journals Optimization of biosorption of nickel(II) and cadmium(II) by indigenous seaweed Enteromorpha using response surface methodology

2015 ◽  
Vol 50 (2) ◽  
pp. 109-122 ◽  
Author(s):  
Gholamreza Tolian ◽  
Seyed Ali Jafari ◽  
Saeid Zarei
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Biomass Concentration ◽  
Langmuir Model ◽  
Optimum Conditions ◽  
Box Behnken Design ◽  
Biosorption Capacity ◽  
Independent Variables ◽  
Maximum Sorption

In the present paper, the biosorption capacity of an indigenous seaweed Enteromorpha sp. was assessed and compared for nickel(II) and cadmium(II) removal from aqueous solution. Response surface methodology based on Box–Behnken design was employed to achieve the optimum removal conditions as well as investigating the effects of some independent variables on the process performance. It was found that the maximum nickel(II) removal achieved was 87.16% under optimum conditions of pH 4.79, biomass concentration of 1,000 mg/L, contact time 70 min and temperature of 25 °C. For cadmium the optimum conditions were defined as pH 4.88, biomass concentration of 1,000 mg/L, contact time 50 min and temperature fixed at 65 °C which resulted in a maximum 75.16% removal. Equilibrium isotherm studies revealed that Freundlich and Langmuir models were more successful for describing nickel(II) and cadmium(II) biosorption data, respectively. The maximum sorption capacities of biomass, qmax, for nickel(II) and cadmium(II) were predicted as 250 and 167 mg/g, respectively, by the Langmuir model. The results suggest Enteromorpha seaweed as an eco-friendly and suitable biosorbent for nickel(II) and cadmium(II) removal from aqueous solutions.

scholarly journals Optimization of Polystyrene Biodegradation using Response Surface Methodology (RSM) Measured by Simple Colorimetric Method

2019 ◽  
Vol 7 (4.14) ◽  
pp. 216
Author(s):  
T. K. Meng ◽  
D. Y.Y. Beng ◽  
A. S. Mohd Kassim ◽  
A. H. A. Razak ◽  
N. A. Mohd Fauzi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Food Packaging ◽  
Colorimetric Method ◽  
Future Research ◽  
Blue Dye ◽  
Optimum Conditions ◽  
Significant Information ◽  
Independent Variables ◽  
Bacillus Aryabhattai

Nearly 280 kilotons of polystyrene (PS) waste being discarded yearly in Malaysia. Banning usage of PS food packaging aims to minimize this “white pollution”. However, the existing PS waste volume remains the same despite the termination of PS production. Therefore, this study has investigated the optimization of biodegradation of PS using isolated strain Bacillus aryabhattai as an alternative solution to the biodegradation of recalcitrant plastic. The effect of pH and temperature as independent variables were studied at three levels each (pH: 6, 7.5 and 9, temperature: 25 °C, 35 °C and 45 °C) under the designation by three level-factorial and analysed using response surface methodology (RSM) by Design Expert Version 10.0. The biodegradation activity of Bacillus aryabhattai was quantified using simple colorimetric method. Bacillus aryabhattai was inoculated on the dye PS-film and incubated under designed conditions. As a result of biodegradation, the entrapped methylene blue dye was released and measured photometrically. Optimum conditions for the highest reading of blue dye absorbance were obtained at pH 9 and temperature of 25ºC with the desirability of 75.9%. This study provides significant information on the biodegradation activity of Bacillus aryabhattai for future research that can be applied in waste management. 

scholarly journals Optimization of Polystyrene Biodegradation using Response Surface Methodology (RSM) Measured by Simple Colorimetric Method

2019 ◽  
Vol 7 (4.14) ◽  
pp. 216
Author(s):  
T. K. Meng ◽  
D. Y.Y. Beng ◽  
A. S. Mohd Kassim ◽  
A. H. A. Razak ◽  
N. A. Mohd Fauzi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Food Packaging ◽  
Colorimetric Method ◽  
Future Research ◽  
Blue Dye ◽  
Optimum Conditions ◽  
Significant Information ◽  
Independent Variables ◽  
Bacillus Aryabhattai

Nearly 280 kilotons of polystyrene (PS) waste being discarded yearly in Malaysia. Banning usage of PS food packaging aims to minimize this “white pollution”. However, the existing PS waste volume remains the same despite the termination of PS production. Therefore, this study has investigated the optimization of biodegradation of PS using isolated strain Bacillus aryabhattai as an alternative solution to the biodegradation of recalcitrant plastic. The effect of pH and temperature as independent variables were studied at three levels each (pH: 6, 7.5 and 9, temperature: 25 °C, 35 °C and 45 °C) under the designation by three level-factorial and analysed using response surface methodology (RSM) by Design Expert Version 10.0. The biodegradation activity of Bacillus aryabhattai was quantified using simple colorimetric method. Bacillus aryabhattai was inoculated on the dye PS-film and incubated under designed conditions. As a result of biodegradation, the entrapped methylene blue dye was released and measured photometrically. Optimum conditions for the highest reading of blue dye absorbance were obtained at pH 9 and temperature of 25ºC with the desirability of 75.9%. This study provides significant information on the biodegradation activity of Bacillus aryabhattai for future research that can be applied in waste management.  

scholarly journals Modelling Dimethoate Removal by Fenton-Like Process Using Response Surface Methodology

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 649
Author(s):  
Berrak Erol Nalbur ◽  
Arzu Teksoy ◽  
Seval Kutlu Akal Solmaz ◽  
Hilal Safiye Azak
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Toxic Effect ◽  
Response Surface ◽  
Analytical Methods ◽  
Significant Variable ◽  
Optimum Conditions ◽  
Independent Variables ◽  
Oxidation Efficiency

The (RSM) is a useful method for optimizing analytical methods and it has been applied to evaluate independent variables in FPs. In this study, the removal of dimethoate (DMT) which is a commonly used pesticide and has a toxic effect on the environment, was evaluated in terms of oxidation and mineralization efficiency using response surface methodology (RSM) in the Fenton-like process (FLP). The obtained optimum conditions for DMT oxidation and mineralization using the FLP included DMT/Fe+3/H2O2 ratio of 0.018 mM/0.03 mM/0.15 mM and reaction time of 65 min. DMT oxidation efficiency was 78% and mineralization efficiency was 18%. The initial DMT concentration was the most significant variable affecting both the oxidation and mineralization efficiency of DMT.

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