scholarly journals Optimization of Parameters Using Response Surface Methodology to Develop a Novel Kefir-Like Functional Beverage from Cheese Whey Enriched with Myrtle Juice

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Sana M’hir ◽  
Asma Mejri ◽  
Hajer Atrous ◽  
Lamia Ayed
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Goodness Of Fit ◽  
Raw Material ◽  
Yeast Cells ◽  
Human Consumption ◽  
Average Deviation ◽  
Total Polyphenol ◽  
Overall Acceptability ◽  
Cheese Production

Whey, liquid wastewater from cheese production, is one of the sources of dietary protein and lactose that are still largely unused for human consumption. It is only in recent years that it has aroused the interest of industries and sought as a valuable raw material and thus represents an opportunity for the manufacture of new products. The manufacture of fermented whey drink requires the mixing of whey with fruit juice or an aromatic plant to improve its organoleptic properties and acceptability. Myrtle, an aromatic medicinal plant, known for its health benefits is not well exploited for making dairy products. This is the first report on the development of kefir-myrtle beverage. Three factors were optimized (whey permeates (%), myrtle’s juice (%), and kefir grains as inoculum (%)) using a central composite design with response surface methodology. The analyses showed that the number of lactic acid bacteria (LAB) and yeast cells varied from 5.4 to 9.2 log10 CFU/mL and from 4.3 to 6.2 log10 CFU/mL, respectively. A decrease in pH and an increase in the total polyphenol content and antioxidant activity were observed. The analysis of variance indicated the goodness of fit of the model with R2 from 0.827 to 0.966. The absolute average deviation values of each model were low and ranged from 1.61% to 4.23%. The optimized fermented kefir whey beverage accomplished an overall acceptability of 5.41 (1 to 9 preference scale) and a high number of LAB cells (8.53 log10 CFU/mL). The viability of LAB and yeast cell was maintained at 7.61 and 6.19 log10 CFU/mL, respectively, after 14 days of storage.

scholarly journals Optimization of the Formulation of Rice Biscuits Supplemented with D. Edulis (L.) Powder Using Response Surface Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Eliane Flore Eyenga ◽  
Hippolyte Tene Mouafo ◽  
Mercy Bih Loh Achu ◽  
Wilfred F. Mbacham ◽  
Sali Atanga Ndindeng
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Wheat Flour ◽  
Rice Flour ◽  
Noncommunicable Diseases ◽  
Human Consumption ◽  
Overall Acceptability ◽  
Daily Intakes ◽  
Dacryodes Edulis

Trends in the food industry are nowadays directed towards the reduction of the level of trans fatty acids in food intended for human consumption. The present study was designed and aimed at valorizing Dacryodes edulis (L.) powder as a substitute for margarine in the production of functional rice biscuits. The effect of substituting margarine and refined wheat flour with D. edulis powder locally called safou and rice flour, respectively, at different proportions was assessed for the sensory and physicochemical properties of the formulated biscuits. For this, statistical models were developed, validated, and optimized using the response surface methodology with the Doehlert design as a tool. The results showed that an increase in the substitution rate of margarine with of D. edulis powder enhanced the aroma while the substitution of refined wheat flour with rice flour led to an improvement of the overall quality of the biscuits. The optimal composition of dough for the production of biscuits with satisfying sensory properties was 20.24% of wheat flour, 24.51% of rice flour, 19.09% of margarine, and 2.47% of D. edulis powder. The optimized biscuit which scored the highest overall acceptability contained proteins (10.33 g/100 g DM), fat (27.66 g/100 g DM), crude fibers (2.5 g/100 g DM), ash (3.55 g/100 g DM), and carbohydrates (54.01 g/100 g DM). It has an energy density of 506.3 ± 0.1   kcal / g and could therefore be suitable for the management of malnutrition. Mineral analysis revealed that the biscuit contained sodium (0.200 mg/100 g), potassium (0.192 mg/100 g), phosphorus (0.123 mg/100 g), iron (33.60 ppm), and zinc (26.81 ppm) at levels satisfying the recommended daily intakes. The results of this study demonstrated the suitability of safou as substitute of margarine in the rice biscuit formulation and suggests the potential of the formulated biscuits in the management of malnutrition and noncommunicable diseases such as hypertension, obesity, and cardiovascular diseases.

Optimization of the Ultrasonic Extraction of Gypenoside III from Gynostemma pentaphyllum by Response Surface Methodology

2012 ◽  
Vol 550-553 ◽  
pp. 1866-1870
Author(s):  
Xiao Dan Tang ◽  
Hai Yang Hang ◽  
Shao Yan Wang ◽  
Jing Xiang Cong
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Extraction Yield ◽  
Raw Material ◽  
Extraction Temperature ◽  
Optimal Conditions ◽  
Gynostemma Pentaphyllum ◽  
Bioactive Component ◽  
Yield Value ◽  
Ultrasonic Time

Gypenosides III is a major bioactive component which is rich in Gynostemma pentaphyllum. For better utilization of the native resource, response surface methodology was used to optimize the extraction conditions of gypenosides III from G. pentaphyllum. The effects of three independent variables on the extraction yield of gypenosides III were investigated and the optimal conditions were evaluated by means of Box-Behnken design. The optimal conditions are as follows: ratio of ethanol to raw material 25, extraction temperature 58°C and ultrasonic time 25min. Under these conditions, the yield of gypenoside III is 1.216±0.05%, which is agreed closely with the predicted yield value.

scholarly journals Optimization of Supercritical Carbon Dioxide Extraction of Quercus infectoria Oil

2015 ◽  
Vol 74 (7) ◽  
Author(s):  
Liza Md Salleh ◽  
Stashia ELeaness Rosland Abel ◽  
Gholamreza Zahedi ◽  
Russly Abd Rahman ◽  
Hasmida Mohd Nasir ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Goodness Of Fit ◽  
Maximum Yield ◽  
Extraction Yield ◽  
Extraction Time ◽  
Extraction Temperature ◽  
Predicted Values ◽  
Artificial Neural Network Ann ◽  
Quercus Infectoria

This current study focuses on the modelling and optimization of supercritical fluid extraction of Quercus infectoria galls oil. In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of galls oil. A 17-run Box-Behnken Design (BBD) was employed to statistically optimize the process parameters of SC-CO2 extraction of Quercus infectoria galls at a condition as follows: pressure (5000, 6000, 7000 Psi), temperature (40, 50, 60°C) and extraction time (30, 45, 60 min). The maximum yield of the extracted oil is1.12 % and the optimum conditions are at an extraction pressure of 5574 Psi; extraction temperature of 75°C and extraction time of 54 min. Under the optimal conditions, the experimental results agree with the predicted values obtained through analysis of variance (ANOVA). This indicates a successful response surface methodology and highly satisfactory goodness of fit of the model used. The analysis of experimental design for process optimization results demonstrates that temperature and extraction time are the main parameters that influence the oil extraction of Quercus infectoria.

Optimization of Microwave Extraction Process by Response Surface Methodology of Flavonoids from Tussilago farfara L.

2013 ◽  
Vol 763 ◽  
pp. 246-249
Author(s):  
Xiao Song ◽  
Peng Zhao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microwave Power ◽  
Extraction Process ◽  
Raw Material ◽  
Extraction Time ◽  
Microwave Extraction ◽  
Water Solvent ◽  
Tussilago Farfara ◽  
Optimum Extraction

Flavonoids from Tussilago farfara L. was extracted with the assistance of microwave.Box-Behnken design (BBD) was employed to optimize extraction time; microwave power and ratio of water to raw material to obtain a high flavonoids yield.The optimum extraction conditions were as follows: 73.3% ethanol-water solvent, time 16.25 min and ratio of solvent to raw material 36.2ml/g.The yield of flavonoids was 11.37% based on the above mentioned conditions.

Research on Biochemical Materials with Optimization of Microwave Extraction Process by Response Surface Methodology of Flavonoids from Platycarya strobi lacea sieb.et zucc.

2014 ◽  
Vol 1014 ◽  
pp. 61-64
Author(s):  
Xiao Song ◽  
Peng Zhao ◽  
Qing Hua Meng ◽  
Zhi Shu Tang ◽  
Chang Li Wang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microwave Power ◽  
Extraction Process ◽  
Raw Material ◽  
Extraction Time ◽  
Microwave Extraction ◽  
Water Solvent ◽  
Optimum Extraction

Flavonoids from Platycarya Strobi lacea Sieb.et Zucc. was extracted with the assistance of microwave.Box-Behnken design (BBD) was employed to optimize extraction time; microwave power and ratio of solvent to raw material to obtain a high flavonoids yield. The optimum extraction conditions were as follows: 65.32% ethanol-water solvent, time 3.96 min and ratio of solvent to raw material 20.8 ml/g.The yield of flavonoids was 3.41% based on the above mentioned conditions.

scholarly journals Pelletization of Sunflower Seed Husks: Evaluating and Optimizing Energy Consumption and Physical Properties by Response Surface Methodology (RSM)

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 591 ◽  
Author(s):  
Xuyang Cui ◽  
Junhong Yang ◽  
Xinyu Shi ◽  
Wanning Lei ◽  
Tao Huang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Moisture Content ◽  
Physical Properties ◽  
Response Surface ◽  
Sunflower Seed ◽  
Biomass Energy ◽  
Raw Material ◽  
The Novel ◽  
Seed Husk

Pelletization is a significant approach for the efficient utilization of biomass energy. Sunflower seed husk is a common solid waste in the process of oil production. The novelty of this study was to determine the parameters during production of a novel pellet made from sunflower seed husk. The energy consumption (W) and physical properties (bulk density (BD) and mechanical durability (DU)) of the novel pellet were evaluated and optimized at the laboratory by using a pelletizer and response surface methodology (RSM) under a controlled moisture content (4%–14%), compression pressure (100–200 MPa), and die temperature (70–170 °C). The results show that the variables of temperature, pressure, and moisture content of raw material are positively correlated with BD and DU. Increasing the temperature and moisture content of raw materials can effectively reduce W, while increasing the pressure has an adverse effect on W. The optimum conditions of temperature (150 °C), pressure (180 MPa), and moisture content (12%) led to a BD of 1117.44 kg/m3, DU of 98.8%, and W of 25.3 kJ/kg in the lab. Overall, although the nitrogen content was slightly high, the novel manufactured pellets had excellent performance based on ISO 17225 (International Organization for Standardization of 17225, Geneva, Switzerland, 2016). Thus, sunflower seed husk could be considered as a potential feedstock for biomass pelletization.

Optimization of Ultrasonic Extraction of Polyphenol from Pinus Koraiensis Bark Using Response Surface Methodology

2011 ◽  
Vol 183-185 ◽  
pp. 1874-1878 ◽  
Author(s):  
Ji Chang Wang ◽  
Zhen Yu Wang ◽  
Zi Luan Fan ◽  
Li Li Zuo ◽  
Shuang Qi Tian ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Processing Parameters ◽  
Ultrasonic Extraction ◽  
Raw Material ◽  
Extraction Time ◽  
Pinus Koraiensis ◽  
Ultrasonic Power

Ultrasonic technology was applied for phenolic compounds extraction from the Pinus koraiensis bark （PKB） and response surface methodology (RSM) was used to optimize the effects of processing parameters on phenolic compounds yields. When ultrasonic power 160W,three independent variables were ultrasonic extraction time (X1 20-40min), ratio of water to raw material (X2 1:20-1:40 g/mL)and ethanol concentration(X3 20％-60％), respectively.The optimal extraction conditions of phenolic compounds were determined as follows: Ultrasonic extraction time 30.61 min, ratio of water to raw material 30.79 mL/g and ethanol concentration 42.2%. Under these conditions, the experimental yield of phenolic compounds was 8.2409 ± 0.0648‰, well matched with the predicted models with the coefficients of determination (R2) of 0.9920, which was agreed closely with the predicted value (8.2963‰).

Optimization of Synthesis Technology of Acetylferrocene by Response Surface Methodology

2012 ◽  
Vol 622-623 ◽  
pp. 162-165
Author(s):  
Da Wei Yin ◽  
Gang Tao Liang ◽  
Xiao Ming Sun ◽  
Yu Ting Liu
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Acetyl Chloride ◽  
Raw Materials ◽  
Raw Material ◽  
Interactive Effects ◽  
Percentage Yield ◽  
Experimental Yield ◽  
Central Composite

Acetylferrocene was synthesized by acetyl chloride and ferrocene as raw materials, dichloromethane as the solvent, and ZnO as catalyst. Response surface methodology based on three-level, three-variable central composite rotable design was used to evaluate the interactive effects of the ratio of acetyl chloride and ferrocene(2-4), the amount of ZnO(1.0-1.3mol), reaction time(30-60 min)on the percentage yield of acylferrocene. The optimal raw material ratio, amount catalyst, and reaction time was 3:1, 1.19mol, 40min. Under the optimum conditions, the actual experimental yield can reach 86.72%.

An Effective Approach Based on Response Surface Methodology for Predicting Friction Welding Parameters

2016 ◽  
Vol 35 (3) ◽  
pp. 235-241
Author(s):  
Sare Celik ◽  
Aslan Deniz Karaoglan ◽  
Ismail Ersozlu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Friction Welding ◽  
Welding Process ◽  
Raw Material ◽  
Maximum Temperature ◽  
Welding Parameters ◽  
Rotating Speed ◽  
Minimum Number ◽  
Normal Carbon

AbstractThe joining of dissimilar metals is one of the most essential necessities of industries. Manufacturing by the joint of alloy steel and normal carbon steel is used in production, because it decreases raw material cost. The friction welding process parameters such as friction pressure, friction time, upset pressure, upset time and rotating speed play the major roles in determining the strength and microstructure of the joints. In this study, response surface methodology (RSM), which is a well-known design of experiments approach, is used for modeling the mathematical relation between the responses (tensile strength and maximum temperature), and the friction welding parameters with minimum number of experiments. The results show that RSM is an effective method for this type of problems for developing models and prediction.

scholarly journals Box-Behnken Experimental Design for Extraction of Spinosin from Ziziphus mauritiana Lam. Seeds

2019 ◽  
Vol 31 (5) ◽  
pp. 1045-1048
Author(s):  
Quang Thuong Tran ◽  
Loan Thi Thanh Vu ◽  
Tram Huyen Le ◽  
Ly Thi Phuong Giang ◽  
Toyonobu Usuki
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Factorial Design ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Raw Material ◽  
Extraction Time ◽  
Ziziphus Mauritiana ◽  
Solid Ratio ◽  
Extraction Parameters

The objective of this study was to evaluate the effects of extraction parameters (ethanol concentration, extraction ratio of solvent to raw material and extraction time) on the yield of spinosin from the seeds of Ziziphus mauritiana Lam. Box-Behnken factorial design was used in association with response surface methodology. The optimal extraction conditions were an ethanol concentration of 61 %, 40 (v/w) liquid-to-solid ratio, and 2.6 h extraction time with reflux. Spinosin was purified using Diaion HP20SS as an adsorbent. The maximum spinosin yield was 1.18 mg/g raw material. Present findings can be applied to future approaches for maximizing the extraction of spinosin from Z. mauritiana Lam. seeds.

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