Investigation of dye removal from textile wastewater by means of response surface method

The main purpose of this article is to apply response surface method to analyze the residual dyes removal independent variables from the experimental data for dye adsorption onto alkali-activated sand as natural adsorbent from textile wastewater. The independent variables are contact time (3–30[Formula: see text]min) and adsorbent dosage (12.5–100[Formula: see text]g) and the dependent variables are percentage of dye removal and dye adsorbed amount per alkali-activated sand as responses. The effect of the variables, their interaction with each other, the fitted model equations, the adequacy and desirability of the model was evaluated by RSM. Response surface method to analyze the residual dyes removal, which resulted in about 70% dye removal and 30 [Formula: see text][Formula: see text]mg/g dye adsorbed, with 0.983 of desirability for fitted model. Finally, the initial dye concentration effect was investigated.

Download Full-text

Application of the response surface method to optimize alkali activated cements based on low-reactivity ladle furnace slag

Construction and Building Materials ◽

10.1016/j.conbuildmat.2020.120271 ◽

2020 ◽

Vol 264 ◽

pp. 120271

Author(s):

Claver Pinheiro ◽

Sara Rios ◽

António Viana da Fonseca ◽

Ana Fernández-Jiménez ◽

Nuno Cristelo

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Ladle Furnace ◽

Surface Method ◽

Furnace Slag ◽

Alkali Activated

Download Full-text

A New Eco-Friendly Porous Asphalt Mixture Modified by Crumb Rubber and Basalt Fiber

Sustainability ◽

10.3390/su11205754 ◽

2019 ◽

Vol 11 (20) ◽

pp. 5754 ◽

Cited By ~ 3

Author(s):

Yongchun Cheng ◽

Chao Chai ◽

Yuwei Zhang ◽

Yu Chen ◽

Bing Zhu

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Asphalt Mixture ◽

Basalt Fiber ◽

Crumb Rubber ◽

High Temperature Stability ◽

Porous Asphalt ◽

Particle Loss ◽

Independent Variables ◽

Surface Method

In this paper, the performance of environmentally friendly porous asphalt mixture was optimized by the response surface method. Taking the asphalt-aggregate ratio, crumb-rubber content, and basalt fiber content as the independent variables, the air void, Marshall stability, flow value, Marshall quotient, and Cantabro particle loss are the response values. The best model was determined by fitting the experimental data. After the influence of the independent variables on the response values was clarified, the models were used to optimize the dosage of the asphalt, crumb rubber, and basalt fiber through comprehensive analysis. The results showed that the application of the response surface method can complete the establishment of the models and the optimization of the performance of the porous asphalt mixture with sufficient accuracy. The optimum dosage of the asphalt to aggregate ratio, crumb rubber, and basalt fiber is 4.51%, 11.21%, and 0.42%, respectively. The high-temperature stability, low-temperature crack resistance, water stability, and Cantabro particle loss resistance of the optimized porous asphalt mixture were effectively improved, which provides a reference for the construction of eco-friendly pavement.

Download Full-text

Application of the response surface method (RSM) to optimize of the conditioning of primitive rye grain krzyca (Secale cereale var. multicaule) before milling

Technical Sciences ◽

10.31648/ts.5450 ◽

2020 ◽

Author(s):

Stanisław Konopka ◽

Beata Piłat

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Falling Number ◽

Independent Variables ◽

Surface Method ◽

Conditioning Process ◽

Grain Moisture ◽

Grain Milling ◽

Dependent Variables ◽

Milling Yield

The aim of the current study is to optimize the conditioning process of a primitive rye called (in Polish) krzyca which has recently been reintroduced to farming. The experiment was conducted according to the Box-Behnken model with three independent variables: the temperature of water used for grain conditioning (10, 15, 20 oC), the duration of the conditioning process (4, 10, 16 h) and the final grain moisture (13, 14, 15 %). In the obtained flours, four dependent variables were determined (time of grain milling, yield of extraction flour, ash content of flour and falling number value). The obtained polynomial equations and response surface method showed on significance of the used ranges of independent values, with the highest impact noted for flour ash and falling number values.

Download Full-text

Activated Carbon Production from Agricultural Biomass Using Response Surface Method (RSM) for Cd (II) Removal

Jurnal Teknologi ◽

10.11113/jt.v69.3144 ◽

2014 ◽

Vol 69 (3) ◽

Author(s):

Mutah Musa ◽

Akira Kikuchi ◽

Zaiton Abdul Majid ◽

Jafariah Jaafar ◽

Mohd Razman Salim

Keyword(s):

Activated Carbon ◽

Response Surface ◽

Response Surface Method ◽

Correlation Coefficients ◽

Good Prospect ◽

Surface Method ◽

Model Equations ◽

Optimized Conditions ◽

Temperature Time

The production of activated carbon (AC) from sugarcane bagasse (SCB) was carried out using central composite design of response surface method to run a limited number of experiments with the possibility of revealing the interaction of three selected factors of temperature, time and nitrogen/steam flowrate at different levels. Two second order quadratic regression model equations were developed using statistical analysis with Design Expert® software. The models were used for the prediction of removal of Cd2+ and carbon yield. Correlation coefficients (R2) were 0.957 for removal and 0.985 for yield, showing the sufficiency of the model in predicting response within 13 experimental runs. Characterization of the product with optimal performance which was produced at 900oC, with nitrogen/steam flow of 100 mL/min and activation time of 30 minutes, was carried out. The performance showed this AC sample was able to remove 62.42% Cd2+ from an aqueous solution with concentration 2 mg/L within 2 hours at optimized conditions. Experimental results indicated that AC from SCB had good prospect for Cd2+ removal.

Download Full-text

Optimization of the Sunset Yellow Dye removal by electrocoagulation using response surface method

Water Science & Technology ◽

10.2166/wst.2021.500 ◽

2021 ◽

Author(s):

Mitra Afshar Moghaddam ◽

Kambiz Seyyedi

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Flow Rate ◽

Current Density ◽

Dye Removal ◽

Electrolysis Time ◽

Optimal Conditions ◽

Sunset Yellow ◽

Surface Method ◽

Effluent Flow Rate

Abstract In recent years, among the various treatment methods, the electrocoagulation process has been used for the treatment of effluents containing various dye pollutants. Sunset yellow (S.Y.) azo dye is one of the common food colors widely used in various food industries. This study investigated the removal of the dye S.Y. from aqueous media by the electrocoagulation method in an electrochemical reactor using concentric iron electrodes. The experiments were designed by the Response Surface Method (RSM) with the help of the Minitab software in such a way that the effect of various process-influencing parameters, such as current density, electrolysis time, electrolyte concentration, pH of the solution, and the effluent flow rate, on the desired pollutant removal efficiency was investigated. According to the results of the process optimization by RSM, the optimal conditions for the process were obtained as follows: pH of 10, current density of 2.65 mA/cm2, electrolysis time of 42.32 min, initial dye concentration of 20 mg/L, and effluent flow rate of 2.5 L/min. Under the above optimal conditions, the efficiency of dye removal was more than 99%.

Download Full-text