Adsorption of Remazol Brillant Green 6B (RBG 6B) on chitin: process optimization using response surface methodology

In the present study, the adsorption of Remazol Brillant Green 6B (RBG 6B) on chitin which characterized by BET, FTIR, XRD and SEM analysis was studied. Response surface methodology (RSM) was applied to determine interaction between solution pH, initial RBG 6B concentration and chitin dosage being individual variables and to optimize operating conditions. According to results of variance analysis (ANOVA), the second order polynomial model was statistically significant (P<0.0001) and coefficient of determination value (R2=0.98) was high. It was determined that dye removal efficiency increased when low solution pH and initial RBG 6B dye concentration and high chitin dosage were used. The maximum dye removal efficiency was obtained as 88% at solution pH of 3.0, initial RBG 6B concentration of 75 mg L-1 and chitin dosage of 5.0 g L-1. The isotherms and kinetics studies showed that Freundlich isotherm and pseudo-second-order kinetics model fitted well to the RBG 6B adsorption data.

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A rapid and efficient removal approach for degradation of metformin in pharmaceutical wastewater using electro-Fenton process; optimization by response surface methodology

Water Science & Technology ◽

10.2166/wst.2019.312 ◽

2019 ◽

Vol 80 (4) ◽

pp. 685-694 ◽

Cited By ~ 8

Author(s):

Maryam Dolatabadi ◽

Saeid Ahmadzadeh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Removal Efficiency ◽

Degradation Mechanism ◽

Pharmaceutical Products ◽

Oh Radicals ◽

Order Kinetic ◽

Pharmaceutical Wastewater ◽

Efficient Removal ◽

Solution Ph

Abstract Presence of emerging contaminants such as pharmaceutical products in aquatic environments has received high concern due to their undesirable effect on wildlife and human health. Current work deals with developing a treatment model based on the electro- Fenton (EF) process for efficient removal of metformin (MET) from an aqueous medium. The obtained experimental results revealed that over the reaction time of 10 min and solution pH of 3, the maximum removal efficiency of 98.57% is achieved where the value of MET initial concentration, current density, and H2O2 dosage is set at 10 mg.L−1, 6 mA.cm−2, and 250 μL.L−1, respectively, which is in satisfactory agreement with the predicted removal efficiency of 98.6% with the desirability of 0.99. The presence of radical scavengers throughout the mineralization of MET under the EF process revealed that the generation of •OH radicals, as the main oxidative species, controlled the degradation mechanism. The obtained kinetics data best fitted to the first order kinetic model with the rate constant of 0.4224 min−1 (R2 = 0.9940). The developed treatment process under response surface methodology (RSM) was employed for modeling the obtained experimental data and successfully applied for efficient removal of the MET contaminant from pharmaceutical wastewater as an adequate and cost-effective approach.

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

Polish Journal of Chemical Technology ◽

10.1515/pjct-2017-0030 ◽

2017 ◽

Vol 19 (2) ◽

pp. 67-71 ◽

Cited By ~ 6

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.

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Optimization of pyrocatechol violet biosorption by Robinia pseudoacacia leaf powder using response surface methodology: kinetic, isotherm and thermodynamic studies

Journal of Water Reuse and Desalination ◽

10.2166/wrd.2015.054 ◽

2015 ◽

Vol 6 (2) ◽

pp. 333-344 ◽

Cited By ~ 1

Author(s):

Neda Khorshidi ◽

Ali Niazi

Keyword(s):

Response Surface Methodology ◽

Factorial Design ◽

Response Surface ◽

Robinia Pseudoacacia ◽

Freundlich Isotherm ◽

Second Order ◽

Full Factorial Design ◽

Order Kinetic ◽

Pyrocatechol Violet ◽

Full Factorial

We have investigated the biosorption of pyrocatechol violet (PCV) from aqueous solutions by Robinia pseudoacacia tree leaves as a low-cost and eco-friendly biosorbent. A full factorial design was performed for screening the main variables and their interactions, which reduces the large total number of experiments. Results of the full factorial design (24) based on an analysis of variance (ANOVA) demonstrated that the initial PCV concentration, contact time, pH and temperature are statistically significant. Box-Behnken design, a response surface methodology, was used for further optimization of these selected factors. The ANOVA and some statistical tests such as lack-of-fit and coefficient of determination (R2) showed good fit of the experimental data to the second-order polynomial model. The Langmuir and Freundlich isotherm models were used to describe the equilibrium isotherms. Equilibrium data fitted well with the Freundlich isotherm model (R2 > 0.97). In addition, thermodynamic parameters (ΔG°, ΔH° and ΔS°) were calculated, these parameters show that the biosorption process was spontaneous (ΔG° = −2.423) and exothermic (ΔH° = −9.67). The biosorption kinetic data were fitted with the pseudo-second-order kinetic model (R2 > 0.999). These results confirm that R. pseudoacacia leaves have good potential for removal of PCV from aqueous solution.

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Optimization of Methylene Blue Adsorption on Agricultural Solid Waste Using Box–Behnken Design (BBD) Combined with Response Surface Methodology (RSM) Modeling

Biointerface Research in Applied Chemistry ◽

10.33263/briac124.45674583 ◽

2021 ◽

Vol 12 (4) ◽

pp. 4567-4583

Keyword(s):

Methylene Blue ◽

Response Surface Methodology ◽

Response Surface ◽

Contact Time ◽

Organic Dyes ◽

Low Cost ◽

Sem Analysis ◽

Solution Ph ◽

Box Behnken Design ◽

Mb Adsorption

Tunics corm saffron (TCS) is a low-cost adsorbent that removes methylene blue (MB) from an aqueous solution. The TCS was characterized using FTIR and SEM analysis. The influence of MB adsorption variables such as TCS dose (0.4–2.4 g L−1), contact time (0–120 min), MB dye concentration (100–500 mg L−1) was optimized Box–Behnken design (BBD) combined with response surface methodology (RSM) modeling. All three variables among the main parameters significantly affected the removal efficiency by applying the quadratic regression analysis. The results showed that the predicted values for MB adsorption were close to the experimental values and were in good agreement. Besides, the r2 value (r2=0.970) indicates that the regression can predict response for the adsorption process in the studied range. The optimum BBD-RSM for MB removal of 89.48 % was recorded at a TCS dose of 1.78 g L−1, contact time of 56 min, MB dye concentration of 176 mg L–1 at solution pH of 5.4 temperature 21 °C. Excellent regeneration of TCS to remove MB in sixth consecutive adsorption-desorption cycles. This work highlights that TCS offers tremendous potential as a low-cost for organic dyes removal from wastewaters.

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Intensification of Azo Dye Removal Rate in the Presence of Immobilized Nanoparticles and Inorganic Anions under UV-C Irradiation: Optimization by Response Surface Methodology

International Journal of Photoenergy ◽

10.1155/2013/289290 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Mohammad A. Behnajady ◽

Mahsa Hajiahmadi

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Azo Dye ◽

Dye Removal ◽

Removal Rate ◽

Organic Pollutant ◽

Inorganic Anions ◽

Coefficient Of Determination ◽

Synergy Effect ◽

Uv C

Wastewaters contain inorganic anions that affect the removal rate of organic pollutants. The present study aims to optimize the effects of inorganic anions such as , Cl−, , and on the removal rate of an organic pollutant in the presence of immobilized TiO2nanoparticles using response surface methodology (RSM). C.I. Acid Red 17 (AR17) was used as a model organic pollutant. Thirty experiments were required to study the effects of anions in various concentrations. The results indicate that the addition of and ions intensifies the removal rate of AR17. The results of the analysis of variance (ANOVA) showed a high coefficient of determination value ( and ). The results indicate that RSM is a suitable method for modeling and optimizing the process. The results prove that in the presence of and and ions especially in the combination situation the removal rate of AR17 is enhanced considerably. An important synergy effect was observed in the combination of and ions, so that AR17 removal percent under the optimized RSM conditions was considerably more than the sum of removal percent when these ions are used individually.

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Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites

Scientific Reports ◽

10.1038/s41598-021-95649-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Siroos Shojaei ◽

Saeed Shojaei ◽

Shahab S. Band ◽

Amir Abbas Kazemzadeh Farizhandi ◽

Milad Ghoroqi ◽

...

Keyword(s):

Response Surface Methodology ◽

Taguchi Method ◽

Response Surface ◽

Malachite Green ◽

Dye Removal ◽

Environmental Water ◽

Operating Conditions ◽

Auramine O ◽

Quadratic Models ◽

Maximum Removal

AbstractIn the present study, the simultaneous removal of malachite green (MG) and auramine-O (AO) dyes from the aqueous solution by NaX nanozeolites in a batch system is investigated. Taguchi method and response surface methodology (RSM) were used to optimize and model dye removal conditions. In order to do so, the effect of various factors (dyes concentration, sonication time, ionic strength, adsorbent dosage, temperature, and pH of the solution) on the amount of dye removal was evaluated by the Taguchi method. Then, the most important factors were chosen and modeled by the RSM method so as to reach the highest percentage of dye removal. The proposed quadratic models to remove both dyes were in good accordance with the actual experimental data. The maximum removal efficiencies of MG and AO dyes in optimal operating conditions were 99.07% and 99.61%, respectively. Also, the coefficients of determination (R2) for test data were 0.9983 and 0.9988 for MG and AO dyes, respectively. The reusability of NaX nanozeolites was evaluated during the adsorption process of MG and AO. The results showed that the adsorption efficiency decreases very little up to five cycles. Moreover, NaX nanozeolites were also applied as adsorbents to remove MG and AO from environmental water samples, and more than 98.1% of both dyes were removed from the solution in optimal conditions.

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Modeling of nitrate removal from aqueous solution by Fe-doped TiO2 under UV and solar irradiation using response surface methodology

Global NEST Journal ◽

10.30955/gnj.001577 ◽

2015 ◽

Vol 17 (2) ◽

pp. 379-388 ◽

Cited By ~ 3

Keyword(s):

Aqueous Solution ◽

Response Surface Methodology ◽

Solar Radiation ◽

Response Surface ◽

Removal Efficiency ◽

Nitrate Removal ◽

Operating Conditions ◽

Solar Irradiation ◽

Design Matrix ◽

Statistical Tool

<div> Nitrate is a common groundwater pollutant all over the world. In some regions of Iran, its levels are high enough to cause serious problems to human health and the environment. The objectives of this work were to evaluate the efficiency of Fe-doped TiO2 nanoparticles at removing nitrate from aqueous solutions under UV and solar radiation and to model nitrate removal using response surface methodology techniques. In this study, a response surface methodology based on the Box–Behnken design matrix was used to describe the process of nitrate removal from an aqueous solution with four independent parameters, namely Fe-doped TiO2 (dose 1-2 g l-1), nitrate concentration (25-100 mg l-1), contact time (10-120 min), and pH (4-9). The results indicated that the removal efficiency of nitrate in the presence of ultraviolet and solar radiation was 56.5 % and 21.8%, respectively. The removal efficiency of nitrate increased with time and initial concentration of nitrate. Analysis of variance (ANOVA) indicated that the proposed model was essentially in accordance with the experimental results with the correlation coefficient R2 = 0.9237 and Adj-R2 = 0.8347. Response surface methodology (RSM) proved to be a powerful statistical tool for investigating the operating conditions for nitrate removal under UV irradiation. </div>

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Green-extraction of essential oil of the species Ruta chalepensis L.: gas chromatography-mass spectroscopy-infra red analysis and response surface methodology optimization

Acta Scientifica Naturalis ◽

10.2478/asn-2019-0021 ◽

2019 ◽

Vol 6 (2) ◽

pp. 88-109

Author(s):

Mohamed Djermane ◽

Abdenabi Abidi ◽

Amani Chrouda ◽

Noureddine Gherraf ◽

Messaoud Ramdani ◽

...

Keyword(s):

Gas Chromatography ◽

Response Surface Methodology ◽

Essential Oil ◽

Response Surface ◽

Water Flow Rate ◽

Second Order ◽

Operating Conditions ◽

Mass Spectrometry Analysis ◽

Ruta Chalepensis ◽

Order Polynomial

Abstract The objective of the present study was the optimization of the parameters affecting the hydrodistillation of Ruta chalepensis L. essential oil using response surface design type Box-Behnken. After an appropriate choice of three parameters, 15 experiments were performed leading to a mathematical second-degree model relating the response function (yield of essential oil) to parameters and allowing a good control of the extraction process. The realization of the experiments and data analysis was carried out by response surface methodology (RSM). A deduced second-order polynomial expression was used to determine the optimal conditions necessary to obtain a better essential oil yield. These optimized operating conditions were: a granulometry of 2 mm, a condensation-water flow rate of 3.4 mL/min and an extraction time of 204 min. Analysis of variance (ANOVA) indicates that the generated second-order polynomial model was highly significant with R2=0.9589 and P<0.006. The gas chromatography-mass spectrometry analysis of essential oil extracted from the Ruta chalepensis L. aerial parts revealed the presence of 2-undecanone, 2-nonanone and 2-decanone as major components.

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Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology

Advances in Materials Science and Engineering ◽

10.1155/2021/1535823 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

R. Gokulan ◽

S. Balaji ◽

P. Sivaprakasam

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Dye Removal ◽

Regression Coefficient ◽

Process Conditions ◽

Waste Biomass ◽

Solution Ph ◽

Box Behnken Design ◽

Remazol Black B ◽

Remazol Black

Optimization of process conditions for the removal of Remazol Black B was investigated using response surface methodology (Box–Behnken design). The biodecolorization of dye was studied using biochar produced from waste biomass of Caulerpa scalpelliformis (marine seaweeds). The reactions were optimized by varying sorbent dosage, solution pH, temperature, and initial dye concentration. The results indicated that dye removal efficiency of 80.30% was attained at an operating condition of 4 g/L (sorbent dosage), 2.0 (solution pH), 35°C (temperature), and 0.25 mmol/L (initial dye concentration). The regression coefficient of the developed model was calculated to be 97% which shows good fit of the model.

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Arsenic removal by the micellar-enhanced ultrafiltration using response surface methodology

Water Science & Technology Water Supply ◽

10.2166/ws.2019.188 ◽

2019 ◽

Vol 20 (2) ◽

pp. 574-585 ◽

Cited By ~ 1

Author(s):

Oznur Begum Gokcek ◽

Nigmet Uzal

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Removal Efficiency ◽

Surfactant Concentration ◽

Arsenic Removal ◽

Operating Conditions ◽

Optimum Operating ◽

Micellar Enhanced Ultrafiltration ◽

The Impact

Abstract The present research investigates the removal of arsenic (As) from aqueous solutions using micellar-enhanced ultrafiltration (MEUF) by utilizing two different surfactants: benzethonium chloride and dodecyl pyridinium chloride (BCl and DPCl). The impact of the operating variables and maximum removal efficiency were found under different conditions for BCl and DPCl surfactants. The maximum As rejection efficiency for MEUF with BCl and DPCl surfactants is 92.8% and 84.1%, respectively. In addition to this, a statistics-based experimental design with response surface methodology was used for the purpose of examining the impact of operating conditions, including initial pH, initial As concentration (ppb), and surfactant concentration (BCl, mM) in As-removal from aqueous solutions. In the analysis of the experimental data, a second-order polynomial model that was validated by statistical analysis for the BCl surfactant was used. On the basis of the response model created, the removal of As ions was acquired at optimum operating parameters, including the initial As concentration of 150 ppb, surfactant concentration of 5 mM and pH 10 for the BCl surfactant with 92.8% As-removal efficiency.

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