Response Surface Methodology For Removal Research Articles

Use of oak acorns adsorbent and response surface methodology for removal of crystal violet from aqueous solution

ABSTRACTThis study investigates the potential use of oak acorn pericarp powder as an effective adsorbent for removing crystal violet from aqueous solutions under citric acid activation. Various analytical techniques, including FTIR, EDS, and SEM, were used to examine the characteristics of the adsorbent obtained. Throughout the experiments, parameters such as adsorbent quantity, solution pH, and initial dye concentration were meticulously taken into account. To optimise this removal process, a customised experimental approach based on response surface methodology (RSM) was adopted, involving the performance of 20 series of experiments to assess the influence of key variables, including adsorbent dose (A), pH (B), and initial dye concentration (C), as well as their interactions. Statistical analysis reveals the high significance of the elimination model, supported by an extremely low probability value (p < 0.0001). Notably, increasing adsorbent mass and solution pH leads to higher rates of crystal violet removal. Conversely, as the initial dye concentration increases, the removal rate decreases. Furthermore, the interaction between these variables does not appear to have a significant influence. Under optimal conditions, a remarkable elimination rate of 99.96% was achieved. This involved a solution with an initial pH of 10.82, an adsorbent dose of 28.5 mg, and an initial dye concentration of 17.8 mg/L. The kinetics of crystal violet adsorption onto the adsorbent were effectively described by a pseudo-second-order equation. Additionally, the optimal multilayer uptake capacity of OA@CA for CV dye was determined to be 135.9 mg.g−1, and the Freundlich model demonstrated a significantly better fit to the experimental results when compared to the Langmuir model.

Optimization of Response Surface Methodology for Removal of Cadmium Ions from Wastewater using Low Cost Materials

Optimization of Response Surface Methodology for Removal of Cadmium Ions from Wastewater using Low Cost Materials

Response surface methodology for removal of copper (II) ions from aqueous solutions by DMSA@SiO2@Fe3O4 nanocomposite

Response surface methodology for removal of copper (II) ions from aqueous solutions by DMSA@SiO2@Fe3O4 nanocomposite

Response surface methodology for removal of methyl violet dye using Albizia stem bark Lebbeck modified by Fe2(MoO4)3 nanocomposite from aqueous solutions and assessment relative error by neural network model

Response surface methodology for removal of methyl violet dye using Albizia stem bark Lebbeck modified by Fe2(MoO4)3 nanocomposite from aqueous solutions and assessment relative error by neural network model

Properties Tuning of Palm Kernel Shell Biochar Granular Activated Carbon Using Response Surface Methodology for Removal of Methylene Blue

This study aimed to produce palm kernel shell granular activated carbon (PKSGAC) from slow vacuum pyrolysed PKS biochar (PKSB) via chemical activation using a horizontal tubular split zone furnace. The study also investigated the effects of varying parameters of the PKSGAC on its colour removal ability. The PKSB was activated through chemical activation using potassium hydroxide (KOH) at various parameters such as activation temperature (700oC to 850oC), KOH concentration (50 % w/v to 100 % w/v) and particle size of PKSB (0.4 mm to 2.5 mm). The novelty of this work lies in the study of chemical activation on various particle size ranges using response surface methodology (RSM) to model the relationships between various parameters. The PKSB was characterized to determine its thermal condition, and the PKSGAC was characterized to determine the iodine number, bulk density, ash content, moisture content, surface area and morphology structure. The parameters that were used for each sample were determined by using the RSM based on central composite design (CCD). In this study, design expert version 11.0 software was used and three parameters as independent variables were manipulated. Finally, three different PKSGAC samples of different particle sizes were used to test for the methylene blue (MB) dye removal with the concentration of 5 mg/l, 10 mg/l, 15 mg/l and 20 mg/l. Thermal analysis showed that the total weight loss of the PKSB sample was 58.30% and for PKSGAC the range of the product yield as shown from the RSM was from 33.23% to 96.33%. The RSM also showed that the values for moisture content were in a range from 0% - 39%, as for the ash content value from 2% - 12%, while for the bulk density ranged from 0.17 g/cm3 - 0.50 g/cm3. The highest iodine value achieved was 1320 mg/g at activation temperature of 850oC, KOH concentration of 50% w/v and particle size of 0.4 mm. From the RSM, an iodine number of 1100 mg/g could be obtained using an activation temperature of 850oC, the KOH concentration of 69.22% w/v and the particle size of 0.59 mm. From the BET analysis, the PKSGAC sample obtained 581 m2/g for SBET and 0.3173 cm3/g for the Vtot. The highest percentage dye removal of MB dye was 89.61% to 97.63% at 775oC activation temperature, 75% w/v KOH concentration and 0.4 mm particle size. This work produced RSM models to predict the relationships between the parameters and the response, as well as the performance on MB dye removal.

Application of Response Surface Methodology for Removal of Remazol Yellow (RR) by Immobilised S. cerevisiae on Pumice Stone

In this study, Remazol Yellow (RR) removal was investigated by Saccharomyces cerevisiae immobilized on pumice stone. For the immobilization process, a new technic was used and immobilization matrix HCl pretreated pumice stone was added to the growth medium of microorganism. pH, initial biosorbent (Co), and dye concentration (Cb) effect on biosorption were optimized through the Response Surface Methodology (RSM) and the second-order quadratic model was used to describe the effects of parameters successfully. At optimum conditions pH 3, Cb 2.5 g/L, C0 400 ppm maximum dye removal was 99%, and 140 mg/g capacity was cached. When pumice stone, HCl treated pumice stone and Saccharomyces cerevisiae were used in biosorption experiments directly 44%, 69%, 75% dye removal was obtained respectively. 0.5 M NaOH (pH 13.69) and water (pH 8) were chosen as a desorption agent for the immobilized biosorbent. Desorption efficiency was found 21% with 0.5 M NaOH and 1.5% with water (pH 8). The characterization studies were performed by using Scanning Electron Microscope (SEM) and Fourier Transformer InfraRed (FT-IR) spectroscopy. The results indicate that immobilized biosorbent is a promising alternative for the biosorption of Remazol Yellow (RR) from aqueous solutions.

Response Surface Methodology for removal of Biological Oxygen Demand (BOD) through RBC

Response Surface Methodology for removal of Biological Oxygen Demand (BOD) through RBC

Optimization of Preparation Conditions of Novel Adsorbent from Sugar Scum Using Response Surface Methodology for Removal of Methylene Blue

A novel and inexpensive adsorbent was prepared from sugar scum for the removal of methylene blue as an organic pollutant from aqueous solutions. The response surface methodology was used to study the effects of the calcination temperature and time on the yield and the methylene blue adsorption. In order to determine the optimal conditions of the preparation, the Doehlert design and desirability function were applied. The increase in calcination temperature increases the methylene blue adsorption and induces a reduction in yield. The optimal conditions have been identified to be a calcination temperature of 986°C and calcination time of 61 min. The characteristics of the obtained adsorbent were determined using SEM/EDX, and surface functions were obtained based on FTIR and pHpzc. The produced adsorbent had a porous structure and a pHpzc of 12.5. The results showed that the yield was 49.74% and the adsorption of methylene blue was 24.52 mg·g−1 with a contact time of 10 h determined by kinetic test. The sugar scum was found to be an effective material for the preparation of appropriate adsorbent for dye removal from wastewater.

UV/H2O2 oxidation process optimization by response surface methodology for removal of polycyclic aromatic hydrocarbons (PAHs) from water

UV/H2O2 oxidation process optimization by response surface methodology for removal of polycyclic aromatic hydrocarbons (PAHs) from water

Experimental Design Approach with Response Surface Methodology for Removal of Indigo Dye by Electrocoagulation

Treatment of Indigo dye (leuco form), reduced in the industrial conditions of the SITEX (Textile Industrial Company), by a batch electrocoagulation using aluminum electrodes. Response Surface Methodology (RSM) and Box-Behnken design were used to optimize for Color Removal (CR(%)). Our results showed that the quadratic second order equation provided the best correlation for the decolorization of Indigo dye (CR(%)). On the other hand, the ANOVA analysis proved the large interaction between the current intensity and the initial concentration of the dye. Experiments were conducted to find the desired conditions for removal of particular concentration of the dye and lower Operation Cost. The results showed that CR(%) = 88.3% (R2) of color removal for initial dye concentration of 12.31 mg/l, with a current density of 2.81 A/m2, solution concentration of NaCl of 2.67 g/l. Under these conditions, Electrical Energy Consumption (EEC) and Electrode Consumption (EMC) and Operation Cost were 0.01999 kWh/m3 (R2 = 93.1%), 0.00142768 Kg/m3 (R2 = 79.4%) and 0.000558 US$/m3, respectively.

Synthesis and optimization of soy protein fiber based graft copolymer through response surface methodology for removal of oil spillage

Present study deals with the development of novel biodegradable polymer device for petroleum fraction removal from different petroleum-saline emulsion. Soy protein fiber was graft copolymerized with poly(methylmethacrylate) using sequential experimental design approach. Six process variables, such as solvent amount, monomer concentration, FAS:KPS ratio, reaction time, reaction temperature, and pH were taken at two levels as per Resolution-V design. Significant process variables were monomer concentration, reaction temperature, and pH. In phase-2, screened variables were taken for model building and optimization as per optimal response surface design. At optimum conditions (monomer concentration: 3.10 mmol L−1; reaction temperature: 84.2 °C; pH 6.03), the graft percentage was found to be 272 %. Graft copolymer was characterized using FTIR, SEM, TGA, DTA, and DTG techniques. Further, graft copolymer was evaluated for acid–base and moisture resistance behavior. The synthesized soy protein fiber based polymer showed 76–70 % petroleum fraction absorption from different petroleum-saline emulsions.

Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

In this study, a simple and fast method for preconcentration and determination of trace amount of methylene blue (MB) from water samples was developed by silver nanoparticles based solid-phase extraction method and UV–Vis spectrophotometry. Response surface methodology and hybrid of artificial neural network- particle swarm optimization (ANN-PSO) have been used to develop predictive models for simulation and optimization of solid phase extraction method. Under the optimum conditions, the detection limit and relative standard deviation were 15.0μgL−1 and <2.7%, respectively. The preconcentration factor was 83. The method was applied to preconcentration and determination of methylene blue from water samples.