scholarly journals Multivariate Optimization of Pb2+ Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology

Molecules ◽  
2021 ◽  
Vol 26 (21) ◽  
pp. 6477
Author(s):  
Yohanis Birhanu ◽  
Seyoum Leta
Keyword(s):  
Central Composite Design ◽  
Response Surface ◽  
Removal Efficiency ◽  
Interaction Effect ◽  
Contact Time ◽  
Low Cost ◽  
Design Model ◽  
Lead Ions ◽  
Experimental Result ◽  
Central Composite

Lead pollution is a severe health concern for humankind. Utilizing water contaminated with lead can cause musculoskeletal, renal, neurological, and fertility impairments. Therefore, to remove lead ions, proficient, and cost-effective methods are imperative. In this study, the Odaracha soil which is traditionally used by the local community of the Saketa District was used as a novel low-cost technology to adsorb lead ions. Odaracha adsorbent was characterized by scanning electron microscopy and Fourier transform infrared spectroscopy. The adsorption process followed the batch adsorption experiment. The response surface method was implemented to derive the operating variables’ binary interaction effect and optimize the process. According to the study’s experimental result, at optimum experimental conditions Odaracha adsorbent removes 98.17% of lead ions. Based on the result of the central composite design model, the Pb2+ ion removal efficiency of Odaracha was 97.193%, indicating an insignificant dissimilarity of the actual and predicted results. The coefficient of determination (R2) for Pb2+ was 0.9454. According to the factors’ influence indicated in the results of the central composite design model, all individual factors and the interaction effect between contact time and pH has a significant positive effect on lead adsorption. However, other interaction effects (contact time with dose and pH with dose) did not significantly influence the removal efficiency of lead ions. The adsorption kinetics were perfectly fitted with a pseudo-second-order model, and the adsorption isotherm was well fitted with the Freundlich isotherm model. In general, this study suggested that Odaracha adsorbent can be considered a potential adsorbent to remove Pb2+ ions and it is conceivable to raise its effectiveness by extracting its constituents at the industrial level.

Synthesis, characterization and application of cyclam-modified magnetic SBA-15 as a novel sorbent and its optimization by central composite design for adsorption and determination of trace amounts of lead ions

RSC Advances ◽  
2016 ◽  
Vol 6 (110) ◽  
pp. 108477-108487 ◽  
Author(s):  
Rouholah Zare-Dorabei ◽  
Maryam Shamsedini Darbandsari ◽  
Ali Moghimi ◽  
Mahnaz Saghanejhad Tehrani ◽  
Samaneh Nazerdeylami
Keyword(s):  
Central Composite Design ◽  
Low Cost ◽  
Lead Ions ◽  
Central Composite

A new, efficient, selective and relatively low cost adsorbent was developed based on Fe3O4@cyclam-SBA-15 for adsorption and determination of lead ions.

scholarly journals Optimization of malachite green dye removal by sepiolite clay using a central composite design

2014 ◽  
Vol 16 (2) ◽  
pp. 339-347 ◽  
Keyword(s):  
Central Composite Design ◽  
Malachite Green ◽  
Removal Efficiency ◽  
Contact Time ◽  
Dye Adsorption ◽  
Malachite Green Dye ◽  
Initial Ph ◽  
Quadratic Effects ◽  
The Individual ◽  
Central Composite

<div> <p>In this study, a four-factor five-level Central Composite Design (CCD) was applied to develop mathematical model and optimize process parameters for malachite green dye (MG) removal from aqueous solutions using sepiolite. The individual, combined, and quadratic effects of four experimental factors (initial pH of solution, contact time, initial dye concentration, and sepiolite dosage) on dye adsorption were studied. Based on the analysis of variance (ANOVA) results, the order of factors from high to low contribution on removal efficiency was found as&nbsp; initial dye concentration, sepiolite dosage, initial dye concentration*initial dye concentration, sepiolite dosage*sepiolite dosage, and contact time with respect to sum of squares. Optimization results showed that the optimal settings for significant experimental factors were initial dye concentration= 77 mg l<sup>-1</sup>, sepiolite dosage= 26 g l<sup>-1</sup>, and contact time= 42 min. At this setting, predicted maximum removal efficiency was over 99%.&nbsp;</p> </div> <p>&nbsp;</p>

scholarly journals Optimization of Crude Oil Biodegradation of Fungi Isolated from Refinery Effluent Site using Response Surface Methodology

2021 ◽  
Vol 17 (4) ◽  
pp. 257-268
Author(s):  
U.C. Odili ◽  
F.B. Ibrahim ◽  
E.M. Shaibu-modagbe ◽  
H.I. Atta
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Experimental Result ◽  
Oil Removal ◽  
Refinery Effluent ◽  
Response Surface Optimization ◽  
Crude Oil Removal

The activities involved in the production and exploration of crude oil has constantly polluted the environment. This study investigated the ability of an indigenous fungus to utilize petroleum hydrocarbon. Response Surface Methodology was used to optimize the effects of pH, microbial concentration (spores/ml), and contact time (days) on the crude oil removal efficiency in refinery effluent. Monocillium sp. was isolated and used for the treatment of refinery effluent due to its predominance in the contaminated soil. Twenty experimental runs were analyzed to determine the effect of pH, microbial concentration and contact time on the oil removal efficiency. From theexperimental results obtained, a maximum oil removal efficiency of 98.42 % was achieved at a pH of 6.5, contact time of 14 days, and a microbial concentration of 3 spores/ml. The results obtained showed the percentage of crude oil removal in the effluent sample  increased with an increase in time. Optimization of the experimental result was achieved at a removal efficiency of 98.59 %, a contact time of 13.96 days, a pH of 6.85, and a microbial concentration of 3.01 spores/ml. The findings of this study revealed that Monocillium sp. is a viable hydrocarbon degrader, and can be used in the bioremediation of petroleum contaminated environments. Keywords: Response surface, optimization, bioremediation, hydrocarbon, removal efficiency, Monocillium sp.

scholarly journals The Application of Response Surface Methodology for Lead Ion Removal from Aqueous Solution Using Intercalated Tartrate-Mg-Al Layered Double Hydroxides

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yamin Yasin ◽  
Maszlin Mohamad ◽  
Faujan B. H. Ahmad
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Lead Ions ◽  
Lead Ion ◽  
Central Composite Rotatable Design ◽  
Solution Ph ◽  
Optimization Parameters ◽  
Central Composite

Layered double hydroxide intercalated with tartrate (tartrate-Mg-Al) was used as an adsorbent to remove lead ions from aqueous solutions. The effects of various optimization parameters such as contact time, solution pH, lead ion concentrations, and adsorbent dosage were investigated by the use of Response Surface Methodology (RSM). The Response Surface Methodology (RSM) based on a four-level four-variable Central Composite Rotatable Design (CCRD) was employed to evaluate the interactive effects of the various optimization parameters. The parameters were contact time (6–10 h), solution pH (1–3), adsorbent dosage (0.06–0.1 g), and lead ion concentrations (10–30 mg/L). The percentage of lead ions removal for each of the parameters studied was determined by Inductively Coupled Plasma-Optical Emission Spectrophotometer. Simultaneously by increasing contact time and amount of dosage of tartrate-Mg-Al used the percentage of lead ions removal from aqueous solution will increase; however, the percentage removal decreases with an increase in pH and concentrations of lead ions. The experimental percentage removal recorded under optimum conditions was compared well with the maximum predicted value from the RSM, which suggest that Central Composite Rotatable Design of RSM can be used to study the removal of lead from aqueous solution by the use of tartrate-Mg-Al as an adsorbent.

Response surface central composite design optimization of soluos dumpsite leachate treatment using agricultural biowaste

2021 ◽  
Vol 1 (2) ◽  
pp. 026-034
Author(s):  
Lukumon Salami ◽  
Lukman Bakare
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Design Optimization ◽  
Response Surface ◽  
Contact Time ◽  
Second Order ◽  
Coefficient Of Determination ◽  
Leachate Treatment ◽  
Percentage Removal ◽  
Central Composite

Process optimization plays a very important role in the process industries as it helps to miximise desire output by minimizing the cost of process variables. The aim of this work is to carry out response surface central composite design optimization of Soluos dumpsite leachate treatment using agricultural biowaste. Leachate collected from Soluos dumpsite in Lagos was treated using adsorbent prepared from Muas sapientum peels by studying the effects of adsorbent dosage and contact time on the percentage removal of total dissolved solids (TDS) with the aid of design expert software version 10.0.3. The developed second order regression model was adopted in comparison with the linear and two factor interaction ( ) model based on its coefficient of determination (R2) value and its adequacy by analysis of variance (ANOVA). 80.34 percentage removal of TDS was achieved under experimental process at contact time of 120 mins and dosage of 1 g/100mL while 81.134 percentage removal of TDS was obtained under simulation process at contact time of 63.469 mins and dosage of 0.994 g/100 mL. the values obtained under simulation condition were adopted as the optimum conditions. The developed second order regression model predicted the experimental data up to 98.10 percent confidence level hence it is a true representation of the treatment process and can be used to navigate the design space and optimization process of treatment of Soluos dumpsite leachate.

scholarly journals Optimization of Electrocoagulation Conditions for the Purification of Table Olive Debittering Wastewater Using Response Surface Methodology

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1687
Author(s):  
Razieh Niazmand ◽  
Moslem Jahani ◽  
Farzaneh Sabbagh ◽  
Shahabaldin Rezania
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Central Composite Design ◽  
Response Surface ◽  
Removal Efficiency ◽  
Current Density ◽  
Quadratic Polynomial ◽  
Total Phenolic ◽  
Square Root ◽  
Central Composite

In the present study, the optimization of electrocoagulation (EC) conditions for the purification of olive debittering wastewater (ODW) was investigated by response surface methodology (RSM). For this purpose, a central composite design (CCD) was employed to optimize the process variables including current density (3.0–30.0 mA/cm2) and EC time (10.0–60.0 min). The results showed a significant effect of current density and EC time on the removal efficiency of total phenolic compounds (TPC) and chemical oxygen demand (COD). The best models obtained using the central composite design were quadratic polynomial for TPC (R2 = 0.993), COD (R2 = 0.982), and the inverse square root of turbidity (R2 = 0.926). Additionally, the square root of electrode consumption and energy consumption were appropriately fitted to the two-factor interaction (2FI) model (R2 = 0.977) and quadratic polynomial (R2 = 0.966) model, respectively. The predicted optimum conditions based on the highest removal efficiency for TPC were a current density of 21.1 mA cm−2 and an EC time of 58.9 min, in which the obtained model predicted 82.6% removal for TPC. This prediction was in agreement with the laboratory result (83.5%). The amount of energy consumption and the operating cost in these conditions was estimated to be 14.92 kWh and USD 6.49 m−3 per ODW, respectively.

scholarly journals Optimization of photocatalytic degradation of naproxen from aqueous solutions with UV/ZnO process: Response Surface Methodology (RSM)

2020 ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Order Model ◽  
First Order ◽  
Concentration Time ◽  
Central Composite

<p>The aim of this study was to optimize the removal of Naproxen (NPX) by the UV/ZnO photocatalytic process using response surface methodology based on Central Composite Design (CCD). The effect of parameters such as ZnO concentration, contact time, pH, temperature, and initial NPX concentration were studied. The ANOVA results indicated high coefficient values of adjusted R2 (0.9843) and predicted R2 (0.9695). The quadratic model with the highest R-squared designation was chosen to predict the NPX removal efficiency of the UV/ZnO process. Under optimal conditions that include an optimum initial NPX concentration of 21.59 mg/L, ZnO concentration of 371.15 mg/L, contact time of 73.92 min, pH of 6.87, and temperature of 24.35°C, a NPX removal efficiency value of 71.19% was obtained. The results show that the removal of NPX is most affected by the variables- initial NPX concentration, time, pH, and ZnO concentration, respectively, but temperature as a variable does not have a significant effect on the efficiency of the process. Moreover, the NPX photodegradation kinetics can be explained through the pseudo-first-order model. The UV/ZnO photocatalytic method has high potential for the removal of NPX, and that CCD is an appropriate method to optimize the operating conditions for NPX photodegradation.</p>

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