Which is better for optimizing the biosorption process of lead – central composite design or the Taguchi technique?

2016 ◽  
Vol 74 (6) ◽  
pp. 1446-1456 ◽  
Author(s):  
Ali Azari ◽  
Alireza Mesdaghinia ◽  
Ghader Ghanizadeh ◽  
Hossein Masoumbeigi ◽  
Meghdad Pirsaheb ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Removal Efficiency ◽  
Chemical Engineering ◽  
Three Dimensional ◽  
Taguchi Technique ◽  
Biosorption Process ◽  
Contour Plots ◽  
Face Centered ◽  
Central Composite ◽  
Experimental Runs

The aim of this study is to evaluate central composite design (CCD) and the Taguchi technique in the adsorption process. Contact time, initial concentration, and pH were selected as the variables, and the removal efficiency of Pb was chosen for the designated response. In addition, face-centered CCD and the L9 orthogonal array were used for the experimental design. The result indicated that, at optimum conditions, the removal efficiency of Pb was 80%. However, the value of R2 was greater than 0.95 for both the CCD and Taguchi techniques, which revealed that both techniques were suitable and in conformity with each other. Moreover, the results of analysis of variance and Prob > F < 0.05 showed the appropriate fit of the designated model with the experimental results. The probability of classifying the contributing variables by giving a percentage of the response quantity (Pb removal) made the Taguchi model an appropriate method for examining the effectiveness of different factors. pH was evaluated as the best input factor as it contributed 66.2% of Pb removal. The Taguchi technique was additionally confirmed by three-dimensional contour plots of CCD. Consequently, the Taguchi method with nine experimental runs and easy interaction plots is an appropriate substitute for CCD for several chemical engineering functions.

scholarly journals A Comparison of Central Composite Design and Taguchi Method for Optimizing Fenton Process

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Anam Asghar ◽  
Abdul Aziz Abdul Raman ◽  
Wan Mohd Ashri Wan Daud
Keyword(s):  
Taguchi Method ◽  
Central Composite Design ◽  
Chemical Engineering ◽  
Suitable Alternative ◽  
Decolorization Efficiency ◽  
Contour Plots ◽  
Percent Contribution ◽  
Input Variables ◽  
Face Centered ◽  
Central Composite

In the present study, a comparison of central composite design (CCD) and Taguchi method was established for Fenton oxidation.Dyeini, Dye : Fe+2, H2O2 : Fe+2, and pH were identified control variables while COD and decolorization efficiency were selected responses.L9orthogonal array and face-centered CCD were used for the experimental design. Maximum 99% decolorization and 80% COD removal efficiency were obtained under optimum conditions.Rsquared values of 0.97 and 0.95 for CCD and Taguchi method, respectively, indicate that both models are statistically significant and are in well agreement with each other. Furthermore, Prob >Fless than 0.0500 and ANOVA results indicate the good fitting of selected model with experimental results. Nevertheless, possibility of ranking of input variables in terms of percent contribution to the response value has made Taguchi method a suitable approach for scrutinizing the operating parameters. For present case, pH with percent contribution of 87.62% and 66.2% was ranked as the most contributing and significant factor. This finding of Taguchi method was also verified by 3D contour plots of CCD. Therefore, from this comparative study, it is concluded that Taguchi method with 9 experimental runs and simple interaction plots is a suitable alternative to CCD for several chemical engineering applications.

scholarly journals Ion Exchange Dialysis for Aluminium Transport through a Face Centered Central Composite Design Approach

2019 ◽  
Author(s):  
Dennis Asante-Sackey ◽  
Sudeh Rathilal ◽  
Lingham V. Pillay ◽  
Emmanuel Kweinor Tetteh
Keyword(s):  
Ion Exchange ◽  
Central Composite Design ◽  
Desirability Function ◽  
Target Response ◽  
Feed Concentration ◽  
The Face ◽  
Contour Plots ◽  
Desirability Approach ◽  
Face Centered ◽  
Central Composite

An ion exchange dialysis (IED) is used in the recovery of aluminium from residue. In this papers, the face-centered central composite design (FC-CCD) of the response surface methodology (RSM) and desirability approach is used for experimental design, modelling and process optimization of a counter flow IED system. The feed concentration, feed flowrate, sweep flowrate and sweep concentration are selected as the process variables, with the Al-transport across a Nafion 117 membrane as the target response. A total of 30 experimental runs were conducted with 6 center points. The response obtained was analysed by analysis of variance (ANOVA) and fitted to a second-order polynomial model using multiple regression analysis. The actual R2 and standard deviation of the model are 0.9548 and 0.2932 respectively. The influences of significant variables are plotted on 3D surface and contour plots. The designed variables were numerically optimized by applying the desirability function to achieve the maximum Al-transport. The optimised condition values were found to be feed concentration (1600 ppm), feed flowrate (61.76%), sweep flowrate (37.50%) and sweep concentration (0.75 N) for the 80% target response at 32hrs. Overall, the model can be used to effectively predict Al-recovery using the designed system

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.

scholarly journals Combined Minimum-Run Resolution IV and Central Composite Design for Optimized Removal of the Tetracycline Drug Over Metal–Organic Framework-Templated Porous Carbon

Molecules ◽  
2019 ◽  
Vol 24 (10) ◽  
pp. 1887 ◽  
Author(s):  
Thuan Van Tran ◽  
Duyen Thi Cam Nguyen ◽  
Hanh T. N. Le ◽  
Long Giang Bach ◽  
Dai-Viet N. Vo ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Removal Efficiency ◽  
Metal Organic Framework ◽  
Response Surfaces ◽  
Diagnostic Plots ◽  
Initial Ph ◽  
Metal Organic ◽  
Ph Level ◽  
Central Composite ◽  
Organic Framework

In this study, a minimum-run resolution IV and central composite design have been developed to optimize tetracycline removal efficiency over mesoporous carbon derived from the metal-organic framework MIL-53 (Fe) as a self-sacrificial template. Firstly, minimum-run resolution IV, powered by the Design–Expert program, was used as an efficient and reliable screening study for investigating a set of seven factors, these were: tetracycline concentration (A: 5–15 mg/g), dose of mesoporous carbons (MPC) (B: 0.05–0.15 g/L), initial pH level (C: 2–10), contact time (D: 1–3 h), temperature (E: 20–40 °C), shaking speed (F: 150–250 rpm), and Na+ ionic strength (G: 10–90 mM) at both low (−1) and high (+1) levels, for investigation of the data ranges. The 20-trial model was analyzed and assessed by Analysis of Variance (ANOVA) data, and diagnostic plots (e.g., the Pareto chart, and half-normal and normal probability plots). Based on minimum-run resolution IV, three factors, including tetracycline concentration (A), dose of MPC (B), and initial pH (C), were selected to carry out the optimization study using a central composite design. The proposed quadratic model was found to be statistically significant at the 95% confidence level due to a low P-value (<0.05), high R2 (0.9078), and the AP ratio (11.4), along with an abundance of diagnostic plots (3D response surfaces, Cook’s distance, Box-Cox, DFFITS, Leverage versus run, residuals versus runs, and actual versus predicted). Under response surface methodology-optimized conditions (e.g., tetracycline concentration of 1.9 mg/g, MPC dose of 0.15 g/L, and pH level of 3.9), the highest tetracycline removal efficiency via confirmation tests reached up to 98.0%–99.7%. Also, kinetic intraparticle diffusion and isotherm models were systematically studied to interpret how tetracycline molecules were absorbed on an MPC structure. In particular, the adsorption mechanisms including “electrostatic attraction” and “π–π interaction” were proposed.

scholarly journals Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
WesamEldin I. A. Saber ◽  
Noura El-Ahmady El-Naggar ◽  
Mohammed S. El-Hersh ◽  
Ayman Y. El-khateeb ◽  
Ashraf Elsayed ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Central Composite Design ◽  
Immobilized Cells ◽  
Comparative Approach ◽  
Bacterial Cells ◽  
Ann Model ◽  
Biosorption Process ◽  
Artificial Neural ◽  
Central Composite

AbstractHeavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that dealt with the modeling of the optimization of the biosorption process by the immobilized cells. The significant parameters (immobilized bacterial cells, contact time, and initial Cr6+ concentrations), affecting Cr6+ biosorption by immobilized Pseudomonas alcaliphila, was verified, using the Plackett–Burman matrix. For modeling the maximization of Cr6+ biosorption, a comparative approach was created between rotatable central composite design (RCCD) and artificial neural network (ANN) to choose the most fitted model that accurately predicts Cr6+ removal percent by immobilized cells. Experimental data of RCCD was employed to train a feed-forward multilayered perceptron ANN algorithm. The predictive competence of the ANN model was more precise than RCCD when forecasting the best appropriate wastewater treatment. After the biosorption, a new shiny large particle on the bead surface was noticed by the scanning electron microscopy, and an additional peak of Cr6+ was appeared by the energy dispersive X-ray analysis, confirming the role of the immobilized bacteria in the biosorption of Cr6+ ions.

Determination of cocaine, its metabolites and pyrolytic products by LC-MS using a chemometric approach

2014 ◽  
Vol 6 (2) ◽  
pp. 456-462 ◽  
Author(s):  
Andrea Garcia Pereira ◽  
Felipe Bianchini D'Avila ◽  
Pâmela C. Lukasewicz Ferreira ◽  
Marcelo Gatteli Holler ◽  
Renata Pereira Limberger ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Central Composite Design ◽  
Factorial Design ◽  
Liquid Chromatography Mass Spectrometry ◽  
Chemometric Approach ◽  
Pyrolytic Products ◽  
Face Centered ◽  
Central Composite

A method to assay cocaine, its metabolites, pyrolytic products and adulterant levamisole was developed and validated by liquid chromatography-mass spectrometry (LC-MS) using a chemometric approach including a two-level factorial design and face-centered central composite design (FCCCD) to achieve the optimization.

Sign in / Sign up

Export Citation Format

Share Document