Application of Full Factorial Design Method for Optimization of Heavy Metal Release from Lead Smelting Slag

Gürkan, Elif Hatice; Tibet, Yusuf; Çoruh, Semra

doi:10.3390/su13094890

Cited by 6 publications

(3 citation statements)

References 40 publications

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“…The normalized effect diagram generated in the regression model can well explain the significance of each parameter factor and the interaction results between parameter factors in the experiment. With the help of the normalized effect normal diagram, single data items and secondary data items that do not conform to the normal distribution in the regression model can be screened out; through the Pareto diagram of standardized effect, we can obtain which parameter factors and their interactions are the most important [32].…”

Section: Standardized Effect Diagram Analysismentioning

confidence: 99%

“…The main effects plot in the factor plot shows the relationship between the leaching rate and the individual parameter factors, and the interaction plot in the factor plot illustrates how the relationship between one parameter factor and the leaching rate depends on the value of the second parameter factor. The factor plot in the regression model can visually reflect the correlation between the response value (i.e., the leaching rate) and the factors of each parameter [32].…”

Section: Factor Plot Analysismentioning

confidence: 99%

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Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

Niu

Zhang

et al. 2023

Metals

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The recovery of zinc from metallurgical dust sludge is a crucial component of using solid waste as a resource in the metallurgical process, and deep eutectic solvent–ultrasonic synergistic enhanced leaching is an efficient method of doing so with excellent economic effects. The leaching rate of zinc is used as the value of response in this study, along with the four process conditions of leaching temperature, leaching time, liquid–solid ratio, and ultrasonic power. By building a regression model, the relationship between the various parameter components is investigated, and a strategy for optimization is then chosen and confirmed. The findings indicate that, for the parameters of temperature 40 °C, ultrasonic power 90 W, liquid–solid ratio 7:1 g/L, stirring speed 250 rpm, and leaching duration 80 min, the prediction value of the regression model of the zinc leaching rate is 98.47%. The average zinc leaching rate obtained by the 3 parallel verification experiments was 98.49%; the deviation from the regression model’s predicted value was 0.02%. This demonstrated that the experimental results were consistent with those predicted by the regression model, the experimental results were reliable and trustworthy, and the optimization scheme was reasonable and accurate. Compared with the conventional leaching method (leaching rate: 91.61%), the method under ultrasound increased the zinc leaching rate by 6.88%.

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Section: Standardized Effect Diagram Analysismentioning

confidence: 99%

Section: Factor Plot Analysismentioning

confidence: 99%

Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

Niu

Zhang

et al. 2023

Metals

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“…The experimental factors such as strontium concentration, pH, time and temperature were studied in the biosorption process. Because empirical studies are time consuming and costly, it is bene cial to use the full factorial design in order to reduce the total number of experiments and thus obtain the best overall optimization of the adsorption system [13][14][15]. This design determines that factors have signi cant effects on a response and how the effect of one factor varies with the level of other factors.…”

Section: Factorial Design For the Biosorption Studiesmentioning

confidence: 99%

Strontium (II) Biosorption Studies on Starch-Functionalized Magnetic Nanobiocomposites Using Full Factorial Design Method

et al. 2022

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The purpose of this research was to fabricate starch based magnetic nanobiocomposites using 2 different starch types (corn and wheat) and to examine the effects of some experimental parameters (such as starch concentration, NaOH concentration and aging time of nanoparticles) that play a role in the synthesis products. The characterization of the starch-based magnetic-nanobiocomposite materials were realized with several techniques. The usability of starch-based magnetic-nanobiocomposite materials, which can provide rapid separation with their magnetic properties and are not toxic, in removing Sr (II) ions from aqueous solutions has been investigated. The parameters affecting the biosorption were investigated using a full factorial experimental design. In the biosorption study, pH, temperature, initial Sr(II) concentration and contact time were determined as four independent variables. The regression coe cients were found using the least squares method and the response surface graphs were created according to the polynomial equation obtained from the full factorial experimental design.ANOVA (analysis of variance) analysis within the 95% con dence interval of the model applied for the full factorial experimental design was examined and the compatibility of the model with the experimental ndings was examine. The composition and chemical state of the magnetic nanobiocomposites were investigated by XPS analysis after Sr(II) biosorption. For the purpose of determine the adsorption model, the relevant parameters were calculated using Langmuir, Freundlich and Dubinin-Radushkevich isotherms. Gibbs free energy change, enthalpy and entropy values, which are the values of adsorption thermodynamics, were calculated.Recently, magnetic sorbents, especially those of vegetable origin have become very popular to remove impurities in water because they have properties such as low cost, easy preparation, fast sorbing ability,

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Potential of major by-products from non-ferrous metal industries for CO2 emission reduction by mineral carbonation: a review

Abdul¹,

Iizuka²,

Ho³

et al. 2023

Environ Sci Pollut Res

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Application of Full Factorial Design Method for Optimization of Heavy Metal Release from Lead Smelting Slag

Cited by 6 publications

References 40 publications

Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

Strontium (II) Biosorption Studies on Starch-Functionalized Magnetic Nanobiocomposites Using Full Factorial Design Method

Potential of major by-products from non-ferrous metal industries for CO2 emission reduction by mineral carbonation: a review

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