Study of heavy metal removal from heavy metal mixture using the CCD method

Demim, S.; Drouiche, Nadjib; Ali, Aidy; Benayad, Tahar; Couderchet, Michel; Semsari, S.

doi:10.1016/j.jiec.2013.05.010

Cited by 75 publications

(23 citation statements)

References 40 publications

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“…The determination coefficient (R 2 ) was evaluated as 0.9983, and the adjusted R-square value (R 2 adj ) was 0.9958. The two values were both close to 1, which indicated a relatively high correlation degree between the actual and the predicted responses [40].…”

Section: Analysis Of Variancementioning

confidence: 64%

Simultaneous removal of natural organic matter and turbidity from Oued El Harrach River by electrocoagulation using an experimental design approach

Boudjema

Abdi

Grib

et al. 2016

Desalination and Water Treatment

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In this study, the application of full factorial design and a surface response methodology was used to model the two-factor influence. Time and current intensity on bacterial biomass, color, turbidity, and natural organic matter (NOM) removal from Oued El Harrach River were discussed. A factorial experimental design was used to investigate the bacterial biomass and color removal from Oued El Harrach River situated in northern Algeria which is treated by electrocoagulation using iron plate electrodes. However, a response surface methodology (RSM) was used to reduce the turbidity and NOM. The bacteria removal efficiency was determined after 30 min of treatment. The combined effects of operating parameters on removal turbidity and NOM were also analyzed. A regression model was found to fit the experimental data very well. Besides, the results were statistically analyzed using the student's t-test, analysis of variance, F-test, and lack of fit in order to define the most important process variables affecting the removal of bacteria biomass, color turbidity, and NOM from Oued El Harrach River. The predicted results using factorial regression model showed high regression coefficient values (i.e. R 2 bact = 0.9687 and R 2 colo = 0.9983) which are in substantial agreement with experimental data. On the other hand, predicted values of turbidity and NOM obtained from central composite model were in close agreement with the experimental values (i.e. R 2 turb = 0.9442 and R 2 NOM = 0.9432). This study proved that factorial design and RSM could efficiently be applied for the wastewater treatment modeling by electrocoagulation process.

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Section: Analysis Of Variancementioning

confidence: 64%

Simultaneous removal of natural organic matter and turbidity from Oued El Harrach River by electrocoagulation using an experimental design approach

Boudjema

Abdi

Grib

et al. 2016

Desalination and Water Treatment

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“…Therefore, combining careful experimental design with response surface methodology (RSM) is an effective strategy for deriving optimized conditions for arsenic removal using minimal experimentation. Demin et al [28,29] demonstrated the application of central composite design (CCD) combined with RSM analysis to investigate the significant factors that influenced the heavy metal removal (Cd 2+ , Cr 6+ , Cu 2+ , Zn 2+ , and Ni 2+ ) from aqueous solution using bioremoval process. Baskan and Pala reported the use of Box-Behnken statistical experiment design (BBD) to evaluate optimal conditions for As(V) removal by ferric ions [12], and aluminum sulfate [13].…”

Section: Desalination and Water Treatmentmentioning

confidence: 99%

Simultaneous removal of As(III) and As(V) from wastewater by co-precipitation using an experimental design approach

Wittayarak

Imyim

Wongravee

2016

Desalination and Water Treatment

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A B S T R A C TResponse surface methodology (RSM) with central composite design was used to determine the significant effects of pH, ferric ion, and initial arsenic concentrations on the removal efficiency of arsenic by a co-precipitation method. The regression function, with coefficients calculated by multiple linear regression, was calibrated and validated using external experimental runs. The correlation coefficients (R 2 ) of the actual vs. predicted arsenic removal percentages were 0.9871 and 0.9478 for As(III) and As(V), respectively. All major factors were determined to be significant by analysis of variance, with p-values < 0.01 and had a district effort on the removal process. Multi-layer response surfaces were developed to determine the highest removal efficiency. The maximum removal efficiencies for arsenic species were approximately 100%, achieved by model prediction with a Fe/As mole fraction of 3.34 at pH 7. These optimized conditions were then applied to remove arsenic from two industrial wastewater samples, giving efficiencies of 93.98 and 91.48%. The results reveal that the chosen conditions from the RSM approach are applicable for arsenic removal from real water samples, without any pretreatment process.

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“…The most common heavy metal contaminants frequently released in the environment are Cd, Hg, Pb, Cr, Ni, Co, Cu and Zn (Subhashini, Swamy, & Hema Krishna, 2013). Their presence in the soil may leads to harmful effects on both the ecosystem and living organisms (Demim et al, 2014). Among heavy metals, zinc (Zn) is an essential trace element belongs to the list of transition metals and stands 24th among the most abundant elements on the earth's crust.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of Zn-phytoextraction potential in guar (Cyamopsis tetragonolobaL.) and sesame (Sesamum indicumL.): tolerance and accumulation

Amin

Arain

Abbasi

et al. 2018

Geology, Ecology, and Landscapes

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Phytoextraction is a plant-based technique for removing heavy metals from polluted soil. The experiment reported in this paper was undertaken to study the Zn phytoextraction potential of Cyamopsis tetragonoloba in comparison with Sesamum indicum in the framework of a pot experiment. Plants were subjected to six Zn concentrations (0, 50, 100, 200, 300, 400 mg kg −1 soil) for 90 days to investigate Zn tolerance and accumulation. Results demonstrated that, at higher Zn levels, root, shoot lengths, biomass and chlorophyll content were all significantly reduced (p < 0.05). A steady increase in Zn accumulation with increasing concentration in soil was observed for all treatments. Both plant species had relatively high Zn tolerance and accumulation capacity, with C. tetragonoloba being more tolerant and having higher Zn accumulation than S. indicum. At 400 mg Zn kg kg −1 , accumulation of Zn in C. tetragonoloba was highest in the root (439.33 mg kg ). Considering the rapid growth, high biomass, tolerance, accumulation efficiency, bioconcentration factor (BCF), bioaccumulation coefficient (BAC) and translocation factor (TF) (all greater than 1) established C. tetragonoloba as a potential candidate plant for Zn phytoextraction.

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Study of heavy metal removal from heavy metal mixture using the CCD method

Cited by 75 publications

References 40 publications

Simultaneous removal of natural organic matter and turbidity from Oued El Harrach River by electrocoagulation using an experimental design approach

Simultaneous removal of natural organic matter and turbidity from Oued El Harrach River by electrocoagulation using an experimental design approach

Simultaneous removal of As(III) and As(V) from wastewater by co-precipitation using an experimental design approach

Comparative study of Zn-phytoextraction potential in guar (Cyamopsis tetragonolobaL.) and sesame (Sesamum indicumL.): tolerance and accumulation

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