CCD study on the ecophysiological effects of heavy metals on Lemna gibba

Demim, S.; Drouiche, Nadjib; Ali, Aidy; Semsari, S.

doi:10.1016/j.ecoleng.2013.04.041

Cited by 45 publications

(15 citation statements)

References 32 publications

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“…As such, these strongly correlating metals can share a single transporter, such as NRAMP, or share transporters between two or three-metal groups. In addition, particularly strong Cr/Cu correlations have previously been reported in the literature (Demim et al 2013b). Consequently, shared transport pathways may be a major cause of the correlations observed, although it should be noted that high numbers of potential transporters may also decrease the correlations observed.…”

Section: Accumulation and Release Profiles Of Metal(loid)s In Lemna Mmentioning

confidence: 84%

Correlations in metal release profiles following sorption byLemna minor

Tunca

Ölmez

Özkan

et al. 2015

International Journal of Phytoremediation

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Following the rapid uptake of contaminants in the first few hours of exposure, plants typically attempt to cope with the toxic burden by releasing part of the sorbed material back into the environment. The present study investigates the general trends in the release profiles of different metal(loid)s in the aquatic macrophyte Lemna minor and details the correlations that exist between the release of metal(loid) species. Water samples with distinct contamination profiles were taken from Nil€ ufer River (Bursa, Turkey), Yeniça ga Lake (Bolu, Turkey), and Beyşehir Lake (Konya, Turkey) and used for release studies; 36 samples were tested in total. Accumulation and release profiles were monitored over five days for 11 metals and a metalloid ( Fe, 66 Zn, 68 Zn) and correlation, cluster and principal component analyses were employed to determine the factors that affect the release of these elements. Release profiles of the tested metal(loid)s were largely observed to be distinct; however, strong correlations have been observed between certain metal pairs (Cr/Ni, Cr/Cu, Zn/Ni) and principal component analysis was able to separate the metal(loid)s into three well-resolved groups based on their release.

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Section: Accumulation and Release Profiles Of Metal(loid)s In Lemna Mmentioning

confidence: 84%

Correlations in metal release profiles following sorption byLemna minor

Tunca

Ölmez

Özkan

et al. 2015

International Journal of Phytoremediation

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“…The central composite design has many advantages over the classical "one factor at a time" experiments because the factors involved in an experiment are being simultaneously changed. Hence, by running fewer experiments, CCD provides more information along with individual as well as interactive effect of all the parameters involved in the study [23,24].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Application of central composite design for the optimization of on-line solid phase extraction of Cu2+ by calix[4]arene bonded silica resin

Memon

Ayyilidiz

Kara

et al. 2015

Chemometrics and Intelligent Laboratory Systems

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“…As can be seen, all main factors and their interactions are significant at 5% of probability level (p < 0.05). The regression equation developed from different experiment sets shows the yield dependence on individual parameters as well as interactions for simultaneous parameters variation [37,38].…”

Section: Full Factorial Designmentioning

confidence: 99%

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. 2015

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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CCD study on the ecophysiological effects of heavy metals on Lemna gibba

Cited by 45 publications

References 32 publications

Correlations in metal release profiles following sorption byLemna minor

Correlations in metal release profiles following sorption byLemna minor

Application of central composite design for the optimization of on-line solid phase extraction of Cu2+ by calix[4]arene bonded silica resin

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

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