2019
DOI: 10.1007/s13762-019-02490-5
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Removal of multiple metals using Tamarindus indica as biosorbent through optimization of process variables: a statistical approach

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Cited by 10 publications
(4 citation statements)
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“…The optimal dose of the biosorbent for Pb­(II) ion adsorption was found to be 1.5 g and for Zn­(II) ion adsorption to be 0.6 g, based on the results of the experiments. These results are similar to those of removal of these heavy metals using Tamarindus indica as the biosorbent . The increase in the dosage of the biosorbent increases the removal efficiency, which may be ascribed to the more active sites of adsorption and biosorbent functional groups that may bind to these heavy metals .…”
Section: Results and Discussionsupporting
confidence: 80%
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“…The optimal dose of the biosorbent for Pb­(II) ion adsorption was found to be 1.5 g and for Zn­(II) ion adsorption to be 0.6 g, based on the results of the experiments. These results are similar to those of removal of these heavy metals using Tamarindus indica as the biosorbent . The increase in the dosage of the biosorbent increases the removal efficiency, which may be ascribed to the more active sites of adsorption and biosorbent functional groups that may bind to these heavy metals .…”
Section: Results and Discussionsupporting
confidence: 80%
“…Hence, K d is calculated by converting the units of K L , L/mg should be multiplied by 1000 to convert the units in L/g, then multiplied by the molecular weight of the adsorbate, and then by 55.5 to transform K in L/mol to use K L in the thermodynamic calculations. Therefore, eq can be changed as follows , where the factor 55.5 is the number of moles of pure water per liter and MW is the molecular weight of the adsorbate.…”
Section: Results and Discussionmentioning
confidence: 99%
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“…Multivariate models can offer a solution for the optimization of SBB as it can simultaneously evaluate many factors with the effective monitoring of the interaction between process parameters. The experimental design can be formulated for the prediction of maximum removal/bioremediation efficiency using simulation techniques [ 26 , 27 ]. Response surface methodology (RSM), especially central composite design CCD, can be applied to multifactorial processes such as SBB to attain optimum conditions for adsorption of arsenic.…”
Section: Introductionmentioning
confidence: 99%