Use of adsorption-influencing parameters for designing the batch adsorber and neural network–based prediction modelling for the aqueous arsenate removal using combustion synthesised nano-alumina
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DOI: 10.1007/s11356-020-08975-y
Abstract: Removal of arsenic from water is of utmost priorities on a global scenario due to its ill effects. Therefore, in the present study, aluminium oxide nano-particles (nano-alumina) were synthesised via solution combustion method, which is… read more here.
Keywords: adsorption; removal; arsenate removal; nano alumina ... See more keywords