A ligand based innovative composite material for selective lead(II) capturing from wastewater

The ligand based composite material is an effective material for the removal of diverse contaminants from wastewater. However, the performance of some ligands functionality is limited in many cases due to the functional complexation ability. Therefore, the high immobilization of ligand anchoring by the building-block approach is a better way for high amount adsorption of pollutants. The present study was carried out for the successful detection and removal of lead (Pb(II)) ion from aqueous solution by a novel functionalized composite material. The composite material was successfully prepared by the building-block immobilization of (3-(3-(methoxycarbonyl)benzylidene) hydrazinyl)benzoic acid onto the highly ordered mesoporous silica. The factor affecting Pb(lI) detection and adsorption by composite material was carried out in a batch-mode with the parameters of solution pH, color optimization, competing ions, initial concentrations, contact time and reuses. The material was enhanced the color formation by stable complexation during the Pb(II) ion detection and adsorption operations. The limit of detection was 0.51 mu g/L. The effective pH for Pb(II) ions capturing was 5.50, and the maximum adsorption capacity of the composite material was found to 214.15 mg/g. The data revealed that the capturing system was in a one-step and ultra-trace Pb(lI) was captured without using highly sophisticated instrumentations. The results clarified that composite material was exhibited high selectivity toward the Pb( II) ion even in the presence of the high amount of common metal ions. The adsorbed Pb(II) was eluted with 0.20 M HCI and the material were simultaneously regenerated into an initial form for the next capturing operations after rinsing with water. Therefore, composite material is an effective, low-cost and recyclable material and was a great potential to be a promising technique for Pb(II) remediation for safe-guarding the public health. (C) 2019 Elsevier B.V. All rights reserved.