ArticleScientific reports2026
PANI-mediated wastewater treatment: mechanistic insights into heavy metal remediation pathways.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The present study explores the catalytic adsorptive efficiency of emeraldine salt-phase polyaniline (PANI) nanoparticles for the selective removal of three environmentally hazardous heavy metal ions, Cr(VI), Mn(VII), and Cu(II), from aqueous systems. Synthesized via oxidative polymerization in 2 M HCl and characterized through XRD, FTIR, DSC, SEM, TEM, EDX, zeta potential, UV-vis spectroscopy, and particle size analysis, the PANI nanoparticles possessed good physicochemical properties propitious to surface-mediated interactions and redox transformations. Time-resolved batch adsorption experiments were performed under identical ambient conditions without pH adjustment, with a view to simulating realistic scenarios pertinent to wastewater. The results manifested that there existed strong co-relation among wastewater remediation efficiency, distinct valency of metal ions and their removal mechanisms where Cr(VI) underwent redox reduction to Cr(III) followed by complexation with nitrogen sites of PANI; Mn(VII) was reduced to insoluble MnO₂, which precipitated without forming any polymer-metal complex; and Cu(II) formed weak chelation, its monitoring being done using a PAN indicator on account of its low intrinsic absorbance. Pseudo-first-order kinetic modeling revealed rapid uptake for Cr and Mn within the initial 5 min, while Cu followed a slower adsorption profile. This paper consequently points out that the electronic structure, redox potential, and charge density of the metal ions control their interaction with PANI and positions PANI as a versatile redox-active organic material that preferentially display better results while targeting high-valent metal ions in heterogeneous aqueous environments. These results provide basic insight into the design of intelligent polymeric systems for efficient and sustainable wastewater treatment.
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