Catalytic Oxidation Extraction of Bromine from Natural Seawater Using Polyaniline
Abstract
Abstract Bromine is an essential strategic chemical raw material, and seawater represents the largest reserve of bromine resources on Earth. Conventional seawater bromine extraction technologies suffer from high acid/oxidant consumption, secondary pollution, and limited cycle performance. Herein, polyaniline (PANI) with continuous π-conjugated nitrogen-containing skeleton was proposed as a metal-free catalytic medium for continuous bromine conversion from natural seawater without extra chemical additives. Multiple characterizations including scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, X-ray diffraction (XRD), ultraviolet-visible spectrophotometry (UV-Vis), inductively coupled plasma (ICP), coupled with gas-phase product capture experiments and density functional theory (DFT) calculations were applied to reveal the interface evolution and catalytic mechanism of PANI in seawater. SEM-EDS results verified obvious interface reconstruction after seawater treatment, accompanied by impurity Fe elution and trace Br signal appearance. Time-dependent UV-Vis quantitative analysis revealed an atypical dynamic curve: apparent bromine removal capacity rapidly peaked at 40 min (>2500 mg g⁻¹) and then declined to negative values, eliminating static adsorption as the dominant pathway. XPS and Raman spectra confirmed reversible electron rearrangement of PANI conjugated backbone and transient formation of…
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.