Synthesis and Characterization of Phosphorus-Containing Sorbent for Basic Dye Removal

Abstract

A new phosphorus-containing sorbent was prepared by copolymerizing ethylene glycol dimethacrylate (EGDMA) and trimethylvinyl silane (TMVS) with diphenylvinylphoshine oxide (DPVO). It was characterized and applied in the removal of cationic dyes such as C.I. Basic Yellow 2 (BY2), C.I. Basic Blue 3 (BB3) and C.I. Basic Red 46 (BR46) using the batch method. Spectroscopic analysis indicated that the phosphinoyl group was introduced into the sorbent structure. Equilibrium adsorption data were fitted to the Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherm models. The Freundlich model is the most suitable to describe the adsorption of BB3 (the Freundlich constant kF = 32.3 mg1−1/nL1/n/g) and BY2 on the sorbent (13.8 mg1−1/nL1/n/g), while the Langmuir model is the most adequate to describe the adsorption of BR46 (the monolayer capacity Q0 = 2.7 mg/g). The kinetics of the dye adsorption follows the assumptions of the pseudo-second-order (the rate constants k2 = 0.087 ÷ 0.738 g/mg min) model rather than pseudo-first-order or intraparticle diffusion. The presence of Na2SO4 and cationic surfactant in the aqueous solutions inhibited dye retention by the DPVO–EGDMA–TMVS. Adsorbent regeneration efficiency does not exceed 60% using 1 M NaCl and 1 M HCl solutions in the presence of 50% v/v methanol.

Rapid, Massive, and Green Synthesis of Polyoxometalate-Based Metal–Organic Frameworks to Fabricate POMOF/PAN Nanofiber Membranes for Selective Filtration of Cationic Dyes

“…The Freundlich thermodynamic coefficients (R 2 ) of RhB, MB, and CV were 0.9722, 0.98107, and 0.99574, respectively, and the R 2 values of the Langmuir model were 0.92429, 0.96561, and 0.92681. The higher R 2 values for the three dyes obtained from the Freundlich model compared to the Langmuir model indicated a multilayer adsorption process [42,43]. The adsorption mechanism and rate control steps of dye adsorption on 5 wt% POMOF1/PAN NFM were investigated using pseudo-first-order and pseudo-second-order kinetic models.…”