Removal of dyes and heavy metal ions from water by magnetic hydrogel beads based on poly(vinyl alcohol)/carboxymethyl starch-g-poly(vinyl imidazole)

RSC Advances ◽  
2015 ◽  
Vol 5 (79) ◽  
pp. 64106-64118 ◽  
Author(s):  
Zahra Sekhavat Pour ◽  
Mousa Ghaemy

Highly porous magnetic nanocomposite hydrogel (m-CVP) beads were prepared and used for the removal of dyes and heavy metal ions.

2019 ◽  
Vol 18 (02) ◽  
pp. 1850019
Author(s):  
Huiyuan Yu ◽  
Jiayi Zhu ◽  
Hongbo Ren ◽  
Shuxin Liu

Graphene-based aerogels with a three-dimensional interconnected network were fabricated via the hydrothermal self-assembly and thermal-annealing process. The aerogels were characterized by means of scanning electron microscopy and atomic absorption spectroscopy. The graphene-based aerogels showed highly porous structure and adsorption capacity for heavy metal ions. Thus, they would be the promising materials for removal of heavy metal ions from water.


2010 ◽  
Vol 119 (2) ◽  
pp. 1204-1210 ◽  
Author(s):  
Shaoping Yang ◽  
Shiyu Fu ◽  
Hao Liu ◽  
Yiming Zhou ◽  
Xueyun Li

2009 ◽  
Vol 02 (01) ◽  
pp. 29-43 ◽  
Author(s):  
SVETLA VASSILEVA ◽  
KOLISHKA TSEKOVA ◽  
DARINKA CHRISTOVA ◽  
DESSISLAVA TODOROVA

In this paper the fuzzy logic method improved by adaptive learning of a fuzzy inference system, based on anfis, was used to demonstrate a software analyzer design for parameters evaluation of ternary heavy metal ions removal. The studied process was conducted to investigate metal binding ability of the novel hybrid hydrogel, obtained by entrapping Penicillium cyclopium biomass into chemically cross-linked poly (vinyl alcohol) (PVA) network toward Cu 2+, Co 2+ and Fe 3+ from ternary aqueous solution. The performance of the biosorbent was evaluated by determining the values of heavy metal uptake and heavy metal removal efficiency in the ternary metal mixture. The innovative immobilization technology developed provides an attractive strategy for the developing high-affinity biosorption system for the treatment of wastewater containing heavy metals in low concentration. The obtained results of both — the studied process and software analyzer design and implementation are illustrated and discussed.


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