Literature DB >> 30857103

Evaluation of magnetic chitosan beads for adsorption of heavy metal ions.

Chunzhen Fan1, Kan Li2, Yi He3, Yalin Wang4, Xufang Qian4, Jinping Jia5.   

Abstract

Although many magnetic chitosan materials have been prepared for adsorption of metal ions, there is no standard method for comprehensive evaluation of material performance. The common practice simply compares either adsorption capacity (Q) or saturation magnetization (Ms) of interested materials; however, these two important parameters often work in opposite way. This study aims to establish two methods for evaluation of the overall performance of magnetic materials. The proposed methods consider both heavy metal ion adsorption capacity and magnetic recovery of the material after use. The first method introduces adsorption recovery index (ARI, ARI=Qt), which is calculated using Q and recovery time (t) needed for achieving 98% material recovery. Higher ARI value shows better performance of a magnetic material. The second method uses effort-vector data visualization, in which the position of a magnetic material is shown on a coordinate depicted using normalized Q and Ms value. The distance of the data point to the target (ideal Q and Ms value) indicates the performance of the material. The shorter the distance, the better the overall performance is. Two series of MCBs with different Fe3O4 chitosan mass ratios were prepared by using embedding method and chemical co-precipitation method respectively. They were used as model compounds for investigation of the feasibility of the proposed evaluation methods through adsorption of various metal ions (Ag+, Cu2+, Hg2+, Cr3+ and Cr6+) and MCBs recovery test. The best performers were able to be identified by using both methods and the results agreed with each other. Compared with ARI, the effort-vector data visualization was more straightforward and easier to use. This method was successfully applied to evaluate a wide selection of magnetic materials, including those prepared in this work and reported from literatures, for their overall performance.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adsorption recovery index; Effort-vector data visualization; Evaluation; Heavy metal ions; Magnetic chitosan

Year:  2018        PMID: 30857103     DOI: 10.1016/j.scitotenv.2018.02.033

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  One-pot synthesis of multi-functional and environmental friendly tannic acid polymer with Fe3+ and formaldehyde as double crosslinking agents for selective removal of cation pollutants.

Authors:  Mingming Zhang; Shengxiao Zhang; Xingxing Liu; Hou Chen; Yongfei Ming; Qiang Xu; Zhenhua Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-05       Impact factor: 4.223

2.  Preparation of magnetic chitosan using local iron sand for mercury removal.

Authors:  Fitri PurnamaWati
Journal:  Heliyon       Date:  2019-05-17

3.  An effective and recyclable decolorization method for polysaccharides from Isaria cicadae Miquel by magnetic chitosan microspheres.

Authors:  Bingbing Yu; Yao Chen; Lijun Zhu; Mengmeng Ban; Li Yang; Yeda Zeng; Shijie Li; Chunzhi Tang; Danyan Zhang; Xiaoqing Chen
Journal:  RSC Adv       Date:  2022-01-24       Impact factor: 3.361

4.  Combination of Micelle Collapse and CuNi Surface Dissolution for Electrodeposition of Magnetic Freestanding Chitosan Film.

Authors:  Jingyuan Bai; Meilin Zhang; Xuejiao Wang; Jin Zhang; Zhou Yang; Longyi Fan; Yanan An; Renguo Guan
Journal:  Nanomaterials (Basel)       Date:  2022-07-30       Impact factor: 5.719

5.  Characterization and Mechanistic Study of Heavy Metal Adsorption by Facile Synthesized Magnetic Xanthate-Modified Chitosan/Polyacrylic Acid Hydrogels.

Authors:  Liming Dong; Chengyang Shan; Yuan Liu; Hua Sun; Bing Yao; Guizhen Gong; Xiaodong Jin; Shifan Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-05       Impact factor: 4.614

Review 6.  Insights of CMNPs in water pollution control.

Authors:  Ganesan Janet Joshiba; Ponnusamy Senthil Kumar; Femina Carolin Christopher; Bharath Balji Govindaraj
Journal:  IET Nanobiotechnol       Date:  2019-08       Impact factor: 1.847

7.  Copper Ions Removal from Water using A2B3 Type Hyperbranched Poly(amidoamine) Hydrogel Particles.

Authors:  Hojung Choi; Youngsik Eom; Sanghwa Lee; Sang Youl Kim
Journal:  Molecules       Date:  2019-10-26       Impact factor: 4.411

  7 in total

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