| Title |
Hexavalent chromium removal from aqueous solution using functionalized chitosan as a novel nano-adsorbent: modeling and optimization, kinetic, isotherm, and thermodynamic studies, and toxicity testing
|
|---|---|
| Published in |
Environmental Science and Pollution Research, May 2018
|
| DOI | 10.1007/s11356-018-2023-1 |
| Pubmed ID | |
| Authors |
Hassan Aslani, Tayebeh Ebrahimi Kosari, Simin Naseri, Ramin Nabizadeh, Mohammad Khazaei |
| Abstract |
Hexavalent chromium is a highly toxic metal that can enter drinking water sources. Chitosan, which contains amino and hydroxyl functional groups, is considered an appropriate candidate to remove heavy metals through absorption. In this study, a novel adsorbent, magnetic nanoparticles of chitosan modified with polyhexamethylene biguanide (Ch-PHMB NPs) was synthesized and was used to successfully remove chromium from aqueous solution. Quadratic models with independent variables including pH, adsorbent dosage, time, and the initial concentration of chromium were proposed through RSM to describe the behavior of both magnetic chitosan (M-Ch) and Ch-PHMB NPs in Cr(VI) removal. Optimized models with adjusted R2 values of 0.8326 and 0.74 for M-Ch and Ch-PHMB NPs were developed. Cr(VI) removal from aqueous solution by both absorbents followed pseudo-second-order kinetics. The experimental data were best fitted to the Temkin and Freundlich models for M-Ch and Ch-PHMB NPs, respectively. M-Ch and Ch-PHMB NPs can effectively remove the hexavalent chromium from aqueous solution with pH above 7. Ch-PHMB NPs have higher removal efficiency than M-Ch, removing up to 70% of Cr(VI) from aqueous solution. However, toxicity evaluation on Daphnia magna revealed that Ch-PHMB NPs was more toxic than M-Ch nanoparticles. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Professor | 5 | 10% |
| Lecturer | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 12% |
| Engineering | 5 | 10% |
| Environmental Science | 4 | 8% |
| Chemical Engineering | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 24 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2018.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,443
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Outputs of similar age
#257,641
of 329,588 outputs
Outputs of similar age from Environmental Science and Pollution Research
#124
of 229 outputs
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