4.7 Article

Facile synthesis of Fe3O4@Cu(OH)2 composites and their arsenic adsorption application

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 299, Issue -, Pages 15-22

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2016.03.135

Keywords

Magnetic composites; Fe3O4@Cu(OH)(2); Arsenic; Adsorption; Magnetic separation

Funding

  1. National Natural Science Foundation of China [51374237, 51304252]
  2. Special Program on Environmental Protection for Public Welfare [201509050]

Ask authors/readers for more resources

A directly coating method, controlled double jet precipitation (CDJP), was developed for synthesizing magnetic Fe3O4@Cu(OH)(2) composites in combination of advantages of magnetic rapid separation and satisfactory adsorption performance. The morphology and structure of the composites were analyzed by SEM, TEM, XRD, FTIR, XPS and VSM techniques. Through controlling the reaction on Fe3O4 particles, directly coating of Cu(OH)(2) was successfully realized without the extra complicated procedures. The obtained Fe3O4@Cu(OH)(2) consists of micro particles of size around 250 nm coated with special leaflike nanomorphologies, possessing high saturation magnetization (from 56.5 to 98.84 emu g(-1)). As the amount of loaded Cu increased, As(V) removal of the composites augmented from 11.11 to 35.71 mg g(-1) far beyond that of reported traditional magnetic adsorbents. The adsorption isotherm was best fitted by Langmuir adsorption mode and the mechanism was mainly ascribed to the -OH functionality of the Fe3O4@Cu(OH)(2) composites and electrostatic attraction between As(V) species and Fe3O4@Cu(OH)(2) composites. The Fe3O4@Cu(OH)(2) composites is a promising candidate for treating arsenic contaminated water. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available