Literature DB >> 25800270

Akaganeite decorated graphene oxide composite for arsenic adsorption/removal and its proconcentration at ultra-trace level.

Ming-Li Chen1, Yan Sun1, Chun-Bao Huo1, Chen Liu1, Jian-Hua Wang2.   

Abstract

Carboxylic graphene oxide (GO-COOH) is decorated with akaganeite (β-FeOOH) to produce a β-FeOOH@GO-COOH nanocomposite. The nanocomposite acts as an efficient adsorption medium for the uptake of arsenite and arsenate within a wide range of pH 3-10, providing high adsorption capacities of 77.5mgg(-1) for As(III) and 45.7mgg(-1) for As(V), respectively. Adsorption efficiencies of 100% and 97% are achieved for 5 successive operation cycles for the removal of 100μgL(-1) As(V) and As(III) in 5 fresh portions of aqueous solution (1.0mL for each) with 3mg nanocomposite. After 20 successive adsorption cycles, removal efficiency of >80% is still maintained for both arsenate and arsenite. Further, a removal efficiency of >90% is obtained for 1000μgL(-1) As(V) with 3mg β-FeOOH@GO-COOH for 5 successive adsorption cycles, and the presence of 2000-fold SO4(2-), NO3(-), Cl(-) and Mg(2+) pose no interfering effect. β-FeOOH@GO-COOH also provides a promising medium for the preconcentration of ultra-trace inorganic arsenic. 1mg of nanocomposite is used to adsorb 0.1-3.00μgL(-1) As(V) in 4.0mL solution, and the retained arsenate is recovered by 400μL of NaOH (2molL(-1), containing 2.0% NaBH4), followed by detection with atomic fluorescence spectrometry. A detection limit of 29ngL(-1) is obtained for arsenate. This procedure is validated by analyzing arsenic in a certified reference material (GBW 09101b) and further applied for arsenic determination in water samples.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Akaganeite/graphene oxide composite; Arsenic removal; Atomic fluorescence spectrometry; Preconcentration; Solid phase extraction

Mesh:

Substances:

Year:  2015        PMID: 25800270     DOI: 10.1016/j.chemosphere.2015.02.046

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  7 in total

1.  Bioinspired 2D carbon sheets decorated with MnFe2O4 nanoparticles for preconcentration of inorganic arsenic, and its determination by ICP-OES.

Authors:  Hilal Ahmad; Uzma Haseen; Khalid Umar; Mohd Shaban Ansari; Mohamad Nasir Mohamad Ibrahim
Journal:  Mikrochim Acta       Date:  2019-08-27       Impact factor: 5.833

Review 2.  Carbon-based sorbents and their nanocomposites for the enrichment of heavy metal ions: a review.

Authors:  Beshare Hashemi; Shahabaldin Rezania
Journal:  Mikrochim Acta       Date:  2019-07-26       Impact factor: 5.833

3.  Adsorption of arsenic from water and its recovery as a highly active photocatalyst.

Authors:  Rodrigo C Hott; Thaina G Andrade; Mayra S Santos; Anne C F Lima; Márcia C S Faria; Cleide A Bomfeti; Fernando Barbosa; Luiz F O Maia; Luiz C A Oliveira; Márcio C Pereira; Jairo L Rodrigues
Journal:  Environ Sci Pollut Res Int       Date:  2016-08-18       Impact factor: 4.223

4.  Adsorption of ng L-1-level arsenic by ZIF-8 nanoparticles: application to the monitoring of environmental water.

Authors:  Durga Parajuli; Kiwamu Sue; Akira Takahashi; Hisashi Tanaka; Tohru Kawamoto
Journal:  RSC Adv       Date:  2018-10-25       Impact factor: 4.036

5.  Enhanced removal of As (V) from aqueous solution using modified hydrous ferric oxide nanoparticles.

Authors:  Lijuan Huo; Xibai Zeng; Shiming Su; Lingyu Bai; Yanan Wang
Journal:  Sci Rep       Date:  2017-01-18       Impact factor: 4.379

6.  Ceria nanoparticles deposited on graphene nanosheets for adsorption of copper(II) and lead(II) ions and of anionic species of arsenic and selenium.

Authors:  Anna Baranik; Anna Gagor; Ignasi Queralt; Eva Marguí; Rafal Sitko; Beata Zawisza
Journal:  Mikrochim Acta       Date:  2018-04-23       Impact factor: 5.833

Review 7.  A critical review on arsenic removal from water using iron-based adsorbents.

Authors:  Linlin Hao; Mengzhu Liu; Nannan Wang; Guiju Li
Journal:  RSC Adv       Date:  2018-11-27       Impact factor: 4.036

  7 in total

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