Web of Science: 19 citations, Scopus: 20 citations, Google Scholar: citations,
Superparamagnetic iron oxide nanoparticle-loaded polyacrylonitrile nanofibers with enhanced arsenate removal performance
Morillo Martín, Diego (LEITAT Technological Center (Barcelona))
Faccini, M. (LEITAT Technological Center (Barcelona))
Amantia, David. (LEITAT Technological Center (Barcelona))
Pérez González, Gustavo (Universitat Autònoma de Barcelona. Departament de Química)
García, M. A. (Centre d'Excel·lència en Nanotecnología Leitat Xile)
Valiente Malmagro, Manuel (Universitat Autònoma de Barcelona. Departament de Química)
Aubouy, Laurent (LEITAT Technological Center (Barcelona))

Date: 2016
Abstract: Novel nanocomposite sorbents of superparamagnetic iron oxide nanoparticles (SPION) supported onto electrospun polyacrylonitrile nanofibers were synthesized by a simple and scalable method. The influence of both nanofiber size and SPION loading on As(V) adsorption capacity was studied and optimization was conducted. A maximum uptake capacity of 32. 5 mmol As(V) per gram SPION in batch mode tests using an extremely low loading of only 2. 9 mg of SPION per gram of adsorbent was achieved. This represents a remarkable improvement of 36 times compared with SPION in suspension. The optimal material was tested in continuous flow operation mode, reaching an adsorption capacity of 851. 7 mg As(V) per gram of adsorbent at pH 3. 8. It is also demonstrated that the new adsorbents can retain high performance when tested under real conditions using polluted wastewater from a lixiviation dump containing a large amount of competing anions (Cl- and F- ) and interfering cations (K+, Na+, Mg2+, and Ca2+). Furthermore, there was no release of nanoparticles observed during the operation and the spent porous material can be compressed, generating a small amount of solid waste that can be easily treated or stored.
Grants: European Commission 609550
Rights: Tots els drets reservats.
Language: Anglès
Document: Article ; recerca ; Versió acceptada per publicar
Published in: Environmental science. Nano, Vol. 3 (2016) , p. 1165-1173, ISSN 2051-8161

DOI: 10.1039/c6en00167j


Post-print
9 p, 2.6 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2017-03-20, last modified 2023-06-28



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