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Cited by 448

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Facile Synthesis and Characterization of Fe/FeS Nanoparticles for Environmental Applications

Kim, Eun-Ju, Kim, Jae-Hwan, Azad, Abdul-Majeed, Chang, Yoon-Seok·2011·ACS Applied Materials & Interfaces

Abstract

Multicomponent nanoparticles containing two or more different types of functionalities show unique physical and chemical properties, leading to significantly enhanced performance. In this study, we have developed a new one-pot method to prepare Fe/FeS nanoparticles using dithionite at room temperature. The FeS precipitates on the Fe surface are formed by the interaction between dissolved iron species and hydrogen sulfide, one of the decomposition products of dithionite in solution. The resulting Fe/FeS nanoparticles have high surface area, good electrical conductivity, and strong magnetic responsivity. In addition, the Fe/FeS shows a much higher reactivity toward contaminants than the pure Fe nanoparticles. The above synthesized nanoparticles are successfully applied for the rapid removal of trichloroethylene (TCE) from water. The study reveals that Fe/FeS nanoparticles are a promising candidate for the efficient removal of pollutants.

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Metadata

Authors
Kim, E.-J., Kim, J.-H., Azad, A.-M., & Chang, Y.-S.
Venue
ACS Applied Materials & Interfaces
Published
2011-05-03
Volume
3
Issue
5
Pages
1457-1462
ISSN
  • 1944-8244 (ISSN-L)
  • 1944-8252
OpenAlex
W2312968524
Cited by
448
References
31
FWCI
3.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Facile Synthesis and Characterization of Fe/FeS Nanoparticles for Environmental Applications. https://app.cochat.ai/papers/10.1021/am200016v
The paper
Kim, E.-J., Kim, J.-H., Azad, A.-M., & Chang, Y.-S. (2011). Facile Synthesis and Characterization of Fe/FeS Nanoparticles for Environmental Applications. ACS Applied Materials & Interfaces. https://doi.org/10.1021/am200016v

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.