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Cited by 597

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Synthesis of Hierarchically Structured Metal Oxides and their Application in Heavy Metal Ion Removal

Hu, Jin‐Song, Zhong, Liang‐Shu, Song, Wei‐Guo, Wan, Li‐Jun·2008·Advanced Materials

Abstract

Hierarchically structured metal oxides have two or more levels of structure. Their nanometer‐sized building blocks provide a high surface area, a high surface‐to‐bulk ratio, and surface functional groups that can interact with, e.g., heavy metal ions. Their overall micrometer‐sized structure provides desirable mechanical properties, such as robustness, facile species transportation, easy recovery, and regeneration. In combination these features are suitable for the removal of heavy metal ions from water. Several general synthesis routes for the fabrication of metal oxides with various morphologies and hierarchical structures are discussed including soft and hard template‐assisted routes. These routes are general, reliable, and environmentally friendly methods to prepare transition and rare earth metal oxides, including cobalt oxide, iron oxide, and ceria. As‐prepared hierarchically structured metal oxides show excellent adsorption capacities for As V and Cr VI ions in water.

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Crossref · 10.1002/adma.200800623

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Metadata

Authors
Hu, J., Zhong, L., Song, W., & Wan, L.
Venue
Advanced Materials
Publisher
Wiley
Published
2008-08-04
Volume
20
Issue
15
Pages
2977-2982
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2060208463
Cited by
597
References
1
FWCI
28.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesis of Hierarchically Structured Metal Oxides and their Application in Heavy Metal Ion Removal. https://app.cochat.ai/papers/10.1002/adma.200800623
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Hu, J., Zhong, L., Song, W., & Wan, L. (2008). Synthesis of Hierarchically Structured Metal Oxides and their Application in Heavy Metal Ion Removal. Advanced Materials. https://doi.org/10.1002/adma.200800623

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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.