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Polyaniline nanorods dotted on graphene oxide nanosheets as a novel super adsorbent for Cr(vi)
Abstract
Hierarchical nanocomposites of polyaniline (PANI) nanorods array on graphene oxide (GO) nanosheets are successfully obtained by dilute polymerization under -20 °C. They exhibit excellent water treatment performance with a superb removal capacity of 1149.4 mg g(-1) for Cr(VI).
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Cited by
Graphene oxide: A promising nanomaterial for energy and environmental applications
Li, F., Jiang, X., Zhao, J., & Zhang, S. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.07.014 · Cited by 674
Self-citationPolymer-based nanocomposites for heavy metal ions removal from aqueous solution: a review
Zhao, G., Huang, X., Tang, Z., Huang, Q., Niu, F., & Wang, X. (2018) · Polymer Chemistry · doi:10.1039/c8py00484f · Cited by 531
Self-citation3D graphene/δ-MnO2 aerogels for highly efficient and reversible removal of heavy metal ions
Liu, J., Ge, X., Ye, X., Wang, G., Zhang, H., Zhou, H., Zhang, Y., & Zhao, H. (2016) · Journal of Materials Chemistry A · doi:10.1039/c5ta08106h · Cited by 304
Zhuang, Y., Yu, F., Chen, H., Zheng, J., Ma, J., & Chen, J. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta02738e · Cited by 283
Dong, Z., Wang, D., Liu, X., Pei, X., Chen, L., & Jin, J. (2014) · J. Mater. Chem. A · doi:10.1039/c3ta14751g · Cited by 269
Metadata
- Authors
- Zhang, S., Zeng, M., Xu, W., Li, J., Li, J., Xu, J., & Wang, X.
- Venue
- Dalton Transactions
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 42
- Issue
- 22
- Pages
- 7854
- ISSN
- 1477-9226 (ISSN-L)
- 1477-9234
- OpenAlex
- W2143777334
- Cited by
- 183
- References
- 0
- FWCI
- 19.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, S., Zeng, M., Xu, W., Li, J., Li, J., Xu, J., & Wang, X. (2013). Polyaniline nanorods dotted on graphene oxide nanosheets as a novel super adsorbent for Cr(vi). Dalton Transactions. https://doi.org/10.1039/c3dt50149c
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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.