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Cited by 278

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Au@TiO2 nanocomposites for the catalytic degradation of methyl orange and methylene blue: An electron relay effect

Open access
Khan, Mohammad Mansoob, Lee, Jintae, Cho, Moo Hwan·2014·Journal of Industrial and Engineering Chemistry

Abstract

Abstract Au@TiO 2 nanocomposites were used for the catalytic degradation of methyl orange and methylene blue by NaBH 4 . A detail pathway for step by step reduction, oxidation and complete mineralization of intermediates into the respective end-products was established by UV–vis spectroscopy, chemical oxygen demand, ion chromatography and cyclic voltammetry (CV). CV studies confirmed that the dyes were reduced and oxidized to the end-products by NaBH 4 in the presence of Au@TiO 2 nanocomposites and O 2 , OH and HO 2 radicals generated in situ. Results suggest that Au@TiO 2 nanocomposites not only assist in the decolorization of dyes, but also promote their complete mineralization into harmless end-products.

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Metadata

Authors
Khan, M. M., Lee, J., & Cho, M. H.
Venue
Journal of Industrial and Engineering Chemistry
Publisher
Elsevier BV
Published
2014-07
Volume
20
Issue
4
Pages
1584-1590
ISSN
1226-086X (ISSN-L)
OpenAlex
W1983046378
Cited by
278
References
24
FWCI
6.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Au@TiO2 nanocomposites for the catalytic degradation of methyl orange and methylene blue: An electron relay effect. https://app.cochat.ai/papers/10.1016/j.jiec.2013.08.002
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Khan, M. M., Lee, J., & Cho, M. H. (2014). Au@TiO2 nanocomposites for the catalytic degradation of methyl orange and methylene blue: An electron relay effect. Journal of Industrial and Engineering Chemistry. https://doi.org/10.1016/j.jiec.2013.08.002

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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.