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Cited by 308

The DOI matches its Crossref record; 286 of the 286 references it cites were found in a registry or an index.

Malachite green “a cationic dye” and its removal from aqueous solution by adsorption

Open access
Raval, Nirav P., Shah, Prapti U., Shah, Nisha K.·2017·Applied Water Science

Abstract

Adsorption can be efficiently employed for the removal of various toxic dyes from water and wastewater. In this article, the authors reviewed variety of adsorbents used by various researchers for the removal of malachite green (MG) dye from an aqueous environment. The main motto of this review article was to assemble the scattered available information of adsorbents used for the removal of MG to enlighten their wide potential. In addition to this, various optimal experimental conditions (solution pH, equilibrium contact time, amount of adsorbent and temperature) as well as adsorption isotherms, kinetics and thermodynamics data of different adsorbents towards MG were also analyzed and tabulated. Finally, it was concluded that the agricultural solid wastes and biosorbents such as biopolymers and biomass adsorbents have demonstrated outstanding adsorption capabilities for removal of MG dye.

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Crossref · 10.1007/s13201-016-0512-2

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Metadata

Authors
Raval, N. P., Shah, P. U., & Shah, N. K.
Venue
Applied Water Science
Published
2016-12-18
Volume
7
Issue
7
Pages
3407-3445
ISSN
  • 2190-5487 (ISSN-L)
  • 2190-5495
OpenAlex
W2561788208
Cited by
308
References
286
FWCI
5.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Malachite green “a cationic dye” and its removal from aqueous solution by adsorption. https://app.cochat.ai/papers/10.1007/s13201-016-0512-2
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Raval, N. P., Shah, P. U., & Shah, N. K. (2017). Malachite green “a cationic dye” and its removal from aqueous solution by adsorption. Applied Water Science. https://doi.org/10.1007/s13201-016-0512-2

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.