Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 303

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A review of the use of red mud as adsorbent for the removal of toxic pollutants from water and wastewater

Open access
Bhatnagar, Amit, Vilar, Vítor J.P., Botelho, Cidália M.S., Boaventura, Rui A.R.·2011·Environmental Technology

Abstract

Red mud (an aluminium industry waste) has received wide attention as an effective adsorbent for water pollution control, showing significant adsorption potential for the removal of various aquatic pollutants. In this review, an extensive list of red-mud-based adsorbents has been compiled and their adsorption capacities (maximum uptake value of the adsorbent for the pollutant or adsorbate being removed) for various aquatic pollutants (metal ions, dyes, phenolic compounds, inorganic anions) are presented. The review provides a summary of recent information obtained using batch studies and deals with the adsorption mechanisms involved. It is evident from the literature survey that red mud has been found to be efficient for the removal of various aquatic pollutants, especially arsenic and phosphate. However, there is still a need to investigate the practical utility of these adsorbents on a commercial scale.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/09593330.2011.560615

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 303

Metadata

Authors
Bhatnagar, A., Vilar, V. J. P., Botelho, C. M. S., & Boaventura, R. A. R.
Venue
Environmental Technology
Published
2011-02
Volume
32
Issue
3
Pages
231-249
ISSN
  • 0959-3330 (ISSN-L)
  • 1479-487X
OpenAlex
W1968251671
Cited by
303
References
3
FWCI
23.90
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A review of the use of red mud as adsorbent for the removal of toxic pollutants from water and wastewater. https://app.cochat.ai/papers/10.1080/09593330.2011.560615
The paper
Bhatnagar, A., Vilar, V. J. P., Botelho, C. M. S., & Boaventura, R. A. R. (2011). A review of the use of red mud as adsorbent for the removal of toxic pollutants from water and wastewater. Environmental Technology. https://doi.org/10.1080/09593330.2011.560615

Data sources

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.