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Cited by 291

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Natural zeolite utilisation in pollution control: A review of applications to metals' effluents

Kesraoui‐Ouki, Sabéha, Cheeseman, Christopher R., Perry, Roger·1994·Journal of Chemical Technology & Biotechnology

Abstract

This paper assesses the potential of natural zeolite utilization as a low‐cost ion‐exchange and sorbent material in pollution control and recovery of metals. The improvement of the purity of natural zeolites coupled with their chemical modification capabilities in order to provide specific properties may provide a cost‐effective alternative for the treatment of heavy metal contaminated soil and water. The application of natural zeolites in industrial pollution control is becoming important and the level of technical effort is increasingly expanding. The extent of application is unlikely to be related solely to their low cost, but also to improved properties and performance characteristics, which will advance the practical implementation of natural zeolites' technology.

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Crossref · 10.1002/jctb.280590202

Cites

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Metadata

Authors
Kesraoui‐Ouki, S., Cheeseman, C. R., & Perry, R.
Venue
Journal of Chemical Technology & Biotechnology
Publisher
Wiley
Published
1994-02
Volume
59
Issue
2
Pages
121-126
ISSN
  • 0142-0356 (ISSN-L)
  • 0268-2575
  • 1097-4660
OpenAlex
W2004048563
Cited by
291
References
17
FWCI
10.08
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Natural zeolite utilisation in pollution control: A review of applications to metals' effluents. https://app.cochat.ai/papers/10.1002/jctb.280590202
The paper
Kesraoui‐Ouki, S., Cheeseman, C. R., & Perry, R. (1994). Natural zeolite utilisation in pollution control: A review of applications to metals' effluents. Journal of Chemical Technology & Biotechnology. https://doi.org/10.1002/jctb.280590202

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.