Cited by 128Arsenic contamination and mitigationEnvironmental remediation with nanomaterialsAdsorption and biosorption for pollutant removal

The removal of arsenic from water using natural iron oxide minerals

Aredes, Sonia, Klein, Bern, Pawlik, Marek·2013·Journal of Cleaner Production

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2012.10.035

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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Authors
Aredes, S., Klein, B., & Pawlik, M.
Affiliations
University of British Columbia (CA)
Corresponding author
Klein, Bern
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2013-12
Volume
60
Pages
71-76
ISSN
0959-6526 (ISSN-L)
OpenAlex
W4243161707
Cited by
128
References
6
Citations by year
2026: 7 · 2025: 5 · 2024: 11 · 2023: 18 · 2022: 14 · 2021: 20 · 2020: 15 · 2019: 9 · 2018: 5 · 2017: 4 · 2016: 8 · 2015: 4 · 2014: 6 · 2013: 2
FWCI
2.84
Type
journal article
Language
en
Open access
closed
Locations
Journal of Cleaner Production (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Arsenic contamination and mitigation
  • Physical Sciences › Engineering › Biomedical Engineering › Environmental remediation with nanomaterials
  • Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
Keywords
arsenic removal, groundwater contamination, iron oxide minerals, adsorption, hematite, magnetite, goethite, isoelectric point, specific ion adsorption, drinking water treatment, low-cost adsorbent, electroacoustic measurement, leaching tests, specific surface area

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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.

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