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Cited by 972

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Chemical sequential extraction for metal partitioning in environmental solid samples.

Filgueiras, A. V., Lavilla, I., Bendicho, C.·2002·Journal of Environmental Monitoring

Abstract

A comprehensive review of the sequential extraction schemes for metal fractionation in environmental samples (ie., sediment, soil, sewage sludge, fly ash, etc.) is presented. The review contains more than 400 references and covers principally the literature published over the last decade. The use of each reagent involved in these schemes is looked at critically, and guidelines for their selectivity and extraction capacity are given. The operational character of these schemes is emphasised. Topics such as comparability between sequential extraction schemes of widespread use, harmonisation, acceleration, validation, etc. are addressed and future developments outlined.

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Crossref · 10.1039/b207574c

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Metadata

Authors
Filgueiras, A. V., Lavilla, I., & Bendicho, C.
Venue
Journal of Environmental Monitoring
Published
2002-10-16
Volume
4
Issue
6
Pages
823-857
ISSN
  • 1464-0325 (ISSN-L)
  • 1464-0333
OpenAlex
W2111641049
Cited by
972
References
2
FWCI
15.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chemical sequential extraction for metal partitioning in environmental solid samples. https://app.cochat.ai/papers/10.1039/b207574c
The paper
Filgueiras, A. V., Lavilla, I., & Bendicho, C. (2002). Chemical sequential extraction for metal partitioning in environmental solid samples. Journal of Environmental Monitoring. https://doi.org/10.1039/b207574c

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.