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Cited by 1,217

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Phytoextraction of Toxic Metals

Lasat, Mitch M.·2002·Journal of Environment Quality

Abstract

Remediation of sites contaminated with toxic metals is particularly challenging. Unlike organic compounds, metals cannot be degraded, and the cleanup usually requires their removal. However, this energy-intensive approach can be prohibitively expensive. In addition, the metal removing process often employs stringent physicochemical agents which can dramatically inhibit soil fertility with subsequent negative impacts on the ecosystem. Phytoremediation has been proposed as a cost-effective, environmental-friendly alternative technology. A great deal of research indicates that plants have the genetic potential to remove many toxic metals from the soil. Despite this potential, phytoremediation is yet to become a commercially available technology. Progress in the field is hindered by a lack of understanding of complex interactions in the rhizosphere and plant-based mechanisms which allow metal translocation and accumulation in plants. In this paper, four research areas relevant to metal phytoextraction from contaminated soil are reviewed. The review concludes with an assessment of the current status of technology deployment and suggestions for future phytoremediation research.

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Metadata

Authors
Lasat, M. M.
Venue
Journal of Environment Quality
Publisher
Wiley
Published
2002
Volume
31
Issue
1
Pages
109
ISSN
  • 0047-2425 (ISSN-L)
  • 1537-2537
OpenAlex
W2162833757
Cited by
1,217
References
8
FWCI
37.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Phytoextraction of Toxic Metals. https://app.cochat.ai/papers/10.2134/jeq2002.0109
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Lasat, M. M. (2002). Phytoextraction of Toxic Metals. Journal of Environment Quality. https://doi.org/10.2134/jeq2002.0109

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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.