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Cited by 425

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Advanced technologies for the remediation of pesticide-contaminated soils

Open access
Morillo, E., Villaverde, J.·2017·Science of The Total Environment

Abstract

The occurrence of pesticides in soil has become a highly significant environmental problem, which has been increased by the vast use of pesticides worldwide and the absence of remediation technologies that have been tested at full-scale. The aim of this review is to give an overview on technologies really studied and/or developed during the last years for remediation of soils contaminated by pesticides. Depending on the nature of the decontamination process, these techniques have been included into three categories: containment-immobilization, separation or destruction. The review includes some considerations about the status of emerging technologies as well as their advantages, limitations, and pesticides treated. In most cases, emerging technologies, such as those based on oxidation-reduction or bioremediation, may be incorporated into existing technologies to improve their performance or overcome limitations. Research and development actions are still needed for emerging technologies to bring them for full-scale implementation.

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Crossref · 10.1016/j.scitotenv.2017.02.020

Cites

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Metadata

Authors
Morillo, E., & Villaverde, J.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2017-05
Volume
586
Pages
576-597
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2588785093
Cited by
425
References
110
FWCI
15.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Advanced technologies for the remediation of pesticide-contaminated soils. https://app.cochat.ai/papers/10.1016/j.scitotenv.2017.02.020
The paper
Morillo, E., & Villaverde, J. (2017). Advanced technologies for the remediation of pesticide-contaminated soils. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2017.02.020

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.