A review on control and abatement of soil pollution by heavy metals: Emphasis on artificial intelligence in recovery of contaminated soil.

Gautam, K; Sharma, P; Dwivedi, S; Singh, A; Gaur, VK; Varjani, S; Srivastava, JK; Pandey, A; Chang, J-S; Ngo, HH

A review on control and abatement of soil pollution by heavy metals: Emphasis on artificial intelligence in recovery of contaminated soil.

Gautam, K Sharma, P Dwivedi, S Singh, A Gaur, VK Varjani, S Srivastava, JK Pandey, A Chang, J-S Ngo, HH

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Environ Res, 2023, 225, pp. 115592
Issue Date:: 2023-05-15

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Field	Value	Language
dc.contributor.author	Gautam, K
dc.contributor.author	Sharma, P
dc.contributor.author	Dwivedi, S
dc.contributor.author	Singh, A
dc.contributor.author	Gaur, VK
dc.contributor.author	Varjani, S
dc.contributor.author	Srivastava, JK
dc.contributor.author	Pandey, A
dc.contributor.author	Chang, J-S
dc.contributor.author	Ngo, HH
dc.date.accessioned	2024-03-23T00:59:26Z
dc.date.available	2023-02-27
dc.date.available	2024-03-23T00:59:26Z
dc.date.issued	2023-05-15
dc.identifier.citation	Environ Res, 2023, 225, pp. 115592
dc.identifier.issn	0013-9351
dc.identifier.issn	1096-0953
dc.identifier.uri	http://hdl.handle.net/10453/177028
dc.description.abstract	"Save Soil Save Earth" is not just a catchphrase; it is a necessity to protect soil ecosystem from the unwanted and unregulated level of xenobiotic contamination. Numerous challenges such as type, lifespan, nature of pollutants and high cost of treatment has been associated with the treatment or remediation of contaminated soil, whether it be either on-site or off-site. Due to the food chain, the health of non-target soil species as well as human health were impacted by soil contaminants, both organic and inorganic. In this review, the use of microbial omics approaches and artificial intelligence or machine learning has been comprehensively explored with recent advancements in order to identify the sources, characterize, quantify, and mitigate soil pollutants from the environment for increased sustainability. This will generate novel insights into methods for soil remediation that will reduce the time and expense of soil treatment.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Environ Res
dc.relation.isbasedon	10.1016/j.envres.2023.115592
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	03 Chemical Sciences, 05 Environmental Sciences, 06 Biological Sciences
dc.subject.classification	Toxicology
dc.subject.classification	31 Biological sciences
dc.subject.classification	34 Chemical sciences
dc.subject.classification	41 Environmental sciences
dc.subject.mesh	Humans
dc.subject.mesh	Ecosystem
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Environmental Pollution
dc.subject.mesh	Metals, Heavy
dc.subject.mesh	Soil Pollutants
dc.subject.mesh	Soil
dc.subject.mesh	Humans
dc.subject.mesh	Metals, Heavy
dc.subject.mesh	Soil
dc.subject.mesh	Soil Pollutants
dc.subject.mesh	Ecosystem
dc.subject.mesh	Environmental Pollution
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Humans
dc.subject.mesh	Ecosystem
dc.subject.mesh	Artificial Intelligence
dc.subject.mesh	Environmental Pollution
dc.subject.mesh	Metals, Heavy
dc.subject.mesh	Soil Pollutants
dc.subject.mesh	Soil
dc.title	A review on control and abatement of soil pollution by heavy metals: Emphasis on artificial intelligence in recovery of contaminated soil.
dc.type	Journal Article
utslib.citation.volume	225
utslib.location.activity	Netherlands
utslib.for	03 Chemical Sciences
utslib.for	05 Environmental Sciences
utslib.for	06 Biological Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-23T00:59:20Z
pubs.publication-status	Published
pubs.volume	225

Abstract:

"Save Soil Save Earth" is not just a catchphrase; it is a necessity to protect soil ecosystem from the unwanted and unregulated level of xenobiotic contamination. Numerous challenges such as type, lifespan, nature of pollutants and high cost of treatment has been associated with the treatment or remediation of contaminated soil, whether it be either on-site or off-site. Due to the food chain, the health of non-target soil species as well as human health were impacted by soil contaminants, both organic and inorganic. In this review, the use of microbial omics approaches and artificial intelligence or machine learning has been comprehensively explored with recent advancements in order to identify the sources, characterize, quantify, and mitigate soil pollutants from the environment for increased sustainability. This will generate novel insights into methods for soil remediation that will reduce the time and expense of soil treatment.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/177028