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

Krishna Gautam; Poonam Sharma; Shreya Dwivedi; Amarnath Singh; Vivek Kumar Gaur; Sunita Varjani; Janmejai Kumar Srivastava; Ashok Pandey; Jo-Shu Chang; Huu Hao Ngo

doi:10.1016/j.envres.2023.115592

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

Environ Res. 2023 May 15:225:115592. doi: 10.1016/j.envres.2023.115592. Epub 2023 Feb 28.

Authors

Affiliations

¹ Centre for Energy and Environmental Sustainability, Lucknow, India.
² Department of Bioengineering, Integral University, Lucknow, India.
³ Institute for Industrial Research & Toxicology, Ghaziabad, Lucknow, India.
⁴ Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.
⁵ Centre for Energy and Environmental Sustainability, Lucknow, India; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India; School of Energy and Chemical Engineering, UNIST, Ulsan, 44919, Republic of Korea. Electronic address: vivekgaur9864@gmail.com.
⁶ School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248 007, India. Electronic address: drsvs18@gmail.com.
⁷ Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India.
⁸ Centre for Energy and Environmental Sustainability, Lucknow, India; Centre for Innovation and Translational Research, CSIR-Indian Institute of Toxicology Research, Lucknow, 226 001, India; Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248 007, India.
⁹ Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan.
¹⁰ Centre for Technology in Water and Wastewater, School of Civil and Environmental, Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia.

PMID: 36863654
DOI: 10.1016/j.envres.2023.115592

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.

Keywords: Artificial intelligence; Microbial remediation; Omics approaches; Soil pollution.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Ecosystem
Environmental Pollution / prevention & control
Humans
Metals, Heavy* / analysis
Soil
Soil Pollutants* / analysis
Soil Pollutants* / toxicity

Substances

Metals, Heavy
Soil Pollutants
Soil