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Cited by 394

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.

Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution

Tang, Jiayi, Zhang, Jiachao, Ren, Liheng, Zhou, Yaoyu, Gao, Jun, Luo, Lin, Yang, Yuan, Peng, Qinghui, Huang, Hongli, Chen, Anwei·2019·Journal of Environmental Management

Abstract

Heavy metal contamination of soil has become a serious global issue because of their persistence in the environment and the non-biodegradable nature leading to their accumulation to toxic levels. In order to achieve early warning and prevent soil quality from deteriorating, it is necessary to select suitable indices to diagnose heavy metal pollution. Microbiological indices for monitoring soil pollution by heavy metals are gaining attention. However, the related researches are scattered, and critical review is imperative. This review is mainly to provide readers with an in-depth understanding of the merits and limitations of microbiological indices for heavy metals contaminated and remediated soils. Microbiological indicators include microbial abundance, community diversity and structure, functional activity. The changes of different microbiological indices and the mechanism of microbial response to heavy metal stress in soils are comprehensively summarized. Furthermore, research gaps and future directions of the microbial ecotoxicological diagnosis of soil contamination by heavy metals are also proposed and discussed.

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Metadata

Authors
Tang, J., Zhang, J., Ren, L., Zhou, Y., Gao, J., Luo, L., Yang, Y., Peng, Q., Huang, H., & Chen, A.
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2019-07
Volume
242
Pages
121-130
ISSN
0301-4797 (ISSN-L)
OpenAlex
W2942428496
Cited by
394
References
78
FWCI
12.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution. https://app.cochat.ai/papers/10.1016/j.jenvman.2019.04.061
The paper
Tang, J., Zhang, J., Ren, L., Zhou, Y., Gao, J., Luo, L., Yang, Y., Peng, Q., Huang, H., & Chen, A. (2019). Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2019.04.061

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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.