The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Microorganism remediation strategies towards heavy metals
Open accessAbstract
Abstract Heavy metal pollution, because of its high toxicity, non-biodegradability and biological enrichment, has seriously threatened the health of human beings and the stability of ecological system. The immobilization, removal and detoxification of active heavy metal ions in natural environment can be achieved through microbial activities. Because of its outstanding advantages including high efficiency, low cost and environment friendly, the development of high-efficiency biological techniques to clean up toxic metal wastes have already drawn scientists’ great attention. After millions of years of evolution, some microorganisms are resistant to heavy metal ions and able to remediate heavy metal pollution. However, the relationship of microbial resistance system and their remediation ability towards heavy metal ions is still unclear. To uncover the underneath, we summarized heavy metal bioremediation technologies as well as their detoxification pathways in this review, which will contribute to find their interconnections and develop more efficient bioremediation technologies. Additionally, the future potential of gene-editing associated and advanced material associated multi-functional bioremediation technologies have been put forward in this review.
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Citations
Cites
Removal of heavy metals from industrial wastewaters: a review
Azimi, A., Azari, A., Rezakazemi, M., & Ansarpour, M. (2017) · ChemBioEng Reviews · doi:10.1002/cben.201600010 · Cited by 1,267
Cited by
Elgarahy, A. M., Elwakeel, K. Z., Mohammad, S. H., & Elshoubaky, G. A. (2021) · Cleaner Engineering and Technology · doi:10.1016/j.clet.2021.100209 · Cited by 686
Insight on water remediation application using magnetic nanomaterials and biosorbents
Abdel Maksoud, M. I. A., Elgarahy, A. M., Farrell, C., Al-Muhtaseb, A. H., Rooney, D. W., & Osman, A. I. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2019.213096 · Cited by 374
The improved methods of heavy metals removal by biosorbents: A review
Qin, H., Hu, T., Zhai, Y., Lu, N., & Aliyeva, J. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2019.113777 · Cited by 359
Chen, Z., Zhang, Z., Qi, J., You, J., Ma, J., & Chen, L. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.129889 · Cited by 319
Self-citationRaklami, A., Meddich, A., Oufdou, K., & Baslam, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095031 · Cited by 283
Metadata
- Authors
- Yin, K., Wang, Q., Lv, M., & Chen, L.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 360
- Pages
- 1553-1563
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W2899232248
- Cited by
- 739
- References
- 1
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
