The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A New Strategy for Heavy Metal Polluted Environments: A Review of Microbial Biosorbents
Open accessAbstract
Persistent heavy metal pollution poses a major threat to all life forms in the environment due to its toxic effects. These metals are very reactive at low concentrations and can accumulate in the food web, causing severe public health concerns. Remediation using conventional physical and chemical methods is uneconomical and generates large volumes of chemical waste. Bioremediation of hazardous metals has received considerable and growing interest over the years. The use of microbial biosorbents is eco-friendly and cost effective; hence, it is an efficient alternative for the remediation of heavy metal contaminated environments. Microbes have various mechanisms of metal sequestration that hold greater metal biosorption capacities. The goal of microbial biosorption is to remove and/or recover metals and metalloids from solutions, using living or dead biomass and their components. This review discusses the sources of toxic heavy metals and describes the groups of microorganisms with biosorbent potential for heavy metal removal.
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Cites
Heavy metals, occurrence and toxicity for plants: a review
Nagajyoti, P. C., Lee, K. D., & Sreekanth, T. V. M. (2010) · Environmental Chemistry Letters · doi:10.1007/s10311-010-0297-8 · Cited by 3,962
Gadd, G. M. (2009) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.1999 · Cited by 1,287
Heavy Metal Polluted Soils: Effect on Plants and Bioremediation Methods
Chibuike, G. U., & Obiora, S. C. (2014) · Applied and Environmental Soil Science · doi:10.1155/2014/752708 · Cited by 1,164
Arsenic — a Review. Part I: Occurrence, Toxicity, Speciation, Mobility
Bissen, M., & Frimmel, F. H. (2003) · Acta hydrochimica et hydrobiologica · doi:10.1002/aheh.200390025 · Cited by 916
A review with recent advancements on bioremediation-based abolition of heavy metals
Gaur, N., Flora, G., Yadav, M., & Tiwari, A. (2014) · Environ. Sci.: Processes Impacts · doi:10.1039/c3em00491k · Cited by 273
Cited by
Toxicity and Bioremediation of Heavy Metals Contaminated Ecosystem from Tannery Wastewater: A Review
Igiri, B. E., Okoduwa, S. I. R., Idoko, G. O., Akabuogu, E. P., Adeyi, A. O., & Ejiogu, I. K. (2018) · Journal of Toxicology · doi:10.1155/2018/2568038 · Cited by 933
Biological approaches to tackle heavy metal pollution: A survey of literature
Jacob, J. M., Karthik, C., Saratale, R. G., Kumar, S. S., Prabakar, D., Kadirvelu, K., & Pugazhendhi, A. (2018) · Journal of Environmental Management · doi:10.1016/j.jenvman.2018.03.077 · Cited by 689
Oleńska, E., Małek, W., Wójcik, M., Swiecicka, I., Thijs, S., & Vangronsveld, J. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140682 · Cited by 555
Zhang, H., Yuan, X., Xiong, T., Wang, H., & Jiang, L. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.125657 · Cited by 485
Bioremediation of environmental wastes: the role of microorganisms
Ayilara, M. S., & Babalola, O. O. (2023) · Frontiers in Agronomy · doi:10.3389/fagro.2023.1183691 · Cited by 437
Self-citation
Metadata
- Authors
- Ayangbenro, A., & Babalola, O.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2017-01-19
- Volume
- 14
- Issue
- 1
- Pages
- 94
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W2576077683
- Cited by
- 1,615
- References
- 5
- FWCI
- 64.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ayangbenro, A., & Babalola, O. (2017). A New Strategy for Heavy Metal Polluted Environments: A Review of Microbial Biosorbents. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph14010094
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.
