The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Mitigation of environmental pollution by genetically engineered bacteria — Current challenges and future perspectives
Abstract
Industries are the paramount driving force for the economic and technological development of society. However, the flourishing industrialization and unimpeded growth of current production unit's result in widespread environmental pollution due to increased discharge of wastes loaded with baleful, hazardous, and carcinogenic contaminants. Physicochemical-based remediation means are costly, create a secondary disposal problem and remain inadequate for pollution mitigating because of the continuous emergence of new recalcitrant pollutants. Due to eco-friendly, social acceptance, and lesser health hazards, microbial bioremediation has received considerable global attention for pollution abatement. Moreover, with the recent advancement in biotechnology and microbiology, genetically engineered bacteria with high ability to remove environmental pollutants are widely used in the fields of environmental restoration, resulting in the bioremediation in a more viable and eco-friendly way. This review summarized the advantages of genetically engineered bacteria and their application in the treatment of a wide variety of environmental contaminants such as synthetic dyestuff, heavy metal, petroleum hydrocarbons, polychlorinated biphenyls, phenazines and agricultural chemicals which will include herbicides, pesticides, and fertilizers. Considering the risk of genetic material exchange by using genetically engineered bacteria, the challenges and limitations associated with the application of recombinant bacteria on contaminated sites are also discussed. An integrated microbiological, biological and ecological acquaintance accompanied by field engineering designs are the desired features for effective in situ bioremediation of hazardous waste polluted sites by recombinant bacteria.
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Cites
Potential use of algae for heavy metal bioremediation, a critical review
Zeraatkar, A. K., Ahmadzadeh, H., Talebi, A. F., Moheimani, N. R., & McHenry, M. P. (2016) · Journal of Environmental Management · doi:10.1016/j.jenvman.2016.06.059 · Cited by 595
Chen, H., Wang, R.-F., & Cerniglia, C. E. (2004) · Protein Expression and Purification · doi:10.1016/j.pep.2003.12.016 · Cited by 180
Cited by
Genetically engineered microorganisms for environmental remediation
Rafeeq, H., Afsheen, N., Rafique, S., Arshad, A., Intisar, M., Hussain, A., Bilal, M., & Iqbal, H. M. N. (2023) · Chemosphere · doi:10.1016/j.chemosphere.2022.136751 · Cited by 356
Self-citationSingh, A. K., Bilal, M., Iqbal, H. M. N., Meyer, A. S., & Raj, A. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145988 · Cited by 205
Self-citationPant, G., Garlapati, D., Agrawal, U., Prasuna, R. G., Mathimani, T., & Pugazhendhi, A. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.124631 · Cited by 180
Aziz, Z. S., Jazza, S. H., Dageem, H. N., Banoon, S. R., Balboul, B. A., & Abdelzaher, M. A. (2024) · Results in Engineering · doi:10.1016/j.rineng.2024.102083 · Cited by 70
Using Fungi in Artificial Microbial Consortia to Solve Bioremediation Problems
Efremenko, E., Stepanov, N., Senko, O., Aslanli, A., Maslova, O., & Lyagin, I. (2024) · Microorganisms · doi:10.3390/microorganisms12030470 · Cited by 61
Metadata
- Authors
- Liu, L., Bilal, M., Duan, X., & Iqbal, H. M. N.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 667
- Pages
- 444-454
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2915680370
- Cited by
- 318
- References
- 2
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- closed
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- Liu, L., Bilal, M., Duan, X., & Iqbal, H. M. N. (2019). Mitigation of environmental pollution by genetically engineered bacteria — Current challenges and future perspectives. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.02.390
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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