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ZENODO
Other literature type . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2020
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2020
License: CC BY
Data sources: Datacite
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International Journal of Scientific Research & Engineering Trends

Authors: Tiwari, Rahul Kumar; Chouksey, Sonali;

International Journal of Scientific Research & Engineering Trends

Abstract

Industrial sludge often contains toxic concentrations of heavy metals such as cadmium, lead, mercury, and chromium, posing significant environmental and public health risks. Conventional remediation techniques are often costly, inefficient, or generate secondary pollutants. In recent years, engineered microbial consortia have emerged as a sustainable and biologically robust solution for the detoxification of heavy metal-laden sludge. These consortia are composed of synergistically interacting microbial strains, each contributing distinct metabolic or binding capabilities that enhance overall detoxification performance. This study explores the role of genetically or selectively assembled microbial communities in metal biotransformation and immobilization processes. The article highlights mechanisms such as biosorption, bioaccumulation, enzymatic transformation, and bioprecipitation as pivotal pathways used by consortia to neutralize toxic metals. Laboratory-scale and pilot-scale applications have demonstrated promising results in reducing metal toxicity, improving sludge quality, and enabling potential reuse. Moreover, the use of multi-omics tools has refined the selection and optimization of functional strains, paving the way for tailor-made bioremediation strategies. This review integrates scientific findings from recent experiments and discusses the challenges, technological limitations, and future potential of engineered microbial consortia in industrial sludge management. Ultimately, such biotechnological interventions hold promise for transforming hazardous sludge into environmentally benign materials

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Keywords

Engineered microbial consortia, Heavy metal detoxification, Industrial sludge bioremediation, Synthetic microbial communities, Metal-resistant bacteria, Bioaugmentation, Bioreactor systems, Microbial heavy metal resistance

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green