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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Integrating Nanotechnology and Bacteria-Based Remediation: A Synergistic Approach to Mitigating Climate Change and Soil Degradation in Agriculture

Authors: Hafiz Usman Haider; Esha Arshad; Muhammad Ali Amir; Nida Zafar; Ibrahim Akhtar; Muhammad Tauseef Ahmad; Kamran Saeed; +2 Authors

Integrating Nanotechnology and Bacteria-Based Remediation: A Synergistic Approach to Mitigating Climate Change and Soil Degradation in Agriculture

Abstract

This review explores the synergistic integration of nanotechnology and bacteria-based remediation techniques to address critical challenges in agriculture, specifically soil degradation and climate change. By leveraging the unique properties of nanoparticles and the natural processes of soil bacteria, these combined approaches enhance soil carbon sequestration, improve soil health, and effectively remediate heavy metal-contaminated soils. The review examines real-world applications, case studies, and the potential risks associated with these technologies, while also discussing the challenges of scaling them for widespread use. The findings underscore the transformative impact of nanotechnology-enhanced bacterial processes on sustainable agriculture and call for interdisciplinary research and collaboration to fully realize their potential in mitigating environmental degradation and supporting global food security.

Keywords

Nanotechnology, Bacteria-based remediation, Soil carbon sequestration, Heavy metal remediation, Sustainable agriculture

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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.
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    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