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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Microbial Biosensors: Genetic Tools for Monitoring Soil Health

Authors: Netam, Pradeep Kumar; Porte, Meena;

Microbial Biosensors: Genetic Tools for Monitoring Soil Health

Abstract

Soil health is an integral determinant of agricultural productivity, ecosystem balance, and environmentalsustainability. Microbial biosensors, leveraging genetically engineered microbial strains, offer a novel approach to real-time, insitu monitoring of soil contaminants and nutrient dynamics. These biosensors are designed to detect specific chemical signals—ranging from heavy metals and pesticides to changes in pH and nitrogen content—by producing measurable outputs such asfluorescence, bioluminescence, or electrochemical signals. This article reviews the development and deployment of microbialbiosensors as tools for assessing soil health. It explores their underlying biological principles, integration into environmentalmonitoring frameworks, and potential to overcome the limitations of conventional soil assessment techniques. The paperemphasizes the importance of synthetic biology and CRISPR-based modulation in enhancing biosensor specificity and stability.Furthermore, it highlights successful case studies from agriculture, bioremediation, and land reclamation projects. Finally, thearticle discusses current challenges—such as environmental variability and regulatory hurdles—and future directions, includingfield-deployable biosensor platforms and wireless data integration. The findings underscore microbial biosensors’ transformativepotential in advancing precision agriculture and soil restoration practices through continuous and targeted ecologicalsurveillance.

Keywords

Soil health, Agricultural productivity, Ecosystem balance, Environmental sustainability, Microbial biosensors

  • BIP!
    Impact byBIP!
    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).
    0
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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