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Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...

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Emerging advances in biosensor technologies for quorum sensing signal molecules.

Xi Chen¹, Chen Wang², Qing Yin Zheng^1,3

¹School of Special Education and Rehabilitation, School of Stomatology, Binzhou Medical University, Yantai, 264003, China.

Analytical and Bioanalytical Chemistry

|November 28, 2024

Summary

This review highlights biosensors for detecting quorum sensing signal molecules (QSSMs). These advanced biosensors offer a portable and cost-effective alternative to traditional methods for monitoring microbial communication.

Keywords:

Biosensor Classification Detection Nanomaterials Quorum sensing signal molecules (QSSMs)

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Area of Science:

Microbiology
Biotechnology
Analytical Chemistry

Background:

Quorum sensing (QS) is a critical microbial communication system regulated by quorum sensing signal molecules (QSSMs).
Accurate QSSM detection is vital for controlling bacterial behavior and community dynamics.
Existing detection methods are often complex, expensive, and lack portability.

Purpose of the Study:

To review QSSM classification and conventional detection techniques.
To comprehensively summarize biosensor-based QSSM detection strategies.
To discuss future challenges and trends in biosensor development for QSSM analysis.

Main Methods:

Literature review focusing on QSSM classification and detection.
Categorization of biosensor research based on transduction mechanisms.
Analysis of current challenges and future prospects in biosensor technology.

Main Results:

Biosensors integrating nanomaterials offer significant advantages for QSSM detection.
Various transduction mechanisms are employed in biosensor designs for QSSM sensing.
Biosensors present a promising avenue for improved QSSM detection.

Conclusions:

Biosensors are pivotal for effective and efficient QSSM detection.
Further development is needed to address challenges and optimize biosensor performance.
This review provides insights into the evolving field of biosensing for microbial communication.