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Microbial Biosensors

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Related Experiment Video

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TD-DFT Guided Advanced E-Eye Sensing Technique for On-site Quantification of Fe, Cr, F, and As in the Environmental, Biological, and Food Samples

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Evolved bacterial biosensor for arsenite detection in environmental water.

Luzhi Li^1,2, Junting Liang^1,2, Wei Hong¹

¹†Key Laboratory of Ion Beam Bioengineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences and Anhui Province, Hefei 230031, Anhui, People's Republic of China.

Environmental Science & Technology

|April 23, 2015

Summary

Researchers enhanced bacterial biosensors for detecting arsenic. Directed evolution improved sensitivity, enabling accurate detection of trace arsenic in environmental water samples.

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Area of Science:

Environmental Science
Microbiology
Biotechnology

Background:

Arsenic is a widespread environmental contaminant from natural and human sources.
Bacterial biosensors offer potential for detecting arsenic toxicity.
Existing biosensors have limitations in specificity, affinity, and sensitivity due to wild-type promoters.

Purpose of the Study:

To improve the sensitivity of arsenite-responsive bacterial biosensors.
To optimize the inducible operon for enhanced performance.
To demonstrate the utility of in vivo evolution for biosensor development.

Main Methods:

Developed an in vivo evolution procedure with a bidirectional selection scheme.
Utilized fluorescence-activated cell sorting (FACS) over three rounds.
Evolved the arsenite-induced arsR operon for low background and high expression.

Main Results:

Isolated an arsR operon variant with 12-fold higher activity compared to the control.
Demonstrated efficient optimization of bacterial biosensors through directed evolution.
The evolved biosensor showed excellent performance in detecting low levels of arsenite in water.

Conclusions:

Directed evolution technologies can significantly enhance bacterial biosensor performance.
Optimized biosensors are crucial for practical applications in environmental monitoring.
This approach promotes the wider adoption of bacterial biosensors for detecting toxic compounds.