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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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Author Correction: Engineering a GPCR-based yeast biosensor for a highly sensitive melatonin detection from fermented beverages.

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Engineering a GPCR-based yeast biosensor for a highly sensitive melatonin detection from fermented beverages.

Ricardo Bisquert¹, Alba Guillén¹, Sara Muñiz-Calvo^1,2

¹Department of Food Biotechnology, Instituto de Agroquímica y Tecnología de los Alimentos (CSIC), Avda. Agustín Escardino, 7, 46980, Paterna, Spain.

Scientific Reports

|August 1, 2024

Summary

This study optimized a yeast biosensor for detecting melatonin, a health-promoting molecule. The enhanced biosensor offers a rapid, cost-effective method for analyzing melatonin in fermented products and yeast production.

Keywords:

Biosensors Extensive screening GPCRs Melatonin Metabolic engineering Signal transduction

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Area of Science:

Biotechnology
Fermentation Science
Analytical Chemistry

Background:

Melatonin is a valuable health-promoting molecule with diverse biological roles.
Yeast can produce melatonin, but its low concentrations pose analytical challenges.
Current quantification methods for melatonin are often costly and complex.

Purpose of the Study:

To address the analytical challenges in quantifying yeast-produced melatonin.
To optimize a yeast biosensor for sensitive and cost-effective melatonin detection.
To enable deeper insights into melatonin's bioactivity in fermented products.

Main Methods:

Genetic modification of a yeast biosensor utilizing G protein-coupled receptors (GPCR).
Enhancement of biosensor sensitivity and fluorescent signal output.
Application of the optimized biosensor for screening yeast strains and analyzing wine samples.

Main Results:

Significantly improved sensitivity and fluorescence of the optimized yeast biosensor.
Successful screening of 101 yeast strains for melatonin production.
Detection and quantification of melatonin in various wine samples and yeast growth media.

Conclusions:

The optimized yeast biosensor provides a rapid and cost-effective analytical approach for melatonin.
This technology facilitates the exploration of melatonin production dynamics in yeast.
The findings highlight the potential of biosensor technology in fermentation science and functional food development.