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Related Experiment Videos

Internal response correction for fluorescent whole-cell biosensors.

Mara Mirasoli1, Jessika Feliciano, Elisa Michelini

  • 1Department of Pharmaceutical Sciences, University of Bologna, Bologna, Italy.

Analytical Chemistry
|December 25, 2002
PubMed
Summary

This study developed a bacterial biosensor with an internal reference system to correct for matrix interferences in analytical chemistry. This innovation enhances the reliability of whole-cell biosensors for real-world sample analysis.

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Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Microbiology

Background:

  • Whole-cell biosensors offer selective analyte recognition but suffer from nonspecific matrix effects and environmental interferences.
  • Limited real-world applications of biosensors are reported due to challenges in analyzing complex sample matrices.
  • Nonspecific effects can significantly alter biosensor responses, hindering accurate quantitative analysis.

Purpose of the Study:

  • To develop a bacterial biosensor with an internal correction mechanism to overcome nonspecific interferences.
  • To enhance the reliability and accuracy of whole-cell biosensors for real sample analysis.
  • To create a robust sensing platform capable of dynamic evaluation of cellular metabolic activity.

Main Methods:

  • Engineered a bacterial strain with two reporter genes: one for analyte detection (GFPuv for L-arabinose) and one for internal reference (EYFP).
Keywords:
Non-programmatic

Related Experiment Videos

  • Utilized a constant inducer (IPTG) for constitutive EYFP expression, providing a reference signal.
  • Varied L-arabinose concentrations to establish a dose-response curve, with EYFP levels normalizing the analytical signal.

    • Main Results:

    • The dual-reporter system successfully generated a dose-response curve for L-arabinose with a stable internal EYFP reference signal.
    • The internal reference system effectively corrected analytical responses under non-optimal conditions, including the presence of ethanol and deoxycholic acid.
    • Demonstrated dynamic evaluation of cellular metabolic activity through constitutive EYFP production.

    Conclusions:

    • The developed bacterial biosensor with an internal reference mechanism significantly improves the accuracy and reliability of analyte quantification in complex samples.
    • This approach overcomes critical limitations of whole-cell biosensors, enabling broader application in analytical chemistry.
    • The internal correction system provides a robust solution for mitigating nonspecific interferences in biosensing applications.