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Quantification of nisin concentration from fluorescence‐based antimicrobial activity assay using Bayesian calibration

Biotechnology Progress, vol. 40, pp. e3495

Abstract

Bacteriocins are ribosomally synthesized peptides with the innate ability to kill or inhibit growth of other bacteria. In recent years, bacteriocins have received increased interest, as their antimicrobial activity enhances food safety and shelf life by combatting pathogens such as Listeria monocytogenes. They also have application potential as an active pharmaceutical compound to combat multidrug-resistant pathogens. As new bacteriocins continue to be discovered, accelerated workflows for screening, identification, and process development have been developed. However, antimicrobial activity measurement is often still limited with regards to quantification and throughput. Here, we present the use of a non-linear calibration model to infer nisin concentrations in cultivation supernatants of Lactococcus lactis ssp. lactis B1629 using readouts of pHluorin2 fluorescence-based antimicrobial activity assays.

Authors 9

  1. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Institute of Biotechnology RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  2. Forschungszentrum Jülich

    Affiliation as printed

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  3. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Institute of Biotechnology RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  4. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Computational Systems Biotechnology (AVT.CSB) RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  5. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Computational Systems Biotechnology (AVT.CSB) RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  6. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Computational Systems Biotechnology (AVT.CSB) RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

  7. Universität Ulm

    Affiliation as printed

    Department of Biology Ulm University Ulm Germany

    Department of Biology, Ulm University, Ulm, Germany

  8. Universität Ulm

    Affiliation as printed

    Department of Biology Ulm University Ulm Germany

    Department of Biology, Ulm University, Ulm, Germany

  9. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Institute of Biotechnology RWTH Aachen University Aachen Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

    Institute of Bio‐ and Geosciences, IBG‐1: Biotechnology Forschungszentrum Jülich GmbH Jülich Germany

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References 28