Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Application of mathematical optimization methods in microbiology

P Pilát, J Votruba, P Doberský

    Folia Microbiologica
    |January 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    The Internal Otic Region of Oromerycids (Artiodactyla, Oromerycidae), Early Camelids (Artiodactyla, Camelidae), and the Vicuña (Artiodactyla, Camelidae), Including Notes on Intraspecific and Subadult Ontogenetic Variation.

    Integrative organismal biology (Oxford, England)·2025
    Same author

    Interventional management of recurrent malignant pleural effusion: state of the art in 2021.

    Bratislavske lekarske listy·2021
    Same author

    Bronchoscopy in the Czech Republic in the past 45 years and the state in 2020.

    Bratislavske lekarske listy·2021
    Same author

    Zeitschrift fur Orthopadie und Unfallchirurgie·2018
    Same author

    Zentralblatt fur Chirurgie·2017
    Same author

    Zeitschrift fur Orthopadie und Unfallchirurgie·2017
    Same journal

    Molecular epidemiology and clinical course of PVL-positive MRSA CC398 infections.

    Folia microbiologica·2026
    Same journal

    Proline treatment improves salinity tolerance in the green microalga Dunaliella sp. by altering carbon partitioning and inducing metabolites accumulation.

    Folia microbiologica·2026
    Same journal

    Czechoslovak/Prague School of Immunology.

    Folia microbiologica·2026
    Same journal

    Anti-Candida albicans and anti-virulence activities of vaginal Lactobacillus strains from asymptomatic women: phenotypic characterization and prediction of antimicrobial peptide gene clusters.

    Folia microbiologica·2026
    Same journal

    The integrative role of the microbiome in systemic immuno-inflammatory aberrations.

    Folia microbiologica·2026
    Same journal

    Gnotobiology: from 19th-century global foundations to 21st-century omics - six decades of Czech contribution to microbiome research.

    Folia microbiologica·2026
    See all related articles

    This study compares optimization methods for microbiological processes. Rosenbrock

    Area of Science:

    • Microbiology
    • Biotechnology
    • Chemical Engineering
    • Applied Mathematics

    Background:

    • Mathematical methods for experiment design are underutilized in optimizing microbiological processes.
    • Traditional methods often simplify complex relationships into unidimensional optimizations, with the Box-Wilson gradient method being commonly employed.

    Purpose of the Study:

    • To review and assess various mathematical optimization methods for their applicability in microbiological processes.
    • To compare the efficacy of direct search methods versus gradient-based methods in microbial system optimization.

    Main Methods:

    • Review of optimization techniques from other scientific fields.
    • Classification of methods based on derivative requirements: direct search, gradient, and second-derivative methods.

    Related Experiment Videos

  • Parallel application of a modified Rosenbrock's direct search method and the Box-Wilson gradient method for yeast growth optimization.

    • Main Results:

    • The study classified optimization methods into direct search, gradient, and Newton-Raphson types.
    • A comparative analysis of the modified Rosenbrock's method and the Box-Wilson method was conducted.
    • Rosenbrock's method demonstrated superior suitability for optimizing multiparameter microbiological systems.

    Conclusions:

    • Mathematical optimization techniques, particularly direct search methods like Rosenbrock's, offer advantages over traditional approaches for microbiological process optimization.
    • The findings suggest a shift towards more sophisticated experimental design methods for enhanced efficiency and effectiveness in microbial process development.