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

The estimation of microbial biomass.

C M Harris, D B Kell

    Biosensors
    |January 1, 1985
    PubMed
    Summary

    This review categorizes microbial biomass estimation methods by principle, speed, and automation. For sparse microbial populations, various methods are suitable, but physical methods enable real-time biomass estimation in high-density systems like fermentations.

    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

    Identification of potent and selective inhibitors of PKR via virtual screening and traditional design.

    Bioorganic & medicinal chemistry letters·2022
    Same author

    Supranuclear eye movements and nystagmus in children: A review of the literature and guide to clinical examination, interpretation of findings and age-appropriate norms.

    Eye (London, England)·2018
    Same author

    Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation.

    Scientific reports·2017
    Same author

    Real-time monitoring of the accretion of Rhizopus oligosporus biomass during the solid-substrate tempe fermentation.

    World journal of microbiology & biotechnology·2014
    Same author

    Stimulation by potassium ions of the growth of Rhizopus oligosporus during liquid-and solid-substrate fermentations.

    World journal of microbiology & biotechnology·2014
    Same author

    Examining change in social support and fruit and vegetable consumption in African American adults.

    The journal of nutrition, health & aging·2014

    Area of Science:

    • Microbiology
    • Biotechnology
    • Analytical Chemistry

    Background:

    • Accurate estimation of microbial biomass is crucial for various scientific and industrial applications.
    • Diverse methods exist, each with unique advantages and limitations.
    • Understanding these methods aids in selecting the most appropriate technique for specific contexts.

    Purpose of the Study:

    • To review and categorize existing methods for estimating microbial biomass content and nature.
    • To compare methods based on their underlying principles, speed, and automation levels.
    • To guide the selection of optimal microbial biomass estimation techniques.

    Main Methods:

    • Categorization of methods based on scientific principle: physical, chemical, biological, and mathematical/computational.
    • Classification by operational characteristics: real-time versus non-real-time estimation.
    • Assessment of automation and cost factors associated with different techniques.

    Main Results:

    • For sparse microbial populations, physical, chemical, and biological methods show comparable utility, especially when organism growth is used for signal enhancement.
    • In high microbial biomass environments, such as laboratory and industrial fermentations, physical methods alone are sufficient for real-time estimation.
    • Method selection depends on population density, required speed, and available resources.

    Conclusions:

    • The choice of microbial biomass estimation method is contingent upon the specific application and sample characteristics.
    • Physical methods offer advantages for real-time monitoring in high-biomass scenarios.
    • A comprehensive understanding of available methods facilitates efficient and accurate microbial biomass assessment.

    Related Experiment Videos