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Related Concept Videos

Microbial Growth Measurement: Direct Methods01:23

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Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
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High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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Microplate-based method for high-throughput screening of microalgae growth potential.

Jon Van Wagenen1, Susan Løvstad Holdt1, Davide De Francisci1

  • 1Technical University of Denmark, Department of Environmental Engineering, DTU Environment, Building 113, DK-2800 Kgs. Lyngby, Denmark.

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|August 9, 2014
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Microplate cultivation can accurately measure microalgae growth rates, crucial for predicting large-scale productivity. This method provides reliable data for modeling, overcoming scaling limitations.

Keywords:
MicroalgaeMicroplateModelingScreeningμ–I curve

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Area of Science:

  • * Biotechnology and Algal Research
  • * Sustainable Bio-production

Background:

  • * Microalgae cultivation in microplates presents challenges in replicating large-scale photobioreactor conditions (light, mixing, gas transfer).
  • * Direct scaling of volumetric productivity (P(v)) from microplates to photobioreactors is not feasible due to these parameter differences.

Purpose of the Study:

  • * To demonstrate the utility of microplates for measuring characteristic exponential growth rates.
  • * To determine the specific growth rate light intensity dependency (μ-I curve) for microalgae.
  • * To validate microplate-derived data as input for predictive models of volumetric productivity.

Main Methods:

  • * Repeated batch cultivation of Nannochloropsis salina and Chlorella sorokiniana in microplates under continuous light at varying intensities.
  • * Monitoring of specific growth rates using fluorescence measurements, offering higher sensitivity than optical density.
  • * Comparison of microplate data with datasets obtained from traditional photobioreactors.

Main Results:

  • * Microplates enabled the observation of exponential growth for several days, unhindered by gas transfer or self-shading.
  • * Fluorescence-based measurements provided sensitive and reliable data on microalgae growth dynamics.
  • * Microplate-generated datasets showed comparability to photobioreactor data.

Conclusions:

  • * Microplates are suitable for accurately determining microalgae specific growth rates and μ-I curves.
  • * Microplate data can be effectively used as input for models like the Huesemann model to predict volumetric productivity.
  • * This approach offers a scalable method for microalgae research and development, bridging the gap between lab-scale and industrial applications.