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Related Concept Videos

Green Algae01:21

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Green algae, also referred to as chlorophytes, are different from red algae in having the chloroplasts containing chlorophylls a and b, which give them their distinct green hue. However, they lack phycobiliproteins, preventing them from developing the red or blue-green pigmentation seen in red algae. In terms of photosynthetic pigment composition, green algae closely resemble plants and share a close evolutionary relationship with them. Taxonomically Green algae belong to Phylum Chlorophyta in...
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The group Stramenopiles include some phototrophic microorganisms. Members of this group possess flagella covered in numerous short, hairlike extensions, a feature that inspired the group's name, derived from the Latin words for "straw" and "hair." Some of the main categories of Stramenopiles include diatoms, golden algae, and brown algae.Diatoms are unicellular, photosynthetic eukaryotes, with over 200 known genera. They play a key role in the planktonic communities of both marine and...
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Red algae, also known as rhodophytes, are primarily found in marine environments, though some species inhabit freshwater and terrestrial ecosystems. These organisms exist in both unicellular and multicellular forms, with some multicellular varieties reaching macroscopic sizes.As phototrophic organisms, red algae contain chlorophyll a; however, their chloroplasts lack chlorophyll b. Instead, they possess phycobiliproteins, which serve as major light-harvesting pigments, similar to those found in...
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Related Experiment Video

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Towards a consensus-based biokinetic model for green microalgae - The ASM-A.

Dorottya S Wágner1, Borja Valverde-Pérez1, Mariann Sæbø1

  • 1Department of Environmental Engineering, Technical University of Denmark, Miljøvej, Building 113, 2800 Kgs. Lyngby, Denmark.

Water Research
|August 16, 2016
PubMed
Summary

A new mathematical model, ASM-A, simulates microalgal growth and nutrient recovery from wastewater. This model enhances photobioreactor design and process control for sustainable nutrient management.

Keywords:
Green microalgal growthNutrient storageParameter identifiabilityProcess modellingUncertainty and global sensitivity analysis

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Area of Science:

  • Environmental biotechnology
  • Biochemical engineering
  • Microalgal cultivation

Background:

  • Wastewater nutrient recovery using microalgae is crucial for sustainability.
  • Existing models lack comprehensive descriptions of microalgal growth coupled with nutrient removal.
  • Effective photobioreactor (PBR) design and control necessitate accurate process models.

Purpose of the Study:

  • To develop a mathematical model (ASM-A) for simulating green microalgal growth and nutrient dynamics.
  • To integrate photoautotrophic and heterotrophic growth, nutrient uptake/storage (Droop model), and decay processes.
  • To provide a framework for PBR process modeling using wastewater resources.

Main Methods:

  • Developed ASM-A based on the Activated Sludge Modelling (ASM) framework.
  • Utilized literature review and new experimental data for model identification.
  • Estimated model parameters using Latin Hypercube Sampling based Simplex (LHSS) with batch and sequenced batch experiments.
  • Validated the model using data from a 24-L PBR operated in sequenced batch mode.

Main Results:

  • ASM-A accurately describes microalgal biomass growth, ammonia, and phosphate concentrations.
  • The model effectively simulates phosphorus storage using estimated average parameter values.
  • Statistical analysis revealed variability in parameter values based on culture history and substrate availability, necessitating scenario-specific calibration.

Conclusions:

  • The developed ASM-A model provides a robust platform for simulating microalgal growth and nutrient recovery.
  • The model's accuracy in predicting biomass and nutrient concentrations supports its application in PBR design and control.
  • Further extensions of ASM-A can incorporate wastewater-specific factors for enhanced nutrient management strategies.