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Related Concept Videos

Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
Energy Budgets and Reproductive Strategies00:51

Energy Budgets and Reproductive Strategies

Organisms must balance energy intake with the energy required for growth, maintenance, and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species reproduce only once in their lifetime, often investing most available resources into that single reproductive event. Iteroparous species, by contrast, reproduce multiple times over their lifetimes, typically allocating fewer resources to any single...
Biofuels01:25

Biofuels

The microbial conversion of organic matter into biofuels holds potential as a renewable energy source. Among biofuel sources, microalgae are recognized as a highly efficient and adaptable feedstock for biodiesel production, owing to their rapid biomass accumulation, elevated lipid productivity, and capacity to proliferate in diverse aquatic systems, including freshwater, marine, and wastewater habitats. Unlike terrestrial crops, microalgae do not compete for land and can achieve significantly...
Production Efficiency01:01

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Trophic Efficiency00:46

Trophic Efficiency

Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.

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Related Experiment Video

Updated: Jun 13, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

The biomass objective function.

Adam M Feist1, Bernhard O Palsson

  • 1GT Life Sciences, Inc., 10520 Wateridge Circle, San Diego, CA 92122, USA.

Current Opinion in Microbiology
|May 1, 2010
PubMed
Summary
This summary is machine-generated.

Flux balance analysis (FBA) uses biomass objective functions to predict cell growth. This review covers key issues in formulating these functions for accurate metabolic modeling.

Related Experiment Videos

Last Updated: Jun 13, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Area of Science:

  • Systems Biology
  • Metabolic Engineering
  • Computational Biology

Background:

  • Flux balance analysis (FBA) is a computational method to study cellular metabolism.
  • Predicting cell growth requires defining a biomass objective function in FBA.

Purpose of the Study:

  • To review fundamental challenges in formulating biomass objective functions for FBA.
  • To discuss the use of FBA for computing optimal metabolic states.

Main Methods:

  • Review of existing literature on Flux Balance Analysis.
  • Analysis of biomass objective function formulation in metabolic models.

Main Results:

  • Identified critical issues in defining biomass objective functions.
  • Highlighted the importance of accurate precursor proportions for growth prediction.

Conclusions:

  • Accurate biomass objective functions are essential for reliable FBA predictions.
  • Further research is needed to refine FBA methodologies for optimal growth state computation.