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Second Law of Thermodynamics00:53

Second Law of Thermodynamics

The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the chemical energy...
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Entropy within the Cell01:22

Entropy within the Cell

A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that is...
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).
First Law of Thermodynamics00:37

First Law of Thermodynamics

The First Law of Thermodynamics states that energy cannot be created or destroyed, only transformed. This can be demonstrated within a classic food web where light energy from the sun is harnessed as radiant energy by plants, converted into chemical energy, and stored as complex carbohydrates. The vegetation is then consumed by animals and during the digestion process, the sugars release energy as heat. The sugars also produce chemical energy that either gets used up doing work, stored in...

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Updated: Jun 14, 2026

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Maximum entropy production and plant optimization theories.

Roderick C Dewar1

  • 1Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra ACT 0200, Australia. roderick.dewar@anu.edu.au

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|April 7, 2010
PubMed
Summary
This summary is machine-generated.

This study proposes maximum entropy production (MEP) as a unifying thermodynamic principle for plant evolution, suggesting

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Last Updated: Jun 14, 2026

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Area of Science:

  • Plant Ecology
  • Thermodynamics
  • Evolutionary Biology

Background:

  • Plant ecologists use optimization theories based on natural selection to explain adaptive evolution.
  • Existing theories focus on maximizing objective functions (e.g., photosynthesis, growth) but lack quantified links to plant fitness.
  • Uncertainty exists regarding the most appropriate objective functions for these optimization theories.

Purpose of the Study:

  • To propose a thermodynamic perspective for understanding plant adaptive behavior and evolution.
  • To demonstrate how maximum entropy production (MEP) can unify existing plant optimization theories.
  • To introduce a new evolutionary paradigm: 'survival of the likeliest'.

Main Methods:

  • Viewing plants as non-equilibrium systems.
  • Applying the theoretical principle of maximum entropy production (MEP).
  • Analyzing MEP as a unifying concept for various plant optimization objective functions across different scales.

Main Results:

  • Maximum entropy production (MEP) unifies diverse plant optimization theories.
  • Different objective functions in plant ecology emerge as specific examples of entropy production at various spatio-temporal scales.
  • A statistical explanation for MEP suggests it represents the most probable states for biological systems.

Conclusions:

  • Maximum entropy production (MEP) provides a novel thermodynamic framework for plant evolution.
  • The concept of 'survival of the likeliest' extends evolutionary principles beyond individual organisms to ecosystems.
  • This thermodynamic approach offers a more robust and unified understanding of biological adaptation and evolution.