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Entropy within the Cell01:22

Entropy within the Cell

11.0K
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...
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

3.0K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
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Second Law of Thermodynamics02:49

Second Law of Thermodynamics

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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...
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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Related Experiment Video

Updated: Aug 22, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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Information, Entropy, Life, and the Universe.

Arieh Ben-Naim1

  • 1Department of Physical Chemistry, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.

Entropy (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

This article clarifies the framework of applicability for the Shannon measure of information (SMI) and Entropy. It examines their use in understanding living systems and the universe, addressing common confusions.

Keywords:
Shannon’s measure of informationentropyinformationlife and the universethe second lawthermodynamics

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Area of Science:

  • Information Theory
  • Thermodynamics
  • Physics
  • Biology

Background:

  • The Shannon measure of information (SMI) and Entropy are fundamental concepts.
  • Existing literature often exhibits confusion regarding their applicability.
  • A prior book by the author explored these topics in 2015.

Purpose of the Study:

  • To define the Shannon measure of information and Entropy.
  • To delineate the framework of applicability for both concepts.
  • To investigate whether living systems and the universe fall within this framework.

Main Methods:

  • Conceptual analysis and definition of SMI and Entropy.
  • Examination of the scope and limitations of their applicability.
  • Literature review to identify sources of confusion.

Main Results:

  • The study clarifies the precise definitions of SMI and Entropy.
  • It establishes the boundaries for the applicability of these concepts.
  • Ignorance of these boundaries is identified as a primary cause of confusion.

Conclusions:

  • Understanding the framework of applicability is crucial for correct use of SMI and Entropy.
  • The concepts of SMI and Entropy have specific domains where they can be accurately applied.
  • This clarification aims to reduce ambiguity in scientific discourse.