Homochirality as a Consequence of Thermodynamic Equilibrium?

Crusats, Joaquim; Veintemillas-Verdaguer, Sabino; Ribó, Josep M.

doi:10.1002/chem.200600580

Cited by 81 publications

(59 citation statements)

References 67 publications

(37 reference statements)

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“…[4] Although the practical execution of the process is remarkably simple, there has been much debate regarding its mechanistic details. [2,4,[5][6][7][8][9][10][11][12] There is consensus about the main processes that take place. Crystals of both enantiomorphs are continuously ground to small fragments, part of which dissolve, while at the same time the remaining larger crystals grow until they are crushed again.…”

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confidence: 99%

The Driving Mechanism Behind Attrition‐Enhanced Deracemization

et al. 2010

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Change of heart: A solution‐phase enantiomeric excess that has the handedness of the minor population of the solid phase is observed during grinding of a slurry of racemic conglomerate crystals. This excess is the driving force for a net flux of molecules from crystals of the minor handedness to crystals of the major handedness, thus explaining the complete deracemization of the solid phase (see picture: blue: S form, red: R form).

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confidence: 99%

The Driving Mechanism Behind Attrition‐Enhanced Deracemization

et al. 2010

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“…Finally, it should also be noted that claims for thermodynamic equilibrium as a driving force of symmetry breaking exist in the relevant literature [90,91]. It is necessary to further substantiate these claims based on a stochastic approach to thermodynamics.…”

Section: Discussionmentioning

confidence: 99%

The Role of Stochastic Models in Interpreting the Origins of Biological Chirality

Lente

2010

Symmetry

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This review summarizes recent stochastic modeling efforts in the theoretical research aimed at interpreting the origins of biological chirality. Stochastic kinetic models, especially those based on the continuous time discrete state approach, have great potential in modeling absolute asymmetric reactions, experimental examples of which have been reported in the past decade. An overview of the relevant mathematical background is given and several examples are presented to show how the significant numerical problems characteristic of the use of stochastic models can be overcome by non-trivial, but elementary algebra. In these stochastic models, a particulate view of matter is used rather than the concentration-based view of traditional chemical kinetics using continuous functions to describe the properties system. This has the advantage of giving adequate description of single-molecule events, which were probably important in the origin of biological chirality. The presented models can interpret and predict the random distribution of enantiomeric excess among repetitive experiments, which is the most striking feature of absolute asymmetric reactions. It is argued that the use of the stochastic kinetic approach should be much more widespread in the relevant literature.

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“…There are several outstanding problems (such as symmetry breaking problem and related problems [8][9][10][12][13][14][15][16][17][18][19]) which might be considered in information theory. I have introduced information theory concepts to the studies of structural stability and process spontaneity and tried hard to attack these problems myself before launching this journal 10 years ago and tried to present unambiguously my own main ideas.…”

Section: T Smentioning

confidence: 99%

Gibbs Paradox and the Concepts of Information, Symmetry, Similarity and Their Relationship

Lin

2008

Entropy

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We are publishing volume 10 of Entropy. When I was a chemistry student I was facinated by thermodynamic problems, particularly the Gibbs paradox. It has now been more than 10 years since I actively published on this topic [1][2][3][4]. During this decade, the globalized Information Society has been developing very quickly based on the Internet and the term "information" is widely used, but what is information? What is its relationship with entropy and other concepts like symmetry, distinguishability and stability? What is the situation of entropy research in general? As the Editor-in-Chief of Entropy, I feel it is time to offer some comments, present my own opinions in this matter and point out a major flaw in related studies. Definition of InformationWe are interested in the definition of information in the context of information theory. It is a surprise that a clear definition of the concept of "information" cannot be found in information theory textbooks. "Entropy as a measure of information" is confusing. I would like to propose a simple definition of information:Information ( I ) is the amount of the data after data compression.If the total amount of data is L, entropy ( S ) in information theory is defined as information loss, L S I = + . Let us consider a 100GB hard disk as an example: 100GB L =. A formatted hard disk will have 100GB S = and I = 0. Similar examples for defining information as the amount of data after compression are given in [5]. Based on this definition of information and the definition that (information theory) entropy is expressed as information loss, S L I = − , or in certain cases when the absolute values are unknown, S L I Δ = Δ − Δ , I was able to propose three laws of information theory [5]:

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Homochirality as a Consequence of Thermodynamic Equilibrium?

Cited by 81 publications

References 67 publications

The Driving Mechanism Behind Attrition‐Enhanced Deracemization

The Driving Mechanism Behind Attrition‐Enhanced Deracemization

The Role of Stochastic Models in Interpreting the Origins of Biological Chirality

Gibbs Paradox and the Concepts of Information, Symmetry, Similarity and Their Relationship

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