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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Stochastic chiral symmetry breaking process besides the deterministic one

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Author(s):
Silva-Dias, L. [1] ; Lopez-Castillo, A. [1]
Total Authors: 2
Affiliation:
[1] Univ Fed Sao Carlos UFSCar, Dept Quim, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Physical Chemistry Chemical Physics; v. 19, n. 43, p. 29424-29428, NOV 21 2017.
Web of Science Citations: 0
Abstract

In chiral symmetry breaking, populations with initial enantiomeric excess (EE) are probabilistically favored if statistical fluctuation is present, as in nature. Stochastic methods correctly describe chiral symmetry breaking by taking into account the quantitative enantiomeric difference (excess or deficiency) and the statistical fluctuation amplitude, which is inversely proportional to the absolute size of the populations involved. From this, we obtain a law, which indicates that such a favoring probability decreases exponentially {[}P(EE) = 1/(e(alpha EE) + 1)] with an initial enantiomeric deficiency mediated by statistical fluctuation. Obviously, chiral symmetry breaking equally favors populations without enantiomeric excess {[}P(0) = 1/ 2]. However, if deterministic methods are considered, chiral symmetry breaking will strictly favor the population with an initial enantiomeric excess (EE). To study these stochastic chiral symmetry breaking processes the autocatalytic Frank model was considered. Summarizing, our results show that the initial enantiomeric excesses are not entirely responsible for the final state configuration of autocatalytic finite systems. (AU)

FAPESP's process: 16/02601-0 - Homochiral state in chemical systems far from thermodynamic equilibrium: a stochastic approach
Grantee:Leonardo Silva Dias
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 10/11385-2 - Theoretical study of chemical systems
Grantee:Alejandro López Castillo
Support Opportunities: Regular Research Grants