2016
DOI: 10.5935/0100-4042.20160026
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Turing Patterns in Chemical Systems

Abstract: publicado na web em 18/02/2016 TURING PATTERNS IN CHEMICAL SYSTEMS. Spontaneous pattern formation in reaction-diffusion systems was theoretically proposed by Alan M. Turing in 1952. His breakthrough conceptions of chemical self-organization were able to explain how patterns emerge in nature and the symmetry breaking, which are of utmost importance, for instance, in the context of origin of life. Along with the experimental observations in the Belousov-Zhabotinsky reaction and the development of the nonequilibr… Show more

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Cited by 4 publications
(8 citation statements)
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References 79 publications
(106 reference statements)
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“…49 Process 3 comprises a feedback process that is crucial for the dynamics of the CDIMA reaction. 6,49,50 The rate r 3 includes parameter α, the threshold concentration of [I − ] beyond which the suppressive impact of iodine becomes significant. 51 Notably, in this reaction step, iodide functions as a self-inhibitor.…”
Section: Ma I Ima I Hmentioning
confidence: 99%
See 1 more Smart Citation
“…49 Process 3 comprises a feedback process that is crucial for the dynamics of the CDIMA reaction. 6,49,50 The rate r 3 includes parameter α, the threshold concentration of [I − ] beyond which the suppressive impact of iodine becomes significant. 51 Notably, in this reaction step, iodide functions as a self-inhibitor.…”
Section: Ma I Ima I Hmentioning
confidence: 99%
“…Thus, PVA acts not only as a color indicator for the patterns, but also as a species that allows Turing patterns to form in the CDIMA reaction. 6,50 The investigation of Turing patterns is often carried out in open systems using a continuously fed unstirred reactor (CFUR), keeping the system far from equilibrium. 7 However, it also has been demonstrated that it is feasible to observe transient Turing patterns in the CDIMA reaction in a closed, batch system.…”
Section: Ma I Ima I Hmentioning
confidence: 99%
“…It was placed on one side against an optical glass window through which illumination was applied, and on the other side, it was coupled with a CSTR. A detailed description of the experimental apparatus is reported in ref . A 1510X DLP projector (Dell) was used to implement uniform visible white light illumination of the CFUR, while ultraviolet light, with a peak centered at 368 nm, was applied by a controlling module HLV2 series (CCS).…”
Section: Experimental Proceduresmentioning
confidence: 99%
“…Alan Turing demonstrated that these structures can be described by the following mathematical model: where u is an inhibitor and v an activator, f and g are the net change rates of these chemical substances and, D u and D v are the respective diffusion coefficients. Turing patterns appear when one of the solutions of the dynamic system, corresponding to a stable fixed point with no diffusivity, is unstable in the presence of diffusive processes (Nagao & Varela, 2016;Peña Pellicer, 2002). It is necessary to solve the following equations to find the system's solutions: f (u,v) =0 and g(u,v)=0.…”
Section: Pattern Formation At All Scales: Main Featuresmentioning
confidence: 99%
“…Depending on the nature of the dynamics, some chemical, physical or mixed instabilities may take place within the system (Guiu-Souto, et al, 2013;Nagao & Varela, 2016;Nicolis & Prigogine, 1977;Satnoianu, et al, 2010;Schwarzenberger, et al, 2014;Strogatz, 2001), and as a result, state-specific fluctuations are amplified resulting in a breaking of spatial symmetry and thus leading to the occurrence of structures and patterns. Non-equilibrium processes and states are studied through the formalism of non-equilibrium thermodynamic or thermodynamics of irreversible processes, either to determine transport coefficients described by the flows or to evaluate entropy generation through coordinates The theory of non-linear dynamical systems (Murray, 2003b;Strogatz, 2001) allows us to study the nature of instabilities (chemical, thermal, transport, hydrodynamic, etc.…”
Section: Dynamic and Thermodynamic Considerations Of Space-time Self-mentioning
confidence: 99%