Spontaneous pattern formation with a well-defined periodicity
is
ubiquitous in nature. The Liesegang phenomenon is a chemical model
of such a spontaneous pattern formation. In this study, we investigated
the role of stochasticity in reaction–diffusion precipitation
processes by demonstrating the temperature dependence of spontaneous
symmetry breaking and helix formation in the Liesegang pattern with
CuCrO4 precipitates; experimental analysis and numerical
simulations based on reaction–diffusion equations were used.
At high temperatures, helices with no, single, and double branches
appeared in addition to the discrete parallel band characteristic
of the Liesegang phenomenon. The probability of helix formation increased
drastically when the experimental temperature during the pattern formation
exceeded 20 °C. Moreover, the spacing coefficient, quantitatively
representing the periodicity of obtained patterns, increased at high
temperatures. Numerical simulations were performed to investigate
the temperature dependence of the probability of helix formation and
spacing coefficients. The stochasticity of the initial chemical reaction,
which can trigger consequent nucleation and crystal growth, critically
affected the probability of helix formation and the spacing coefficient.
These features were explained in the framework of the prenucleation
model by considering the degree of stochasticity in the initial chemical
reaction step.