Dúzs Brigitta, Holló Gábor, Kitahata Hiroyuki, Ginder Elliott, Suematsu Nobuhiko J, Lagzi István, Szalai István
Laboratory of Nonlinear Chemical Dynamics, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter stny. 1/A, H-1117, Budapest, Hungary.
University of Mainz, Duesbergweg 10-14, 55128, Mainz, Germany.
Commun Chem. 2023 Jan 3;6(1):3. doi: 10.1038/s42004-022-00800-6.
Turing instability is a general and straightforward mechanism of pattern formation in reaction-diffusion systems, and its relevance has been demonstrated in different biological phenomena. Still, there are many open questions, especially on the robustness of the Turing mechanism. Robust patterns must survive some variation in the environmental conditions. Experiments on pattern formation using chemical systems have shown many reaction-diffusion patterns and serve as relatively simple test tools to study general aspects of these phenomena. Here, we present a study of sinusoidal variation of the input feed concentrations on chemical Turing patterns. Our experimental, numerical and theoretical analysis demonstrates that patterns may appear even at significant amplitude variation of the input feed concentrations. Furthermore, using time-dependent feeding opens a way to control pattern formation. The patterns settled at constant feed may disappear, or new patterns may appear from a homogeneous steady state due to the periodic forcing.
图灵失稳是反应扩散系统中一种普遍且直接的图案形成机制，其相关性已在不同生物现象中得到证实。然而，仍存在许多悬而未决的问题，尤其是关于图灵机制的稳健性。稳健的图案必须在环境条件的某些变化下仍能存在。使用化学系统进行的图案形成实验已展示出许多反应扩散图案，并作为研究这些现象一般方面的相对简单的测试工具。在此，我们展示了一项关于输入进料浓度的正弦变化对化学图灵图案影响的研究。我们的实验、数值和理论分析表明，即使输入进料浓度有显著的幅度变化，图案仍可能出现。此外，采用随时间变化的进料为控制图案形成开辟了一条途径。在恒定进料下形成的图案可能会消失，或者由于周期性强迫，新的图案可能从均匀稳态中出现。
