Abstract
Turing patterns are a class of temporally stable, spatially periodic structures that arise from the interplay between reaction kinetics and diffusion processes. Originally proposed by Alan Turing, this mechanism has been widely recognized for its capacity to explain diverse natural phenomena. The chlorine dioxide–iodine–malonic acid (CDIMA) reaction remains one of the most extensively studied experimental systems for investigating Turing pattern formation. This work presents a reaction-diffusion batch system based on the CDIMA reaction, developed for use in instructional settings such as classroom demonstrations and undergraduate laboratory experiments. This system enables direct observation of Turing pattern formation with minimal laboratory equipment and facilitates student engagement with the principles governing self-organization and spatial patterning in chemical and biological systems. A second central aspect of this study is the examination of growth dynamics and their influence on pattern morphology. By varying the geometry and rate of domain expansion, the impact of growth on the evolution of pattern structure can be analyzed, providing a chemical analog to growth and development in biological contexts. Furthermore, to investigate pattern formation in heterogeneous environments, a two-domain system was designed using distinct complexing agents in each region. This configuration produces Turing patterns with different wavelengths across the interface, enabling analysis of pattern development and propagation at domain boundaries. These findings have broader implications for understanding pattern formation in chemical and biological complex systems.