The influence of the starch indicator on front waves in the iodate–arsenous acid system with applied electric fields

Literature Information

Publication Date 2002-04-26
DOI 10.1039/B110364B
Impact Factor 3.676
Authors

J. H. Merkin


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Abstract

The effects of the addition of a starch indicator to propagating reaction fronts in the iodate–arsenous acid system are considered, both experimentally and by the analysis of a model based on the Dushman–Roebuck kinetic scheme equipped with the complexation reaction between starch, I2 and I3−. Both the experiments and the model show that the starch affects front propagation by slowing the waves down, with an increasing reduction in speed as the starch concentration is increased. This changes the magnitude of the electric field that has to be applied in order to achieve changes in the local stoichiometry. Contrary to the experimental observations, the model shows that the boundaries between the different reaction outcomes are the same, when expressed in terms of the dimensionless parameter ψ = E/v (where E and v are dimensionless versions of the field strength and propagation velocity), as in a previous study by Forštová et al. (J. Phys. Chem., 2000, 104, 9136) where the effects of starch were not included.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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