Dichotomy between heterotypic and homotypic interactions by a common chemical law

Literature Information

Publication Date 2021-07-09
DOI 10.1039/D1CP02171K
Impact Factor 3.676
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Abstract

It is now well established that chemical systems evolve as a function of the frequency at which their individual chemical components interact. This notion is seemingly embedded into a ubiquitous chemical law which proposes that the rate of elementary chemical interactions is proportional to the Product of Interactant Concentrations (PIC) by a rate constant. Here, it is shown that, while the PIC is always proportional to the frequency at which interactants simultaneously collide (Interactant Collision Frequency, or ICF), the coefficient of proportionality between PIC and ICF diverges as a function of the number of identical interactants, a property hereby defined as “homo-molecularity”. To eliminate the divergence between heterotypic and homotypic chemical interactions, the PIC must be divided by the factorial of homo-molecularity. Although this correction may not be practically essential for studies in which the homo-molecularity of chemical interactions is unchanged, it becomes critical when the goal is to compare interaction rates between similar chemical systems differing by their homo-molecularity, such as when interactants are purposefully modified for de novo design of heterotypic interactions, or when the goal is to compare theoretically-predicted rates of homotypic interactions with those that are empirically-determined by varying interactant concentrations.

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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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