Literature DB >> 29448770

Product interactions and feedback in diffusion-controlled reactions.

Rafael Roa1, Toni Siegl2, Won Kyu Kim2, Joachim Dzubiella2.   

Abstract

Steric or attractive interactions among reactants or between reactants and inert crowders can substantially influence the total rate of a diffusion-influenced reaction in the liquid phase. However, the role of the product species, which has typically different physical properties than the reactant species, has been disregarded so far. Here we study the effects of reactant-product and product-product interactions as well as asymmetric diffusion properties on the rate of diffusion-controlled reactions in the classical Smoluchowski-setup for chemical transformations at a perfect catalytic sphere. For this, we solve the diffusion equation with appropriate boundary conditions coupled by a mean-field approach on the second virial level to account for the particle interactions. We find that all particle spatial distributions and the total rate can change significantly, depending on the diffusion and interaction properties of the accumulated products. Complex competing and self-regulating (homeostatic) or self-amplifying effects are observed for the system, leading to both decrease and increase in the rates, as the presence of interacting products feeds back to the reactant flux and thus the rate with which the products are generated.

Year:  2018        PMID: 29448770     DOI: 10.1063/1.5016608

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Crowding within synaptic junctions influences the degradation of nucleotides by CD39 and CD73 ectonucleotidases.

Authors:  Hadi Rahmaninejad; Tom Pace; Byeong Jae Chun; Peter M Kekenes-Huskey
Journal:  Biophys J       Date:  2021-12-16       Impact factor: 4.033

2.  Co-localization and confinement of ecto-nucleotidases modulate extracellular adenosine nucleotide distributions.

Authors:  Hadi Rahmaninejad; Tom Pace; Shashank Bhatt; Bin Sun; Peter Kekenes-Huskey
Journal:  PLoS Comput Biol       Date:  2020-06-25       Impact factor: 4.475

  2 in total

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