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      A DFT investigation of the blue bottle experiment: E half-cell analysis of autoxidation catalysed by redox indicators

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          Abstract

          The blue bottle experiment is a collective term for autoxidation reactions catalysed by redox indicators. The reactions are characterized by their repeatable cycle of colour changes when shaken/left to stand and intricate chemical pattern formation. The blue bottle experiment is studied based on calculated solution-phase half-cell reduction potential of related reactions. Our investigation confirms that the reaction in various versions of the blue bottle experiment published to date is mainly the oxidation of an acyloin to a 1,2-dicarbonyl structure. In the light of the calculations, we also propose new non-acyloin reducing agents for the experiment. These results can help guide future experimental studies on the blue bottle experiment.

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          Calculation of solvation free energies of charged solutes using mixed cluster/continuum models.

          We derive a consistent approach for predicting the solvation free energies of charged solutes in the presence of implicit and explicit solvents. We find that some published methodologies make systematic errors in the computed free energies because of the incorrect accounting of the standard state corrections for water molecules or water clusters present in the thermodynamic cycle. This problem can be avoided by using the same standard state for each species involved in the reaction under consideration. We analyze two different thermodynamic cycles for calculating the solvation free energies of ionic solutes: (1) the cluster cycle with an n water cluster as a reagent and (2) the monomer cycle with n distinct water molecules as reagents. The use of the cluster cycle gives solvation free energies that are in excellent agreement with the experimental values obtained from studies of ion-water clusters. The mean absolute errors are 0.8 kcal/mol for H(+) and 2.0 kcal/mol for Cu(2+). Conversely, calculations using the monomer cycle lead to mean absolute errors that are >10 kcal/mol for H(+) and >30 kcal/mol for Cu(2+). The presence of hydrogen-bonded clusters of similar size on the left- and right-hand sides of the reaction cycle results in the cancellation of the systematic errors in the calculated free energies. Using the cluster cycle with 1 solvation shell leads to errors of 5 kcal/mol for H(+) (6 waters) and 27 kcal/mol for Cu(2+) (6 waters), whereas using 2 solvation shells leads to accuracies of 2 kcal/mol for Cu(2+) (18 waters) and 1 kcal/mol for H(+) (10 waters).
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            Single-ion solvation free energies and the normal hydrogen electrode potential in methanol, acetonitrile, and dimethyl sulfoxide.

            The division of thermodynamic solvation free energies of electrolytes into contributions from individual ionic constituents is conventionally accomplished by using the single-ion solvation free energy of one reference ion, conventionally the proton, to set the single-ion scales. Thus, the determination of the free energy of solvation of the proton in various solvents is a fundamental issue of central importance in solution chemistry. In the present article, relative solvation free energies of ions and ion-solvent clusters in methanol, acetonitrile, and dimethyl sulfoxide (DMSO) have been determined using a combination of experimental and theoretical gas-phase free energies of formation, solution-phase reduction potentials and acid dissociation constants, and gas-phase clustering free energies. Applying the cluster pair approximation to differences between these relative solvation free energies leads to values of -263.5, -260.2, and -273.3 kcal/mol for the absolute solvation free energy of the proton in methanol, acetonitrile, and DMSO, respectively. The final absolute proton solvation free energies are used to assign absolute values for the normal hydrogen electrode potential and the solvation free energies of other single ions in the solvents mentioned above.
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              Comment on the Correct Use of Continuum Solvent Models

                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society Publishing
                2054-5703
                November 2017
                8 November 2017
                8 November 2017
                : 4
                : 11
                : 170708
                Affiliations
                [1 ]Science Division, Mahidol University International College, Mahidol University , Salaya, Nakhon Pathom 73170, Thailand
                [2 ]National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency , Khlong Luang, Pathum Thani 12120, Thailand
                [3 ]Department of Chemical Engineering, McGill University , Quebec H3A 0C5, Canada
                Author notes
                Author for correspondence: Taweetham Limpanuparb e-mail: taweetham.lim@ 123456mahidol.edu

                Electronic supplementary material is available online at https://dx.doi.org/10.6084/m9.figshare.c.3918658.

                Author information
                http://orcid.org/0000-0002-8558-6199
                Article
                rsos170708
                10.1098/rsos.170708
                5717635
                29291061
                caeb7714-c7d3-4dde-bf7d-4fa0833decb3
                © 2017 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 10 July 2017
                : 5 September 2017
                Funding
                Funded by: Institute for the Promotion of Teaching Science and Technology;
                Award ID: 08/2557
                Funded by: Mahidol University International College;
                Award ID: 001/2016
                Categories
                1002
                39
                45
                150
                Chemistry
                Research Article
                Custom metadata
                November, 2017

                blue bottle experiment,reduction potential,density functional theory,chemical pattern formation,reaction mechanism

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