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Validation of a Computational Model for Predicting the Site for Electrophilic Substitution in Aromatic Systems
KTH, School of Chemical Science and Engineering (CHE), Chemistry, Physical Chemistry.ORCID iD: 0000-0003-2673-075X
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2010 (English)In: Journal of Organic Chemistry, ISSN 0022-3263, E-ISSN 1520-6904, Vol. 75, no 14, 4696-4705 p.Article in journal (Refereed) Published
Abstract [en]

We have investigated the scope and limitations of a method for predicting the regioisomer distribution in electrophilic aromatic substitution reactions that are under kinetic control. This method is based on calculation of the relative stabilities of the sigma-complex intermediates using density functional theory. Predictions from this method can be used quantitatively for halogenations; it agreed to an accuracy of about 1 kcal/mol with experimental observations in 10 of the 11 investigated halogenation reactions. For nitrations, the method gave useful predictions for heterocyclic substrates. The method failed for nitration of monosubstituted benzenes, and we expect that more elaborate model systems, including explicit solvent molecules, will be necessary to obtain quantitatively useful predictions for such cases. For Lewis acid promoted Friedel Crafts acylations, the method can be expected to give qualitatively correct predictions, that is, to point out the dominating isomer. For substrates where the regioisomeric outcome is highly dependent on the reaction conditions, the method can only be of qualitative use if the concentration of the free Lewis acid is high during the reaction. We have also compared the predictive capacity of the method to that of a modern reactivity index, the average local ionization energy, I(r). The latter method is found to predict the regisolectivity in halogenations and nitrations qualitatively correctly if the positions for the I(r) minima (I-S,I-min) are not too sterically hindered but fails for qualitative predictions of F C reactions. The downscaled I-S,I-min values also perform well for the quantitative prediction of regioisomer distributions of halogenations. The accuracy is slightly lower than that for the new method.

Place, publisher, year, edition, pages
2010. Vol. 75, no 14, 4696-4705 p.
Keyword [en]
National Category
Chemical Sciences
URN: urn:nbn:se:kth:diva-29508DOI: 10.1021/jo100310vISI: 000279569500004ScopusID: 2-s2.0-77954549902OAI: diva2:394451
QC 20110202Available from: 2011-02-02 Created: 2011-02-02 Last updated: 2011-02-02Bibliographically approved

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