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Published on: August 22, 2018
The Azide-Allene Dipolar Cycloaddition: Is DFT Able to Predict Site- and Regio-Selectivity?
Giorgio Molteni1, Alessandro Ponti2
1Dipartimento di Chimica, Università degli Studi di Milano, via Golgi 19, 20133 Milano, Italy.
This study explores the selectivity of thermal cycloadditions between arylazides and allenes using computational methods. Findings reveal a nonpolar, one-step mechanism, aligning computational predictions with experimental results for these important organic reactions.
Area of Science:
- Organic Chemistry
- Computational Chemistry
- Reaction Mechanism
Background:
- 1,3-Dipolar cycloadditions are fundamental reactions in organic synthesis.
- Understanding the selectivity of these reactions is crucial for controlling product formation.
- Arylazides and allenes are key reaction partners with diverse electronic properties.
Purpose of the Study:
- To investigate the site- and regio-selectivity of thermal, uncatalyzed 1,3-dipolar cycloadditions.
- To compare conceptual reactivity indices and computational Density Functional Theory (DFT) approaches.
- To validate computational predictions against experimental data for arylazide-allene reactions.
Main Methods:
- Utilized conceptual DFT reactivity indices.
- Employed computational DFT methods (M08-HX, ωB97X-D, B3LYP).
- Performed DFT transition state calculations for experimental selectivity prediction.
- Analyzed 1H-NMR data for mechanistic insights.
Main Results:
- Both conceptual and computational DFT approaches indicate a nonpolar, one-step reaction mechanism.
- DFT transition state calculations achieved semiquantitative agreement with experimental site- and regio-selectivity.
- Investigated selectivity for various substituted allenes, including methoxycarbonyl-, sulfonyl-, tetramethyl-, and tetrafluoro-allenes.
- 1H-NMR provided evidence for a methylene-1,2,3-triazoline intermediate.
Conclusions:
- The study confirms a nonpolar, one-step mechanism for arylazide-allene cycloadditions.
- Computational DFT methods reliably predict experimental selectivity, validating their utility.
- The identified intermediate reinforces the accuracy of the computational scheme for mechanistic studies.
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