In-depth insight into structure-reactivity/regioselectivity relationship of Lewis acid catalyzed cascade 4πe-cyclization/dicycloexpansion reaction
The Lewis acid-catalyzed tittle reaction of 1,3-dicycloalkenlidine ketones is recognized as so far the shortest and most effective 1-step method for construction of angular tricyclic scaffolds, which are extensively found in bioactive terpenoids. Here, a further kinetic study of this reaction with 30 reaction examples is carried out using in situ IR technology and DFT calculation. That enables the creation of well-fitted linear relationships of lnk/(ΔG<sub>1</sub><sup>‡</sup>/T), ΔG<sub>1</sub><sup>‡</sup>/ΔG<sub>2</sub>, ln(k/k<sub>H</sub>)/σ<sub>p</sub>, reflecting the structure's effect on reactivity/selectivity, and validating the reaction mechanism. Particularly highlighted is that substituents C1-R<sup>1</sup>/C3-R<sup>2</sup> activate this reaction in the order: alkyl ≈ aryl >> aryl S-, halogen, alkyl O-, and alkyl N-. While electron-withdrawing R<sup>1</sup>/R<sup>2</sup> will inactivate this reaction. When R<sup>1</sup> = R<sup>2</sup> = Me and m = 4, the reactivity of n-membered substrates follow the order of ring's size: 3 > 4 > 7 > 6 > 5. Then, DFT calculations combined with machine learning algorithms establish a prediction model for first cycloexpansion (i e. regioselectivity). Electron-donating R<sup>1</sup>/R<sup>2</sup> can direct preferentially the first cycloexpansion of its near ring in the order: alkyl > aryl > halogen ≈ alkyl O- > alkyl N- > aryl S-, which can be fitted into the relationship as ΔΔG/(ΔΔG-R<sup>1</sup>, ΔΔG-R<sup>2</sup>, ΔΔG-m, ΔΔG-n) or ΔΔG/(m-rse, m-ra, n-rse, n-ra, R<sup>1</sup>-σ<sub>p</sub>, R<sup>2</sup>-σ<sub>p</sub>). When R<sup>1</sup> and R<sup>2</sup> show the similar electronic effect, the first cycloexpansion of m/n takes place in the order of ring's size: 4 > 5 > 6, 7, 8 > 3. Six examples are successfully validated by model prediction and then experiment. In this work, structure-reactivity relationship and regioselectivity predicting model are established.
Authors
- Yunpeng Wang (ORCID: https://orcid.org/0000-0002-9740-9544)
- Xiao‐Ming Zhang (ORCID: https://orcid.org/0000-0002-9294-9672)
- Panpan Zhou (ORCID: https://orcid.org/0000-0001-8111-8155)
- Fu‐Min Zhang (ORCID: https://orcid.org/0000-0001-5578-1148)
- Yong‐Qiang Tu (ORCID: https://orcid.org/0000-0002-9784-4052)
- Ka Lu
- Jiaqi Li (ORCID: https://orcid.org/0009-0004-6018-9834)
- Kai Li (ORCID: https://orcid.org/0000-0001-5782-8317)
- Kun Fang (ORCID: https://orcid.org/0000-0001-7405-9951)
- Zi-Hao Li (ORCID: https://orcid.org/0000-0002-6145-3260)
Institutions
- Shanghai Jiao Tong University (CN)
- State Key Laboratory of Clean Energy Utilization
- Zhejiang University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1038/s41467-025-57859-7
- Citations
- 5
- Primary Topic
- Catalytic C–H Functionalization Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.68
Funders
- National Natural Science Foundation of China-Yunnan Joint Fund