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Predicting the Stability of Base-mediated C─H Carboxylation Adducts Using Data Science Tools
Maike Eckhoff1,2, Shubham Deolka2, Aleria Garcia-Roca2
1TU Braunschweig, Institute of Physical and Theoretical Chemistry, Gauss Str 17, 38106, Braunschweig, Germany.
This study introduces a computational method to predict the stability of carbon dioxide (CO2) adducts in organic synthesis. The workflow successfully identified stable CO2 adducts, validated by experimental results for carbanions.
Area of Science:
- Organic Chemistry
- Computational Chemistry
- Chemical Thermodynamics
Background:
- Base-mediated C-H carboxylation offers a route to utilize carbon dioxide (CO2) as a C1 building block.
- The thermodynamic stability of CO2 adducts limits this reaction to highly reactive nucleophiles.
Purpose of the Study:
- To develop a predictive computational workflow for assessing the stability of CO2 adducts.
- To identify novel carbon-centered nucleophiles capable of forming stable CO2 adducts.
Main Methods:
- Integration of quantum chemistry calculations with statistical modeling to predict CO2 affinity.
- Calculation of negative Gibbs free reaction energy to quantify adduct stability.
- Experimental validation using carbanions in DMSO.
Main Results:
- A predictive workflow was established to assess CO2 adduct stability.
- Sixty novel carbon-centered nucleophiles were computationally screened.
- Experimental validation confirmed predictions for five carbanions, distinguishing between stable and unstable adducts.
- Two additional carbanions predicted to form stable adducts were experimentally examined.
Conclusions:
- The computational workflow accurately predicts the stability of CO2 adducts.
- This approach expands the scope of CO2 utilization in organic synthesis by identifying suitable nucleophiles.
- The findings facilitate the design of new carboxylation reactions.
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