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Updated: Jul 31, 2025

Quantitative Hardness Measurement by Instrumented AFM-indentation
Published on: November 22, 2016
Can we predict ambident regioselectivity using the chemical hardness?
Ramón Alain Miranda-Quintana1, Alberto Vela2, Frank De Proft3
1Department of Chemistry and Quantum Theory Project, University of Florida, Gainesville, FL 32603, USA. quintana@chem.ufl.edu.
The local hard/soft acid/base (HSAB) principle often fails in predicting chemical reactions. This study reveals a flawed premise in its proof, highlighting the need to consider charge reorganization within molecules for accurate predictions.
Area of Science:
- Chemistry
- Chemical Reactivity
- Theoretical Chemistry
Background:
- The hard/soft acid/base (HSAB) principle is fundamental to understanding chemical reactivity.
- A "local" version of the HSAB principle was developed to predict regioselectivity in reactions.
- Experimental data frequently contradicts predictions made by the local HSAB principle.
Purpose of the Study:
- To re-examine the assumptions underlying the standard proof of the local HSAB rule.
- To identify the flaws in the existing theoretical framework.
- To propose revised models for predicting regioselectivity.
Main Methods:
- Analysis of the assumptions in the standard proof of the local HSAB rule.
- Theoretical examination of charge transfer and reorganization in reacting molecules.
- Development of new regioselectivity models based on revised principles.
Main Results:
- The standard proof of the local HSAB rule is based on a flawed premise.
- Accurate regioselectivity prediction requires considering charge reorganization within non-reacting molecular parts, not just charge transfer.
- New models accounting for charge reorganization have been derived.
Conclusions:
- The local HSAB principle, as currently formulated, is unreliable for predicting regioselectivity.
- Incorporating molecular charge reorganization is crucial for advancing the HSAB principle.
- The proposed reorganization models offer a more accurate framework for chemical reactivity predictions.
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