Literature DB >> 22004133

Can quantum-mechanical calculations yield reasonable estimates of hydrogen-bonding acceptor strength? The case of hydrogen-bonded complexes of methanol.

Mawa Koné1, Bertrand Illien, Christian Laurence, Jérôme Graton.   

Abstract

The thermodynamics and some vibrational properties of hydrogen-bonded complexes of methanol with 23 hydrogen-bond acceptors (HBAs) have been determined in CCl(4) by FTIR spectrometry. The experimental sample contains carbon, nitrogen, oxygen, sulfur, fluorine, and chlorine organic bases and covers an energetic range of 13 kJ mol(-1) in the basicity scale (-ΔG), 22 kJ mol(-1) in the affinity scale (-ΔH), and 400 cm(-1) in the spectroscopic scale (Δν((OH))) (from benzene to trimethylphosphane oxide and amines). The experimental results in CCl(4) are compared to those computed in the gas phase at various levels of theory. Ninety five percent of the variance of the red shift and 89% of the variance of the intensification of the OH stretching upon hydrogen bonding are explained by gas-phase B3LYP/6-31+G(d,p) calculations. However, this level does not satisfactorily explain the thermodynamic properties. Only 68% of the variance of the methanol affinity (-ΔH) is taken into account. MP2/aug-cc-pVTZ//B3LYP/6-31+G(d,p) affinity calculations raise the explanation to 77% for all HBAs and to 93% when three outliers (Me(2)SO, Me(3)PO, and tetrahydrothiophene) are excluded. Discrepancies are analyzed in terms of experimental errors, calculation approximations, and solvation.
© 2011 American Chemical Society

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22004133     DOI: 10.1021/jp209200w

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  2 in total

1.  Theoretical investigation on the structure and thermodynamic properties of the 2,4-dinitroimidazole complex with methanol.

Authors:  Shu-sen Zhao; Wen-jing Shi; Jian-long Wang
Journal:  J Mol Model       Date:  2012-07-29       Impact factor: 1.810

2.  Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies.

Authors:  Christoph A Bauer; Gisbert Schneider; Andreas H Göller
Journal:  J Cheminform       Date:  2019-09-11       Impact factor: 5.514

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.