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Study of heavy atom influence on poly-halogenated compounds using DP4/MM-DP4+/DP4+: insights and trends.
Passaglia, Lucas; Zanardi, María M; Sarotti, Ariel M.
Affiliation
  • Passaglia L; Instituto de Química Rosario (CONICET), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario 2000, Argentina. sarotti@iquir-conicet.gov.ar.
  • Zanardi MM; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, S2002QEO Rosario, Argentina.
  • Sarotti AM; Instituto de Investigaciones en Ingeniería Ambiental, Química y Biotecnología Aplicada (INGEBIO), Facultad de Química e Ingeniería del Rosario, Pontificia Universidad Católica Argentina, S2002QEO Rosario, Argentina.
Org Biomol Chem ; 22(12): 2435-2442, 2024 Mar 20.
Article in En | MEDLINE | ID: mdl-38416037
ABSTRACT
Nuclear magnetic resonance (NMR) spectroscopy complemented by density functional theory (DFT) calculations is a crucial tool for structural elucidation. Nevertheless, the precision of NMR predictions is influenced by the 'heavy atom effect', wherein heavy atoms affect the shielding values of neighboring light atoms (HALA effect). Standard practice in the field involves removing the conflicting signals. However, in the case of polyhalogenated molecules, this is challenging due to the significant amount of information that ends up being lost. In this study the HALA is thoroughly investigated in the context of three leading probability

methods:

DP4, MM-DP4+, and DP4+. The results show that DP4+ is more sensitive to C-Cl or C-Br signals, which is a consequence of the longer bond lengths computed with DFT. Removing conflicting signals is highly effective in DP4+, but has an uncertain outcome in methods based on molecular mechanics geometries, such as DP4 and MM-DP4+. A detailed investigation of the effect of bond distance on the corresponding chemical shifts has also been conducted.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Org Biomol Chem Journal subject: BIOQUIMICA / QUIMICA Year: 2024 Document type: Article Affiliation country: Argentina Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Org Biomol Chem Journal subject: BIOQUIMICA / QUIMICA Year: 2024 Document type: Article Affiliation country: Argentina Country of publication: United kingdom