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Conformational Landscape of Tri-n-butyl Phosphate: Matrix Isolation Infrared Spectroscopy and Systematic Computational Analysis.
Ramanathan, N; Sundararajan, K; Viswanathan, K S.
Afiliação
  • Ramanathan N; Materials Chemistry and Metal Fuel Cycle Group, Indira Gandhi Centre for Atomic Research , Kalpakkam 603102, Tamil Nadu, India.
  • Sundararajan K; Materials Chemistry and Metal Fuel Cycle Group, Indira Gandhi Centre for Atomic Research , Kalpakkam 603102, Tamil Nadu, India.
  • Viswanathan KS; Department of Chemical Sciences, Indian Institute of Science Education & Research , Sector 81, Mohali 140306, Punjab, India.
J Phys Chem A ; 121(32): 6108-6121, 2017 Aug 17.
Article em En | MEDLINE | ID: mdl-28722409
ABSTRACT
The conformations of tri-n-butyl phosphate (TBP) were studied using matrix isolation infrared spectroscopy and density functional theory (DFT) calculations. TBP was trapped in a N2 matrix using both effusive and supersonic sources, and its infrared spectra were recorded. The computational exploration of TBP is a very demanding problem to confront, due to the presence of a large multitude of conformations in TBP. To simplify the problem, computations were done on model compounds, dimethyl butyl phosphate (DMBP) and dibutyl methyl phosphate (DBMP), to systematically arrive at the conformations of TBP that are expected to contribute to its chemistry at room temperature. Some predictive rules seem to simplify this complex conformational landscape problem. The predictive rules that were formulated enabled us to search the relevant portion of the conformational topography of this molecule. The computations were performed at the B3LYP level of theory using the 6-31++G(d,p) basis set. Vibrational wavenumber calculations were also performed for the various conformers to assign the infrared features of TBP, trapped in solid N2 matrix.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article