New approach: Solvent effects of benzaldehyde in aliphatic alcohol solvents with FT-IR spectroscopy and augmented vertex-adjacency matrices


KARA Y. S., KOPARAL S., TEKİN N., ÖMÜR N.

JOURNAL OF MOLECULAR STRUCTURE, cilt.1321, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1321
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.molstruc.2024.139815
  • Dergi Adı: JOURNAL OF MOLECULAR STRUCTURE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Chemical Abstracts Core, Chimica, Compendex, INSPEC
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

In this study of benzaldehyde (BNZ) in 7 aliphatic alcohol solvents, were undertaken to investigate the solvent/solute interaction with Fouirer Transform Infrared Spectroscopy (FT-IR), BNZ produced carbonyl group stretching vibration frequencies (nu(C=O)(1) and nu(C=O)(2)). In the present paper, nu(C=O)(1) and nu(C=O)(2) of BNZ are observed and correlated with the solvent acceptor number (AN), dipolarity/polarizability (pi*), hydrogen-bond donor acidity (alpha), hydrogen-bond acceptor basicity (beta), solvent polarity parameter [E-T(30)], KBM parameter (epsilon), boiling point (bp) and the linear solvation energy relationship (LSER) using single and multiple regression analysis. All calculations were performed for nu(C=O)(1) and nu(C=O)(2) and compared. nu(C=O)(1) was believed to correspond to a single hydrogen bonded BNZ-alcohol complex, while nu(C=O)(2) was believed to correspond to a multiple hydrogen bonded BNZ-alcohol complex and multiple hydrogen-bonded alcohol molecules. It was seen that LSER equation as multiple regression analysis was better than single regression analysis in explaining solute-solvent interactions due to the higher correlation coefficients obtained. The correlations of a set of the mathematical characteristics of the augmented vertex-adjacency matrices (AV-AM) obtained by the chemical structure of BNZ with solvent parameters and nu(C=O) were investigated. It was determined that the correlation factors (R-2 > 0.999) of the multiparameter regression models obtained using the matrix results were higher than the correlation factors (R-2 > 0.99) of the LSER equations including solvent parameters.