Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 6,
  • Issue A,
  • pp. A227-A230
  • (1998)

Can near Infrared-Absorption Spectra Explain the Different Diffusivities of Substituted Benzenes and Alcohols in Octan-1-Ol?

Open Access Open Access

Abstract

The considerable diffusivity difference of substituted benzenes and of alcohols in octan-1-ol1 suggests a strong influence of specific solute-solvent interactions (hydrogen bonding). For the quantification of these effects we dried to detect correlations between the diffusion coefficients in octan-1-ol and the near infrared (NIR)-spectra of the solutions. In our study we chose four aliphatic alcohols, benzene, phenol and seven substituted benzenes. By means of different methods of multivariate analysis (PCR, PLS) we tested the possibilities of the classification and prediction of diffusion coefficients using NIR-spectra. From the preliminary results and under the usual assumption that NIR spectra refer to specific solute–solvent interactions it can be concluded that these interactions also play an important role in the diffusive transport mechanism in liquid octan-1-ol.

© 1998 NIR Publications

PDF Article
More Like This
The Near Infrared Absorption Spectra of Liquid Benzene and Toluene

James Barnes and W. H. Fulweiler
J. Opt. Soc. Am. 15(6) 331-336 (1927)

The Infrared Absorption Spectra of Mixtures of Alcohol and Water

Dudley Williams, R. D. Weatherford, and E. K. Plyler
J. Opt. Soc. Am. 26(4) 149-152 (1936)

Photocatalytic alkoxylation of benzene with 3-cyano-1-methylquinolinium ion

Kei Ohkubo, Takaki Kobayashi, and Shunichi Fukuzumi
Opt. Express 20(S2) A360-A365 (2012)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.