
Proceedings Paper
The use of theoretical and experimental methods of Raman spectroscopy in the determination of unsaturated fatty acids in vegetable oilsFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
The Raman spectra of five samples of sunflower seed oil and five samples of cold-pressed olive oil of various brands are recorded in the range of 500–2000 cm–1. Within the framework of the B3LYP/631G(d)/6-31G(d,p)/6-31+G(d,p)/6- 311G(d)/6-311G(d, p)/6-311+G(d,p) methods, the structural models of eight fatty acids (oleic, linoleic, palmitic, stearic, α-linolenic, arachidonic, eicosapentaenoic, and docosahexaenoic) are constructed, and also within the framework of the B3LYP/6-31G(d) method, the structural models of triglycerides of the first four of the above acids are obtained. The vibrational wavenumbers and intensities in the IR and Raman spectra are calculated. The Raman spectra of olive oil and sunflower seed oil were simulated by using the supermolecular approach. We investigated the dependence of the relative intensity of the vibrational bands νexp = 1660 and 1445 cm–1 on the concentration of triglycerides in oils of oleic and linoleic acids and the dependence of the intensity of these bands on the degree of saturation of fatty acids. Experimental and empirical dependences are constructed to estimate the relative concentration of triglycerides of oleic and linoleic acids in a mixture of olive oil and sunflower seed oil. The applicability of the density functional theory together with the vibrational spectroscopy for the identification of mixtures of vegetable oils is discussed.
Paper Details
Date Published: 3 June 2019
PDF: 7 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670W (3 June 2019); doi: 10.1117/12.2523319
Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)
PDF: 7 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670W (3 June 2019); doi: 10.1117/12.2523319
Show Author Affiliations
K. V. Berezin, Saratov State Univ. (Russian Federation)
K. N. Dvoretsky, Saratov State Technical Univ. (Russian Federation)
M. L. Chernavina, Saratov State Univ. (Russian Federation)
A. V. Novoselova, Saratov State Univ. (Russian Federation)
V. V. Nechaev, Saratov State Technical Univ. (Russian Federation)
K. N. Dvoretsky, Saratov State Technical Univ. (Russian Federation)
M. L. Chernavina, Saratov State Univ. (Russian Federation)
A. V. Novoselova, Saratov State Univ. (Russian Federation)
V. V. Nechaev, Saratov State Technical Univ. (Russian Federation)
E. M. Antonova, Astrakhan State Univ. (Russian Federation)
A. M. Lichter, Astrakhan State Univ. (Russian Federation)
V. V. Smirnov, Astrakhan State Univ. (Russian Federation)
O. N. Grechukhina, Caspian Univ. of Maritime and River Transport (Russian Federation)
M. V. Kartashov, Caspian Univ. of Maritime and River Transport (Russian Federation)
A. M. Lichter, Astrakhan State Univ. (Russian Federation)
V. V. Smirnov, Astrakhan State Univ. (Russian Federation)
O. N. Grechukhina, Caspian Univ. of Maritime and River Transport (Russian Federation)
M. V. Kartashov, Caspian Univ. of Maritime and River Transport (Russian Federation)
Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)
© SPIE. Terms of Use
