Calibration (regression) of spectrometers for determination of triglycerides of fatty acids in foods and serum

 
PIIS086858860002812-5-1
DOI
Publication type Article
Status Published
Authors
Affiliation: Institute for Spectroscopy of the Russian Academy of Sciences
Address: Russian Federation
Affiliation: National Medical Research Cardiology Center of the Ministry of Health of the RF
Address: Russian Federation
Journal nameNauchnoe priborostroenie
EditionVolume 28 Issue 4
Pages45-48
Abstract

Triglycerides of fatty acids (TGFA) form an important part of human nutrition. The spectrometry of TGFA has obvious advantages over conventional chromatography and is possible with at least three types of nearinfrared spectrometers. The report presents the results of calibration of these spectrometers by the regression method on latent structures to determine the content of clinically significant TGFA in food, preparations and blood serum of cardiac patients.

Keywordsfatty acids, near infrared spectrometry, regression to latent structures
Received02.12.2018
Publication date03.12.2018
Cite   Download pdf To download PDF you should sign in
Размещенный ниже текст является ознакомительной версией и может не соответствовать печатной

views: 1169

Readers community rating: votes 0

1. Titov V.N. Klinicheskaya biokhimiya zhirnykh kislot, lipidov i lipoproteinov. M., Tver': OOO "Izd-vo "Triada", 2008. 272 c.

2. Orlova T.I., Ukolov A.I., Savel'eva E.I., Radilov A.S. Opredelenie svobodnykh i ehterifitsirovannykh zhirnykh kislot v plazme krovi metodom gazovoj khromatografii s mass-selektivnym detektirovaniem // Analitika i kontrol'. 2015. T. 19, № 2. S. 183– 188. Doi: 10.15826/analitika.2015.19.2.002.

3. Wold S., Sjostrom M., Eriksson L. PLS regression: a basic tool of chemometrics // Chem. Intelligent. Lab. Syst. 2001. Vol. 58, no. 2. P. 109–130. Doi: 10.1016/S0169-7439(01)00155-1.

4. Kalinin A.V., Krasheninnikov V.N. Detection of fatty product falsifications using a portable near Infrared spectrometer // EPJ Web of Conferences. 2017. Vol. 132, no. 02009. Doi: 10.1051/epjconf/201713202009.

5. Kalinin A.V., Krasheninnikov V.N., Sviridov A.P., Titov V.N. Opredelenie soderzhaniya diagnosticheski znachimykh zhirnykh kislot i individual'nykh triglitseridov v biologicheskikh sredakh na osnove infrakrasnoj spektrometrii // Klinicheskaya laboratornaya diagnostika. 2015. T. 60, № 11. S. 13–20.

6. Westad F., Schmidt A. and Kermit M. Incorporating chemical band-assignment in near infrared spectroscopy regression models // J. Near Infrared Spectrosc. 2008. Vol. 16, no. 3. P. 265–273. Doi: 10.1255/jnirs.786.

7. Titov V.N. Filogeneticheskaya teoriya obschej patologii. Patogenez metabolicheskikh pandemij. Sakharnyj diabet. M.: INFRA-M, 2014. 223 c.

Система Orphus

Loading...
Up