Preview

New Technologies

Advanced search

Research of factors influencing the accuracy of determining of oil raw materials quality indicators based on the NMR pulse method

https://doi.org/10.24411/2072-0920-2019-10401

Abstract

The article presents the results of the study of factors affecting the accuracy of the results of measuring the mass fraction of oleic acid in sunflower seed oil using a pulsed NMR method. Analysis of the data obtained during the production tests has revealed factors that reduce the accuracy of the measurement results. The first factor is the different quality of the analyzed samples of sunflower seeds, which is due to the biological characteristics of the seeds and growing conditions. The second factor affecting the error of the measurement results of the quality parameters of sunflower seeds is the difference in the temperature of the seeds being analyzed and the temperature in the laboratory where the used NMR analyzer is installed. Moreover, this factor has the greatest influence on the accuracy of measurements of the mass fraction of oleic acid in sunflower seed oil. The third factor is the human factor, namely, the accuracy of sampling using a sampling cup, which is currently included in the AMV-1006M serial NMR analyzer.

In order to eliminate their influence, a special sampling device has been developed. It has been established that the reduction in the influence of the identified factors is achieved by normalizing the volume of the sample of seeds and measuring its temperature. The article presents data characterizing the main nodes of the developed sampling device, as well as the results of determining the mass fraction of oleic acid in oil of sunflower seeds after the introduction of the developed sampling device in the measurement procedure.

The developed design of the sampling device is simple to manufacture, has high operational characteristics, allows to increase the accuracy of sampling seeds by volume and significantly improve the accuracy of the results of measuring the mass fraction of oleic acid in oil of sunflower seeds based on the pulsed NMR method.

About the Authors

O. S. Agafonov
FSBSI «All-Russian Scientific Research Institute of Oilseeds named after V.S. Pustovoit»; FSBEI of HE «Kuban State Technological University»
Russian Federation

Candidate of Technical Sciences, a senior researcher of the Department of Physical research methods;

Doctoral student of the Department of Technology of fats, cos-metics, commodity research, processes and apparatus



S. M. Prudnikov
FSBSI «All-Russian Scientific Research Institute of Oilseeds named after V.S. Pustovoit»
Russian Federation
Doctor of Technical Sciences, a professor, head of the Department of Physical Re-search Methods


T. A. Shakhrai
Krasnodar Research Institute for Storage and Processing of Agricultural Products – a branch of the FSBSI «The North Caucasian Federal Scientific Center for Horticulture, Viticulture, Wine-Making»
Russian Federation
Candidate of Technical Sciences, an associate professor, a leading researcher of the Department of quality control and standardization


E. P. Victorova
Krasnodar Research Institute for Storage and Processing of Agricultural Products – a branch of the FSBSI «The North Caucasian Federal Scientific Center for Horticulture, Viticulture, Wine-Making»; FSBEI of HE «Kuban State Technological University»
Russian Federation

Doctor of Technical Sciences, a professor, deputy director for science;

professor of the Department of Technology of fats, cosmetics, commodity research, processes and apparatus



References

1. GOST R ISO 5725-1-2002 Accuracy (correctness and precision) of measurement methods and results. Part 3. Intermediate precision indicators of the standard measurement method. M., 2002. 28 p.

2. Tsirkunova N.A., Polyakova L.V. Analysis of factors affecting the variability of measurement results according to GOST R ISO 5725-3-2002 [Electronic resource] // Advances in Chemistry and Chemical technology. 2017. No. 5(186). P. 28-30. Access Mode: https://cyberleninka.ru/article/n/anal

3. GOST 30418-96. Vegetable oils. Method for fatty acid composition determination. M., 2013. 7 p.

4. GOST 8.597-2010 GSI. Oilseeds and their processed products. Methodology for measuring oil content and humidity by pulsed nuclear magnetic resonance. M., 2011. 8 p.

5. The method for determining the oleic acid content in sunflower oil: patent 2366935 C1 the Russ. Federation, IPC G01N 24/00. / B.Ya. Vityuk, I.A. Gorelikova, application No. 2008116369/04; declared24.04.2008; publ. 09/10/2009. Bull. №25.

6. High oleic sunflower and modern methods for monitoring the content of oleic acid / Agafonov O.S. [et al.] // Food industry: science and technology. 2013. No. 4(22). P. 91-94.

7. Application of the NMR method to determine the content of oleic acid in sunflower oil / Agafonov O.S. [et al.] // Development of biological and postgenomic technologies for assessing the quality of crops and healthy nutrition products: materials of the XVIII International Scientific and Practical Conference dedicated to the memory of V.M. Gorbachev. M., 2015. P. 24-27.

8. Murat Reis AKKAYA1, Abdullah ÇİL, Ayşe Nuran ÇİL, Hatice YÜCEL2, Osman KOLA. The influence of sowing dates on the oil content and fatty acid composition of standard, midoleic and higholeic types of sunflower (Helianthus annuus L.) // Food Science and Technology, 2018.

9. Dimurin, Y.N., Borisenko, O.M. Inheritance of high oleic acid content in sunflower oil // Oilseeds. 2011. No. 2. P. 72-74.

10. Device for volumetric dosing of seed samples: patent for utility model 191634 The Russ. Federation, IPC G01F 11/40 / Agafonov O.S., Prudnikov S.M.; Application No. 2019116319; declared 2019.05.27; publ. 14.08.2019.


Review

For citations:


Agafonov O.S., Prudnikov S.M., Shakhrai T.A., Victorova E.P. Research of factors influencing the accuracy of determining of oil raw materials quality indicators based on the NMR pulse method. New Technologies. 2019;(4):11-22. (In Russ.) https://doi.org/10.24411/2072-0920-2019-10401

Views: 507


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2072-0920 (Print)
ISSN 2713-0029 (Online)