Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Jun;55(6):2318-2325.
doi: 10.1007/s13197-018-3150-x. Epub 2018 Apr 19.

Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Murat Reis Akkaya  1
Affiliations

Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

Murat Reis Akkaya. J Food Sci Technol. 2018 Jun.

Abstract

This study was performed in order to evaluate efficiency of near-infrared reflectance spectroscopy (NIRS) for the determination of fatty acid composition ratio of sunflower seeds and to compare performance of calibration methods. Calibration equations were developed using modified partial least squares (MPLS) and partial least squares (PLS) regression methods. Ninety-three sunflower seed varieties were from test field of East Mediterranean Agricultural Research Institute. In order to determine the reference fatty acid values needed to construct calibration in NIRS analysis, sunflower seed samples were analyzed by gas chromatography method. Coefficients of determination (R2) in calibration were developed using MPLS and PLS as follows: for palmitic acid 0.706-0.664, for stearic acid 0.615-0.654, for oleic acid 0.996-0.994, for linoleic acid 0.995-0.994, for arachidic acid 0.768-0.643, for linolenic acid 0.818-0.763, for behenic acid 0.891-0.776, for eicosapentaenoic 0.933-0.892, for unsaturated fatty acid 0.837-0.890 and for saturated fatty acid 0.837-0.890 respectively. The results showed that NIRS was a reliable technique that can be used as a tool for rapid pre-screening of fatty acid composition of sunflower seeds.

Keywords: NIRS; Oleic acid; Palmitic acid; Sunflower; Unsaturated fatty acid.

PubMed Disclaimer

Conflict of interest statement

Compliance with ethical standardsThe author declares that he has no conflict of interest.

Figures

Fig. 1
Fig. 1
Validation plots for fatty acids contents using MPLS calibration equations
Fig. 2
Fig. 2
Validation plots for fatty acids contents using PLS calibration equations
See this image and copyright information in PMC

References

    1. Biskupek-Korell B, Moschner CR. Near-infrared spectroscopy (NIRS) for quality assurance in breeding, cultivation and marketing of high-oleic sunflowers. Helia. 2006;29(45):73–80. doi: 10.2298/HEL0645073B. - DOI
    1. Blanco M, Villarroya I. NIR spectroscopy: a rapid response analytical tool. Trends Anal Chem. 2002;21:240–250. doi: 10.1016/S0165-9936(02)00404-1. - DOI
    1. Cen H, He Y. Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci Technol. 2007;18(2):72–83. doi: 10.1016/j.tifs.2006.09.003. - DOI
    1. Davies AMC, Granth A. Near-infrared analyses of foods. Int J Food Sci Technol. 1987;22:191–207. doi: 10.1111/j.1365-2621.1987.tb00479.x. - DOI
    1. Fassio A, Cozzolino D. Non-destructive prediction of chemical composition in sunflower seeds by near infrared spectroscopy. Ind Crops Prod. 2004;20:321–329. doi: 10.1016/j.indcrop.2003.11.004. - DOI