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

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 (R 2 ) 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.

Plant phenotyping relevance

ヒマワリ種子の脂肪酸組成という種子形質を対象に、NIRSの校正式と回帰法を開発・比較し、迅速スクリーニング手法として評価しているため、測定法が中心である。

Code and data availability

The article reports NIRS calibration/validation of sunflower seed fatty acid composition, but no public dataset, spectra, images, code, or model deposit is mentioned anywhere in the supplied blocks. No availability statements or URLs are present, and allowed_urls is empty.

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