Quantification of Oil Content in Intact Sugar Beet Seed by Near-Infrared Spectroscopy

Abstract

Sugar beet seed oil reserves play an important role in successful germination and seedling development. The purpose of this study was to establish a non-destructive near-infrared (NIR) methodology with good predictive accuracy to quantify stored seed oil in sugar beet seed. Reflectance NIR spectra were acquired from viable monogerm seeds. Calibration equations were developed using partial least squares. The optimized calibration model reached a Pearson correlation of 0.946; an independent prediction test reached a correlation of 0.919 and a Root Mean Square Error of Prediction of 0.388. The possible role of the outer pericarp in the prediction of oil content was additionally considered. The results indicate that the model is suitable for a rapid and accurate determination of the oil content in both polished and unpolished sugar beet seeds. This NIR application might help to understand the role of seed energy reservoirs in sugar beet germination and further plant growth.

Development of non‐destructive models to predict oil content and fatty acid composition of Gomenzer (Ethiopian mustard) using near‐infrared reflectance spectroscopy

“…Since the early 1960s, this method has been used to determine the moisture content of seeds. 11 NIRS could be applied to samples of various types, such as from the pharmaceutical, petrochemical, food, and agricultural industries. 12,13 Mainly, this technique is aimed to facilitate the screening for genotypes and varieties of cereal crops, oilseed crops, and forages.…”

“…Interestingly, near‐infrared spectroscopy (NIRS) is a powerful tool for the quantitative and qualitative analysis of chemicals and physical variables. Since the early 1960s, this method has been used to determine the moisture content of seeds 11 . NIRS could be applied to samples of various types, such as from the pharmaceutical, petrochemical, food, and agricultural industries 12,13 .…”

Discrimination of Brassica juncea Varieties Using Visible Near-Infrared (Vis-NIR) Spectroscopy and Chemometrics Methods

“…This technique has been reported to discriminate plant species/varieties in various crops, such as tea [ 8 ], apple [ 9 ], peach [ 10 ], Amaranthus species [ 11 ], etc. In addition, it is used to predict oil content in soybean [ 12 ], sugar beet seed [ 13 ], sesame seed [ 14 ], and B. napus seed [ 15 ]. New sensors, such as portable NIR spectrometers, are currently being evaluated in a variety of agricultural products [ 16 , 17 ].…”