Nondestructive single‐seed oil determination of meadowfoam by near‐infrared transmission spectroscopy

Abstract

Near-infrared transmission spectroscopy (NITS) was explored for single-seed oil determination of meadowfoam. Two calibration sets were determined by principle component analysis of recorded spectra. Nuclear magnetic resonance (NMR) spectroscopy was used for oil content determination. The calibrations had standard errors of cross-validation of 3.6 and 4.4%, respectively, with an oil content ranging from 0.8 to 45.7%. This error is similar to that reported for NITS of single maize kernels, relative to the respective oil content ranges. Although not as accurate as NMR spectroscopy, NITS does provide a fast, efficient, and nondestructive method of predicting oil content of individual meadowfoam seeds. FIG. 7. Plot of d 2 /dw 2 log (1/T) vs. wavelength in nanometers of three meadowfoam seeds. NMR % oil content given. Examination of the second derivative reveals influence of chemical composition on transmission.

Development and Evaluation of Dedicated Bench-Type near Infrared Spectrometers to Estimate the Flavour of Green Soybeans from Single Pod Measurements

“…Also, many researches have been carried out for the estimation of quality of single seeds using NIR spectroscopy; Lamb et al 8 used 800-1100 nm spectral region for the estimation of moisture in soybean seeds ranging from 5 to 20% and found soybean seeds ranging from 5 to 20% and found that SEPs were less than 0.9%. Patrick et al 9 explored the accuracy of oil determination of meadowfoam and concluded that although NIR transmission spectroscopy was not as accurate as NMR spectroscopy, NIR transmission provides a fast and efficient method. Tajuddin et al 10 applied NIR spectroscopy for the estimation of protein and lipid contents in soybean seeds and found that developed calibrations were robust and reliable.…”

Single-Kernel Maize Analysis by Near-Infrared Hyperspectral Imaging

“…Silvela et al (1989) demonstrated that the rate of oil content gain was significantly greater if breeding selection occurred on a single-kernel basis, as opposed to composite samples containing all kernels on an ear. NIRS single-seed quality analysis has been applied to predict oil and protein content in maize, wheat, and soybeans (Orman and Schumann, 1992;Abe et al, 1995); moisture content in maize, lima beans, peanuts, soybeans, and sunflower (Norris and Hart, 1965;Finney and Norris, 1978;Norris, 1983;Lamb and Hurburgh, 1991); oil content in meadowfoam (Patrick and Jolliff, 1997); oleic and linoleic acid in sunflower (Sato et al, 1995;Velasco et al, 1999a); and oil, protein, glucosinolate content, and oleic, linoleic, and erucic acid concentration in rapeseed (Sato et al, 1998;Velasco et al, 1999b;Velasco et al, 1999c).…”

Role of Near - Infrared Spectroscopy in Seed Quality Evaluation: A Review

“…Dowell and Maghirang, (2002) suggested that weight less than 0.1 percent of the seed cannot be accurately measured. For instance, Patrick and Jolliff, (1997) observed that predicting meadow foam seeds with oil content below 5 mg were consistently overpredicted so the detection limit was fixed. But on the other hand, Janni et al, (2008) obtained large errors when predicting oil in corn kernels when including kernels with oil content above 8 percent on dry mass.…”

“…Furthermore, instruments including single-seed sample holders are available (Downey, 1994). The use of these devices has permitted the development of single-seed calibration equations for the analysis of oil and protein content in corn and soybean (Orman and Schumann, 1992;Dyer and Feng, 1995;Abe et al, 1995), protein content in wheat (Abe et al, 1995) and oil content in meadow foam (Patrick and Jolliff, 1997). Furthermore, Sato et al (1995) pointed out the potential of NIRS to predict linoleic acid content in husked sunûower seeds.…”