High-Resolution Nuclear Magnetic Resonance and Near-Infrared Determination of Soybean Oil, Protein, and Amino Acid Residues in Soybean Seeds

Bâianu, I. C.; You, Tiefeng; Costescu, Doina; Lozano, Priscilla; Prisecaru, Valentin; Nelson, Randall L.

doi:10.1201/9781439822340.ch11

Cited by 7 publications

(15 citation statements)

References 24 publications

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“…For instance, resolutions of 5 nm or 16 cm −1 were found to be suitable for fruit and soybean amino acids, respectively. 9,16 High resolutions may even add spectral artifacts and decrease calibration performances as shown for soybean bulk samples. 17 Further studies could be performed to test the effect of spectral resolution on single-seed analysis.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…Tajuddin et al 7 reported SEPs ranging from 1.32 to 1.57%. Baianu et al 9 again obtained lower cross-validation prediction errors with the FT-NIR instrument than those from the diode array reflectance (SECV = 0.20 and 0.50%, respectively). From their results it was suggested that FT instruments showed significant advantages for predicting singleseed attributes due to the narrow light beam and accuracy in wavelength measurement.…”

Section: ■ Introductionmentioning

confidence: 95%

“…Two of the instruments, which extended up to the combination band spectral region (2500 nm), were considered as two independent instruments after the development of calibrations utilizing the entire available NIR spectral range (900−2500 nm) and up to the first overtone region (900−1650 nm), to test for significant changes of performances between these ranges. Baianu et al 9 obtained the best results with FT-NIR instruments covering up to the combination band region (2400 nm), but Delwiche 4 suggested that higher wavelengths show possible nonlinearities when measuring single seeds, so we wanted to test if there was a significant improvement when omitted.…”

Section: ■ Introductionmentioning

confidence: 99%

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Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study

Agelet

Armstrong

Clariana

et al. 2012

J. Agric. Food Chem.

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Four near-infrared spectrophotometers, and their associated spectral collection methods, were tested and compared for measuring three soybean single-seed attributes: weight (g), protein (%), and oil (%). Using partial least-squares (PLS) and four preprocessing methods, the attribute that was significantly most easily predicted was seed weight (RPD > 3 on average) and protein the least. The performance of all instruments differed from each other. Performances for oil and protein predictions were correlated with the instrument sampling system, with the best predictions using spectra taken from more than one seed angle. This was facilitated by the seed spinning or tumbling during spectral collection as opposed to static sampling methods. From the preprocessing methods utilized, no single one gave the best overall performances but weight measurements were often more successful with raw spectra, whereas protein and oil predictions were often enhanced by SNV and SNV + detrending. ABSTRACT: Four near-infrared spectrophotometers, and their associated spectral collection methods, were tested and compared for measuring three soybean single-seed attributes: weight (g), protein (%), and oil (%). Using partial least-squares (PLS) and four preprocessing methods, the attribute that was significantly most easily predicted was seed weight (RPD > 3 on average) and protein the least. The performance of all instruments differed from each other. Performances for oil and protein predictions were correlated with the instrument sampling system, with the best predictions using spectra taken from more than one seed angle. This was facilitated by the seed spinning or tumbling during spectral collection as opposed to static sampling methods. From the preprocessing methods utilized, no single one gave the best overall performances but weight measurements were often more successful with raw spectra, whereas protein and oil predictions were often enhanced by SNV and SNV + detrending.

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Section: ■ Results and Discussionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 95%

Section: ■ Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study

Agelet

Armstrong

Clariana

et al. 2012

J. Agric. Food Chem.

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“…(Espeja et al, 2001;Wang et al, 2001;Baianu et al, 2004). Among those techniques, High Resolution Nuclear Magnetic Resonance (HR-NMR) was employed for accurate determinations of soybean protein, oil and amino acids contents (Baianu et al, 2004). The NMR composition data were compared to the corresponding NIR data, with very high correlation up to 0.99.…”

mentioning

confidence: 99%

“…Except the NIR instruments, other regularly employed instruments for such a purpose include High Performance Liquid Chromatography (HPLC), Supercritical Fluid Chromatography (SFC), Infrared Attenuated Total Reflectance (ATR), and Nuclear Magnetic Resonance (NMR), etc. (Espeja et al, 2001;Wang et al, 2001;Baianu et al, 2004). Among those techniques, High Resolution Nuclear Magnetic Resonance (HR-NMR) was employed for accurate determinations of soybean protein, oil and amino acids contents (Baianu et al, 2004).…”

mentioning

confidence: 99%

NIR Calibrations for Soybean Seeds and Soy Food Composition Analysis: Total Carbohydrates, Oil, Proteins and Water Contents [v.2]

Baianu¹,

Guo²,

Nelson³

et al. 2011

Nature Precedings

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Impact of sample preparation on the determination of crude fat content in corn

Luthria

Noel

Vinjamoori

2004

J Americ Oil Chem Soc

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Sample preparation is an important step in any analysis as it directly affects the assay results. The effect of sample preparation on the extraction of crude fat from 10 corn samples with varying fat content was studied. Samples were ground on seven different grinders, namely, the Mega‐grinder, Knifetec, Cyclotec, Cemotec, Mikro‐mill, UDY, and Brinkmann‐Retsch mill. The crude fat was extracted from ground samples using Soxtec and/or Butt‐tube extraction procedures and was determined gravimetrically after evaporation of the extraction solvent. The lowest amount of crude fat was extracted from samples ground on a Cemotec grinder. However, similar yields of crude fat were obtained with the other six sample preparation mills by using the proper screen size and grinding conditions. We observed an increase of 0.3% in the grand mean of crude fat extracted from samples ground on a Cyclotec grinder fitted with a 1.0‐mm screen as compared with a 2.0‐mm screen. Modifying the grinding time from 5 to 10 s/cycle and increasing the number of cycles from 2 to 3 resulted an increase of 0.4% in the grand mean of crude fat extracted from 10 corn samples. No significant differences were observed in crude fat content when samples were ground with a Monsanto‐built Mega‐grinder, located at two different sites. The efficiency of crude fat extracted from ground samples was found to increase with the decrease in particle size.

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High-Resolution Nuclear Magnetic Resonance and Near-Infrared Determination of Soybean Oil, Protein, and Amino Acid Residues in Soybean Seeds

Cited by 7 publications

References 24 publications

Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study

Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study

NIR Calibrations for Soybean Seeds and Soy Food Composition Analysis: Total Carbohydrates, Oil, Proteins and Water Contents [v.2]

Impact of sample preparation on the determination of crude fat content in corn

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