Nondestructive NIR Reflectance Spectroscopic Method for Rapid Fatty Acid Analysis of Peanut Seeds

Sundaram, Jaya; Kandala, C. V. K.; Butts, Christopher L.; Chen, Charles Y.; Соболев, В. С.

doi:10.3146/ps10-3.1

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…NIR reflectance spectroscopy is proven to be an important nondestructive proximate analysis of oil and fatty acid composition in peanut seeds (Sundaram et al, ). As the NIR spectra are influenced by unwanted signal variation from various sources such as light scattering, temperature or particle sizes, spectra were pretreated by second derivative for making spectral absorbance band clearer.…”

Section: Resultsmentioning

confidence: 99%

“…This technique has been successfully applied for breeding for altered fatty acid profile in soybean (Hurburgh, ; Sato & Kawano, ), sunflower (Vich, Velascob, & Martinez, ), almond (Cuesta, Fernández‐Martínez, Company, & Velasco, ), rapeseed‐mustard (Kim, Park, Choung, & Jang, ; Kumar, Chauhan, & Kumar, ), and peanut (Lee et al, ). Sundaram et al () suggested that reflectance derivative model is better than absorbance‐based model for the prediction of fatty acid profile in peanut seeds. In the present study, the reflectance‐based data (in duplicate) was collected from a new noncalibrated NIR spectrophotometer (DA 7200; Perten Instrument).…”

Section: Discussionmentioning

confidence: 99%

“…It is also useful for the proximate measurement of food composition and constituents like, protein, oil, carbohydrates, moisture content, total soluble solids, and so forth, with minimal sample preparation and reduced analysis time (Bansod et al, ; Sundaram et al, ). Several workers reported the use of NIRS for rapid and nondestructive measurement of fatty acid profile in intact peanut seeds (Fox & Cruickshank, ; Kavera & Hanchinal, ; Misra, Mathur, & Bhatt, ; Sundaram, Kandala, Butts, Chen, & Sobolev, ; Tillman, Gorbet, & Person, ). In the present study, a new NIR spectrophotometer was calibrated for nondestructive measurement of oil and fatty acids in intact peanut seeds.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Isolation of High Oleate Recombinants in Peanut by Near Infra‐Red Spectroscopy and Confirmation With Allele Specific Polymerase Chain Reaction Marker

Mondal

Nazareth

Bhad

et al. 2018

J Americ Oil Chem Soc

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Near infrared (NIR) spectrophotometer offers rapid, noninvasive, nondestructive, and high-throughput phenotyping of seed samples for use in agriculture and industry. In this study, a reflectance-based NIR spectrophotometer was calibrated and used for the isolation of desirable higher-oleic-acid peanut recombinants from single-seed-derived segregating populations at F 7 and F 8 generations. A calibration model was developed through partial least-square regression using wet chemistry data from 158 peanut genotypes. Desirable prediction for oil, palmitic acid, oleic acid, and linoleic acid in intact seed was obtained based on this calibration. It detected significant high correlations (r) and coefficient of determination (R 2 ) between the actual gas chromatography values and NIR predicted values of fatty acid profile in another 123 peanut genotypes that were generated from crosses involving a high-oleate mutant and Spanish bunch varieties with early maturity. From this recombinant single-seedderived progenies, 15 higher-oleate recombinants were isolated and later genotyped through an in-house developed polymerase chain reaction-based allele specific marker. The present study has generated high-oleate peanut recombinants with early maturity in Spanish bunch background. The breeding materials generated here will be evaluated for yield attributing traits at different locations in future.Keywords Allele specific PCR marker Á Arachis hypogaea L. Á Fatty acids Á High oleic acid Á Mutant Á NIR spectrophotometer J Am Oil Chem Soc (2018) 95: 113-121.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Isolation of High Oleate Recombinants in Peanut by Near Infra‐Red Spectroscopy and Confirmation With Allele Specific Polymerase Chain Reaction Marker

Mondal

Nazareth

Bhad

et al. 2018

J Americ Oil Chem Soc

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“…The results indicated that NIR data performed somewhat better than the mid-IR data [17]. NIRS has been used extensively to analyze oil content and fatty acid profile in oilseeds such as sunflower [18], rapeseed [19], soybean [20], peanut [21], and castor [22], as well as in other commodities such as cereals [23], forages [24], corn [25], and animal products [26]. Conversely, NIRS has not yet been reported for evaluation of most soybean essential nutrients like tocopherols, saponins, FAs, and flavonoids.…”

Section: Introductionmentioning

confidence: 95%

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy

Zhang

et al. 2017

Anal Bioanal Chem

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Improvement of the nutritional quality of soybean is usually facilitated by a vast range of soybean germplasm with enough information about their multiple phytonutrients. In order to acquire this essential information from a huge number of soybean samples, a rapid analytic method is urgently required. Here, a nondestructive near-infrared reflectance spectroscopy (NIRS) method was developed for rapid and accurate measurement of 25 nutritional components in soybean simultaneously, including fatty acids palmitic acid, stearic acid, oleic acid, linoleic acid, and linolenic acid, vitamin E (VE), α-VE, γ-VE, δ-VE, saponins, isoflavonoids, and flavonoids. Modified partial least squares regression and first, second, third, and fourth derivative transformation was applied for the model development. The 1 minus variance ratio (1-VR) value of the optimal model can reach between the highest 0.95 and lowest 0.64. The predicted values of phytonutrients in soybean using NIRS technology are comparable to those obtained from using the traditional spectrum or chemical methods. A robust NIRS can be adopted as a reliable method to evaluate complex plant constituents for screening large-scale samples of soybean germplasm resources or genetic populations for improvement of nutritional qualities. Graphical Abstract ᅟ.

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“…NIRS allows fast spectrometric measurement of several traits in a single analysis provided that the corresponding calibration equations are available. NIRS have been extensively used to analyze oil content and fatty acid profile in oilseeds such as sunflower 10, rapeseed 11, soybean 12, peanut 13, and castor 14, as well as in other commodities such a cereals 15, forages 16, or animal products 17. However, little research has been conducted in tree nuts.…”

Section: Introductionmentioning

confidence: 99%

Near‐infrared spectroscopy for analysis of oil content and fatty acid profile in almond flour

Fernández‐Cuesta

Fernández‐Martínez

Company

et al. 2012

Euro J Lipid Sci & Tech

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Almond kernels show large variability for oil content and fatty acid profile. The objective of this research was to evaluate the potential of near infrared (NIR) reflectance spectroscopy (NIRS) for the analysis of these traits in almond flour. Ground kernels of 181 accessions collected in 2009 were used for developing calibration equations for oil content and concentrations of individual fatty acids. Calibration equations were developed using second derivative transformation and modified partial least squares regression. They were validated with samples from 179 accessions collected in 2010. The accuracy of calibration equations was measured through the coefficient of determination (r 2 ) in external validation and the ratio of the SD in the validation set to the standard error of prediction (RPD). Both r 2 and RPD were high for oil content (r 2 ¼ 0.99; RPD ¼ 9.24) and concentrations of oleic (r 2 ¼ 0.97; RPD ¼ 5.37) and linoleic acids (r 2 ¼ 0.98; RPD ¼ 7.35), revealing that calibration equations for these traits are highly accurate. Conversely, the accuracy of the calibration equations for palmitic (r 2 ¼ 0.54; RPD ¼ 1.41) and stearic acids (r 2 ¼ 0.52; RPD ¼ 1.44) was too low for allowing their application in practice. NIRS discrimination of oil content and concentrations of oleic and linoleic acids was mainly based on the spectral region from 2240 to 2380 nm.Practical applications: NIRS is a high-throughput analytical technique that allows fast measurement of several traits in a single analysis without using chemical reagents. We evaluated the feasibility of analyzing oil content and concentrations of palmitic, stearic, oleic, and linoleic acids in almond flour using fruits collected during 2 years from a world germplasm collection. The fruits collected in 2009 were used for NIRS calibration, whereas the fruits collected in 2010 were used for validation. NIRS equations were highly accurate for measuring oil content and concentrations of oleic and linoleic acids, which are important traits defining the quality of almond flour for specific uses in the food industry. These results have applications both in the research laboratory and the food industry, where NIRS is becoming a widely used technique for quality control.

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Nondestructive NIR Reflectance Spectroscopic Method for Rapid Fatty Acid Analysis of Peanut Seeds

Cited by 10 publications

References 19 publications

Isolation of High Oleate Recombinants in Peanut by Near Infra‐Red Spectroscopy and Confirmation With Allele Specific Polymerase Chain Reaction Marker

Isolation of High Oleate Recombinants in Peanut by Near Infra‐Red Spectroscopy and Confirmation With Allele Specific Polymerase Chain Reaction Marker

Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy

Near‐infrared spectroscopy for analysis of oil content and fatty acid profile in almond flour

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