Screening for erucic acid and glucosinolate content in rapeseed-mustard seeds using near infrared reflectance spectroscopy

Kumar, Satyanshu; Chauhan, J. S.; Kumar, Arvind

doi:10.1007/s13197-010-0120-3

Cited by 28 publications

(24 citation statements)

References 19 publications

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“…NIRS has become a well‐accepted multitrait technology for quantitative analysis of different analytes in pharmaceutical and agro industries (Murphy, ). 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.…”

Section: Discussionmentioning

confidence: 99%

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: Discussionmentioning

confidence: 99%

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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“…Furthermore, lot of health hazardous chemicals and reagents are involved in the process of derivatization which are potential source for environmental pollution. Current methods used for determining the erucic acids are near IR reflectance spectroscopy , GC , GC‐MS , HPLC with UV detection , and 13 C NMR spectroscopy . Generally, Fourier transform infrared (FTIR) spectroscopy has been recognized as a very simple, rapid, and cost effective technique.…”

Section: Introductionmentioning

confidence: 99%

Erucic acid evaluation in rapeseed and canola oil by Fourier transform‐infrared spectroscopy

Sherazi

Arain

Mahesar

et al. 2013

Euro J Lipid Sci & Tech

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A simple and rapid method was developed for the determination of erucic acid in rapeseed oil by single bounce attenuated total reflectance (SB-ATR) Fourier transform infrared (FTIR) spectroscopy. The various ratios prepared from the three different types of oils (rapeseed, canola, and sunflower) were run on gas chromatograph to identify amount of erucic acid. Therefore, a wide range of erucic acid (0.5-53.0%) was obtained for the calibration. The partial least squares (PLS) calibration was used for predicting erucic acid using spectral region at 2983-657/cm. The root mean square error of prediction (RMSEP), root mean square error of calibration (RMSEC), and root mean square error of cross-validation (RMSECV) were also determined to assess the accuracy of the method. The regression coefficient (R 2 ) was obtained 0.999 with least errors of RMSEC (0.12%), RMSECV (1.96%), and RMSEP (1.38%). The accuracy of the FTIR method was evaluated by analyzing canola and rapeseed oil samples by GC-MS and the results of both the techniques were found to be comparable.Practical applications: Generally, GC is used for determination of erucic acid in vegetable oils. But it needs the very laborious process of derivatization of fatty acids into their respective volatile methyl esters. Furthermore, lot of health hazardous chemicals and reagents are involved in the process of derivatization which are potential source for environmental pollution. Generally, FTIR spectroscopy has been recognized as a very simple, rapid, and cost effective technique. During the last decade, several researchers have used multivariate regression to build up calibration models based on FTIR data. The use of multivariate calibration methods is able to provide, estimates of the precision of the analysis, and yields important qualitative, quantitative, and analytical information. The objective of the present study was to develop a simple methodology for the quantitative analysis of low and high levels of erucic acid in canola and rapeseed oil, respectively by SB-ATR FTIR spectroscopy with PLSs regression.Abbreviations: FAME, fatty acid methyl esters; FTIR, Fourier transform infrared; MDa, mean difference of accuracy; MDr, mean difference of reproducibility; PLS, partial least squares; RMSEC, root mean square error of calibration; RMSECV, root mean square error of cross validation; RMSEP, root mean square error of prediction; SB-ATR, single bounce attenuated total reflectance; SDDa, standard deviation of the differences of accuracy; SDDr, standard deviation of the differences of reproducibility Eur.

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“…This is the main restriction of sunflower use in food formulation even if sunflower meal protein isolate (SMPI) is a promising food additive in different matrices. In fact, the uses of SMPI are limited because of the presence of antinutritional compounds like polyphenolic substances (Kumar et al 2010). Chlorogenic and caffeic acids are the dominants polyphenolics in the SMPI.…”

Section: Introductionmentioning

confidence: 99%

Production of low chlorogenic and caffeic acid containing sunflower meal protein isolate and its use in functional wheat bread making

Shchekoldina

Aïder

2012

J Food Sci Technol

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Sunflower meal protein isolate (SMPI) is a promising food additive in different matrices. However, the uses of SMPI are limited because of the presence of antinutritional compounds like polyphenolic substances. Chlorogenic and caffeic acids are the dominants polyphenolics in the SMPI. These substances cause significant changes of the colour of the meal, proteins and food matrices during their extraction and use as food additives. Moreover, these substances lower the nutritional value of the end product due to their interaction with some amino acids such as lysine and methionine. Thus, the removal of these substances is important to enable the use of the SMPI and meal in general in a greater extent in food applications and replacing more expensive protein sources such as soy proteins. The aim of this work was to study the production of functional bread by supplementing wheat flour with sunflower meal protein isolate (SMPI). SMPI with low content of chlorogenic and caffeic acid was usefully produced following alkaline extraction and purification with succinic acid. Purified SMPI showed well balanced amino acid profile and was characterized by high water and fat absorption capacities. It was incorporated to dough formula at 8-12 % of the total wheat flour. The results showed that production of bread supplemented with SMPI was technologically feasible.The supplemented bread had high mass volume and nutritional quality compared to the control bread. The optimal SMPI to incorporate into dough formula without significant alteration of the final bread colour was established at 10 %. This study will be helpful to find economic ways to enhance the nutritional quality of wheat bread and to improve the profitability of sunflower meal residue.

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Screening for erucic acid and glucosinolate content in rapeseed-mustard seeds using near infrared reflectance spectroscopy

Cited by 28 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

Erucic acid evaluation in rapeseed and canola oil by Fourier transform‐infrared spectroscopy

Production of low chlorogenic and caffeic acid containing sunflower meal protein isolate and its use in functional wheat bread making

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