Nondestructive estimation of fatty acid composition in soybean [Glycine max (L.) Merrill] seeds using Near-Infrared Transmittance Spectroscopy

Patil, Archana; Oak, Manoj D.; Taware, S. P.; Tamhankar, Shubhada; Rao, V. S.

doi:10.1016/j.foodchem.2009.11.066

Cited by 39 publications

(26 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…During the procedure of cross-validation, which is useful to check the performance of the calibration equations, samples from the original sample set were selected. Ideally, the final calibration should be checked by independent samples [18]. Hence, an independent test set representing complete range of quality composition and color parameters was used for validation of each chemometric model ( Table 1).…”

Section: External Validationmentioning

confidence: 99%

Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near‐Infrared Reflectance Spectroscopy

Liu

Mei

et al. 2015

J Americ Oil Chem Soc

View full text Add to dashboard Cite

A rapid and efficient method for oil constituent estimation in intact sesame seeds was developed through near‐infrared reflectance spectroscopy (NIRS) and was used to evaluate a sesame germplasm collection conserved in China. A total of 342 samples were scanned by reflectance NIR in a range of 950–1650 nm, and the reference values for oil content and fatty acid (FA) profiles were measured by Soxhlet and gas chromatograph methods. Useful chemometric models were developed using partial least squares regression with full cross‐validation. The equations had low standard errors of cross‐validation, and high coefficient of determination of cross‐validation (Rc2) values (>0.8) except for stearic acid (0.794). In external validation, r2 values of oil and FA composition equations ranged from 0.815 (arachidonic acid) to 0.877 (linoleic acid). The relative predictive determinant (RPDv) values for all equations were more than 2.0. The whole‐seed NIR spectroscopy equations for oil content and FA profiles can be used for sesame seed quality rapid evaluation. The background information of the 4399 germplasm resources and accessions with high linoleic acid content identified in this study should be useful for developing new sesame cultivars with desirable FA compositions in future breeding programs.

show abstract

Section: External Validationmentioning

confidence: 99%

Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near‐Infrared Reflectance Spectroscopy

Liu

Mei

et al. 2015

J Americ Oil Chem Soc

View full text Add to dashboard Cite

show abstract

“…An improvement in the filtering of spectral data could help reduce this problem. Another option could also be the application of alternative regression methods, although the MPLS methods have provided reliable results in the evaluation of most agricultural products [28][29][30]. In a comparative study of fatty acids in soybean using linear and non-linear regression methods [31], a superior performance of non-linear methods based on their respective RPD values was observed, although the sensitivity of the non-linear methods to outliers was also acknowledged.…”

Section: External Validationmentioning

confidence: 99%

Estimation of Oil Content and Fatty Acid Composition in Cottonseed Kernel Powder Using Near Infrared Reflectance Spectroscopy

Quampah

Huang

et al. 2011

J Americ Oil Chem Soc

View full text Add to dashboard Cite

Oil content and fatty acid composition in 444 ground cottonseed kernel samples were analyzed using near infrared reflectance spectroscopy (NIRS). Calibration equations were developed for oil and fatty acid contents with the modified partial least squares (MPLS) regression method. The correlations between NIRS and reference values in external validation were in agreement with the predictions in calibration. Each equation was assessed based on the relative prediction determinant for external validation (RPD v ). Equations corresponding to total oil content (RPD v = 11.495) and linoleic acid (RPD v = 5.026) showed high accuracy. For palmitic acid (RPD v = 1.914), myristic acid (RPD v = 1.724) and oleic acid (RPD v = 1.999), the equations were predicted with relatively high accuracy while those for palmitoleic acid (RPD v = 0.686), stearic acid (RPD v = 0.792), linolenic acid (RPD v = 0.475) and 1-eicosenoic acid (RPD v = 0.619) were poorly predicted. The equations for traits with RPD v [ 1.5 could be reliably used in screening samples for breeding programs.

show abstract

“…Compared with the traditional titration assay, near infrared (NIR) spectroscopy technique has been proved to be a fast, simple, nondestructive and chemical-free analytical tool, which is commonly used in food now. Some relevant studies have been reported that NIR spectroscopy was used to determine food internal quality evaluation including soluble solids content and pH in rice vinegar (Liu, He, & Wang, 2008), ethanol and acetic acid in the culture broth of a rice vinegar (Yano, Aimi, Nakano, & Tamai, 1997), soluble solid content of tea soft drink (Li, He, Wu, & Sun, 2007), glucose, fructose and sucrose in bayberry juice (Xie, Ye, Liu, & Ying, 2009) and fatty acid composition in soybean seeds (Patil, Oak, Taware, Tamhankar, & Rao, 2010).…”

Section: Introductionmentioning

confidence: 99%

Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools

et al. 2012

View full text Add to dashboard Cite

Nondestructive estimation of fatty acid composition in soybean [Glycine max (L.) Merrill] seeds using Near-Infrared Transmittance Spectroscopy

Cited by 39 publications

References 22 publications

Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near‐Infrared Reflectance Spectroscopy

Nondestructive Estimation of Fat Constituents of Sesame (Sesamum indicum L.) Seeds by Near‐Infrared Reflectance Spectroscopy

Estimation of Oil Content and Fatty Acid Composition in Cottonseed Kernel Powder Using Near Infrared Reflectance Spectroscopy

Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools

Contact Info

Product

Resources

About