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Near‐infrared spectroscopy for analysis of oil content and fatty acid profile in almond flour
Author(s) -
FernándezCuesta Álvaro,
FernándezMartínez José M.,
Socias i Company Rafel,
Velasco Leonardo
Publication year - 2013
Publication title -
european journal of lipid science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 94
eISSN - 1438-9312
pISSN - 1438-7697
DOI - 10.1002/ejlt.201200115
Subject(s) - partial least squares regression , calibration , near infrared reflectance spectroscopy , chemistry , conjugated linoleic acid , fatty acid , oleic acid , coefficient of determination , linoleic acid , chromatography , analytical chemistry (journal) , food science , near infrared spectroscopy , mathematics , organic chemistry , biochemistry , biology , statistics , neuroscience
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 = 0.99; RPD = 9.24) and concentrations of oleic ( r 2 = 0.97; RPD = 5.37) and linoleic acids ( r 2 = 0.98; RPD = 7.35), revealing that calibration equations for these traits are highly accurate. Conversely, the accuracy of the calibration equations for palmitic ( r 2 = 0.54; RPD = 1.41) and stearic acids ( r 2 = 0.52; RPD = 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.