6533b7dcfe1ef96bd1272077
RESEARCH PRODUCT
Determination of fatty acids and lipid classes in salmon oil by near infrared spectroscopy
A.s. Fabiano-tixierSalvador GarriguesMiguel De La GuardiaMari Merce CascantCassandra BreilFarid Chematsubject
classe lipidique[SDV]Life Sciences [q-bio]Predictive capabilityLipid classPartial least square01 natural sciencesSalmon oilAnalytical Chemistrychemistry.chemical_compoundFish Oils0404 agricultural biotechnologyPartial least squares regression[SDV.IDA]Life Sciences [q-bio]/Food engineeringOrganic chemistry[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringLeast-Squares AnalysisFatty acidsSpectroscopyOmega-6évaluation de méthodeOmega-3ErgosterolSpectroscopy Near-InfraredChromatographyacide gras010401 analytical chemistryNear-infrared spectroscopyoméga 3traitement statistique04 agricultural and veterinary sciencesGeneral Medicine040401 food science0104 chemical sciencessalmo salarNear infrared spectroscopy;Partial least square;Fatty acids;Lipid class;Omega-3;Omega-6chemistryNir spectraGas chromatographyspectroscopie proche infrarougeoméga 6Near infrared spectroscopyFood Sciencehuile de poissondescription
International audience; Near-infrared (NIR) spectroscopy was evaluated as a rapid method for the determination of oleic, palmitic, linoleic and linolenic acids as well as omega-3, omega-6, and to predict polyunsaturated, monounsaturated and saturated fatty acids, together with triacylglycerides, diglycerides, free fatty acids and ergosterol in salmon oil. To do it, Partial Least Squares (PLS) regression models were applied to correlate NIR spectra with aforementioned fatty acids and lipid classes. Results obtained were validated in front of reference procedures based on high performance thin layer and gas chromatography. PLS-NIR has a good predictive capability with relative root mean square error of prediction (RRMSEP) values below or equal to 1.8% and provides rapid analysis without the use of any chemicals making it an environmentally friendly methodology.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-03-15 |