000117963 001__ 117963
000117963 005__ 20230921135441.0
000117963 0247_ $$2doi$$a10.3390/s21124230
000117963 0248_ $$2sideral$$a127241
000117963 037__ $$aART-2021-127241
000117963 041__ $$aeng
000117963 100__ $$0(orcid)0000-0001-8042-8688$$aRipoll G.
000117963 245__ $$aNear-infrared reflectance spectroscopy for predicting the phospholipid fraction and the total fatty acid composition of freeze-dried beef
000117963 260__ $$c2021
000117963 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117963 5203_ $$aResearch on fatty acids (FA) is important because their intake is related to human health. NIRS can be a useful tool to estimate the FA of beef but due to the high moisture and the high absorbance of water makes it difficult to calibrate the analyses. This work evaluated near-infrared reflectance spectroscopy as a tool to assess the total fatty acid composition and the phospholipid fraction of fatty acids of beef using freeze-dried meat. An average of 22 unrelated pure breed young bulls from 15 European breeds were reared on a common concentrate-based diet. A total of 332 longissimus thoracis steaks were analysed for fatty acid composition and a freeze-dried sample was subjected to near-infrared spectral analysis. 220 samples (67%) were used as a calibration set with the remaining 110 (33%) being used for validation of the models obtained. There was a large variation in the total FA concentration across the animals giving a good data set for the analysis and whilst the coefficient of variation was nearly 68% for the monounsaturated FA it was only 27% for the polyunsaturated fatty acids (PUFA). PLS method was used to develop the prediction models. The models for the phospholipid fraction had a low R2 p and high standard error, while models for neutral lipid had the best performance, in general. It was not possible to obtain a good prediction of many individual PUFA concentrations being present at low concentrations and less variable than other FA. The best models were developed for Total FA, saturated FA, 9c18:1 and 16:1 with R2 p greater than 0.76. This study indicates that NIRS is a feasible and useful tool for screening purposes and it has the potential to predict most of the FA of freeze-dried beef. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
000117963 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117963 594__ $$a6.4$$b2021
000117963 590__ $$a3.847$$b2021
000117963 592__ $$a0.803$$b2021
000117963 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2
000117963 593__ $$aAnalytical Chemistry$$c2021$$dQ1
000117963 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1
000117963 593__ $$aBiochemistry$$c2021$$dQ1
000117963 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 274 = 0.347$$c2021$$dQ2$$eT2
000117963 593__ $$aInstrumentation$$c2021$$dQ1
000117963 593__ $$aInformation Systems$$c2021$$dQ1
000117963 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1
000117963 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117963 700__ $$aFailla S.
000117963 700__ $$0(orcid)0000-0002-0572-9509$$aPanea B.
000117963 700__ $$aHocquette J.-F.
000117963 700__ $$aDunner S.
000117963 700__ $$0(orcid)0000-0001-6955-355X$$aOlleta J.L.$$uUniversidad de Zaragoza
000117963 700__ $$aChristensen M.
000117963 700__ $$aErtbjerg P.
000117963 700__ $$aRichardson I.
000117963 700__ $$aContò M.
000117963 700__ $$0(orcid)0000-0002-6109-7876$$aAlbertí P.
000117963 700__ $$0(orcid)0000-0001-6166-7499$$aSañudo C.
000117963 700__ $$aWilliams J.L.
000117963 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal
000117963 773__ $$g21, 12 (2021), 4230 [14 pp]$$pSensors$$tSensors$$x1424-8220
000117963 8564_ $$s1342940$$uhttps://zaguan.unizar.es/record/117963/files/texto_completo.pdf$$yVersión publicada
000117963 8564_ $$s2767099$$uhttps://zaguan.unizar.es/record/117963/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117963 909CO $$ooai:zaguan.unizar.es:117963$$particulos$$pdriver
000117963 951__ $$a2023-09-21-13:32:14
000117963 980__ $$aARTICLE