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Ripoll, GCorresponding AuthorPanea, BAuthor
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Publicaciones > Article

Near-Infrared Reflectance Spectroscopy for Predicting the Phospholipid Fraction and the Total Fatty Acid Composition of Freeze-Dried Beef

Publicated to:Sensors. 21 (12): 4230- - 2021-06-02 21(12), doi: 10.3390/s21124230

Ripoll, G; Panea, B;

Affiliations

A14_20R Government of Aragon - Funding
Bristol Vet Sch, Fac Hlth Sci, Bristol BS40 5DU, Avon, England - Author
Consiglio Ric Agr & Anal Econ Agr, CREA, I-00015 Monterotondo, Italy - Author
Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Avda Montanana 930, Zaragoza 50059, Spain - Author
Frontmatec Smoerum AS, Hassellunden 9, DK-2765 Smoerum, Denmark - Author
Inst Agroalimentario Aragon IA2 CITA Univ Zaragoz, Avda Miguel Servet 177, Zaragoza 50013, Spain - Author
Inst Natl Rech Agr Alimentat & Environm VetAgro S, INRAE, UMR1213, Unite Rech Herbivores,Theix, F-63122 St Genes Champanelle, France - Author
QLK5-CT-2000-0147 EU Commission Sixth Framework Programme Project "GemQual" - Funding
Univ Adelaide, Sch Anim & Vet Sci, Davies Res Ctr, Roseworthy, SA 5371, Australia - Author
Univ Cattolica Sacro Cuore, Dept Anim Sci Food & Nutr, Via Emilia Parmense 84, I-29122 Piacenza, Italy - Author
Univ Complutense, Dept Prod Anim, Fac Vet, Madrid 28040, Spain - Author
Univ Helsinki, Dept Food & Nutr, Helsinki 00014, Finland - Author
Univ Zaragoza, Dept Prod Anim, Avda Miguel Servet 177, Zaragoza 50013, Spain - Author
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Abstract

Keywords: bovine; chemometrics; mufa; nirs; pufa; sfa; Adipose-tissue; Animal; Animals; Beef; Bovine; Calibration; Cattle; Cattle fed sunflower; Chemical-composition; Chemometrics; Coefficient of variation; Fatty acid; Fatty acid composition; Fatty acids; Forecasting; Freeze dried samples; Grass-silage diet; Health value; High standards; Human; Humans; Infrared devices; Infrared transmission; Intramuscular fat; Ir spectroscopy; Low concentrations; Male; Meat; Meat-products; Monounsaturated fatty acids; Mufa; Muscle; Near infrared reflectance spectroscopy; Near infrared spectral; Near infrared spectroscopy; Nirs; Online prediction; Phospholipid; Phospholipids; Polyunsaturated fatty acids; Potential use; Prediction model; Predictive analytics; Pufa; Reflection; Sfa; Spectroscopy, near-infrared; Spectrum analysis

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