Datos del Documento
Por favor, use este identificador para citar o enlazar este documento:
https://ria.asturias.es/RIA/handle/123456789/9948| Título : | Prediction of the fatty acid composition of beef by near infrared transmittance spectroscopy. |
| Autor : | Sierra, Verónica Aldai, N. Castro, P. Osoro, Koldo Coto-Montes, A. Oliván, Mamen |
| Palabras clave : | Carne de vaca; Perfil de ácidos grasos Grasa intramuscular Longissimus thoracis |
| Fecha de publicación : | 2008 |
| Editorial : | Elsevier |
| Citación : | Sierra, V... [et al.]. Prediction of the fatty acid composition of beef by near infrared transmittance spectroscopy. Meat Science. 2008 ; 78 : 248-255 |
| Resumen : | The intramuscular fat content and composition influence consumer selection of meat products. A study predicting the fatty acid (FA) profile of ground beef from the Longissimus thoracis of yearling bulls (n = 100) using near infrared transmittance spectroscopy (NIT) was conducted. The samples were scanned using an Infratec 1265 Meat Analyzer which operates in transmittance mode from 850 to 1050 nm. NIT technology was able to accurately predict (R2 CV over 0.76) some prominent FAs such as C14:0, C16:0, C16:1cis9, C17:0, C18:1cis9 and C18:1cis11, and minor FAs like C13:0, C15:0, C17:1cis9 and C18:1cis13. When studying FA groups, NIT spectra were able to accurately predict saturated ðR2 CV ¼ 0:837Þ, branched ðR2 CV ¼ 0:701Þ and monounsaturated ðR2 CV ¼ 0:852Þ FAs. In addition, NIT spectra provided useful information on the contents of conjugated linoleic acids (CLA) in beef. These results show the potential of NIT technique as a rapid and easy tool to predict the major FAs in beef, especially those located in triglycerides. |
| URI : | https://ria.asturias.es/RIA/handle/123456789/9948 |
| ISSN : | 0309-1740 |
| Aparece en las colecciones: | Agroalimentación y Ganadería Open Access DRIVERset |
Archivos en este documento:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Archivo.pdf | 138.35 kB | Adobe PDF | Ver/Abrir |
Este documento está sujeto a una licencia Creative Commons:
Licencia Creative Commons