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Prediction of the fatty acid composition of beef by near infrared transmittance spectroscopy.
MedLine Citation:
PMID:  22062277     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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 1050nm. NIT technology was able to accurately predict (R(CV)(2) 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 (R(CV)(2)=0.837), branched (R(CV)(2)=0.701) and monounsaturated (R(CV)(2)=0.852) 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.
Authors:
V Sierra; N Aldai; P Castro; K Osoro; A Coto-Montes; M Oliván
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Publication Detail:
Type:  Journal Article     Date:  2007-06-29
Journal Detail:
Title:  Meat science     Volume:  78     ISSN:  0309-1740     ISO Abbreviation:  Meat Sci.     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2011-11-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101160862     Medline TA:  Meat Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  248-55     Citation Subset:  -    
Affiliation:
Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Apartado 13, 33300 Villaviciosa, Asturias, Spain.
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