| Application of NIRS for predicting fatty acids in intramuscular fat of rabbit. | |
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MedLine Citation:
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PMID: 22326062 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The aim of this study was to evaluate the use of near infrared reflectance spectroscopy (NIRS) for predicting fatty acid content in intramuscular fat to be applied in rabbit selection programs. One hundred and forty three freeze-dried Longissimus muscles (LM) were scanned by NIRS (1100-2498nm). Modified Partial Least Squares models were obtained. Equations were selected according to standard error of cross validation (SECV) and coefficient of determination of cross validation (R(2)(CV)). Residual predictive deviation of cross validation (RPD(CV)) was also studied. Accurate predictions were reported for IMF (R(2)(CV)=0.98; RPD(CV)=7.57), saturated (R(2)(CV)=0.96; RPD(CV)=5.08) and monounsaturated FA content (R(2)(CV)=0.98; RPD(CV)=6.68). Lower accuracy was obtained for polyunsaturated FA content (R(2)(CV)=0.83; RPD(CV)=2.40). Several individual FA were accurately predicted such as C14:0, C15:0, C16:0, C16:1, C17:0, C18:0, C18:1 n-9, C18:2 n-6 and C18:3 n-3 (R(2)(CV)=0.91-0.97; RPD(CV)>3). Long chain polyunsaturated FA and C18:1 n-7 presented less accurate prediction equations (R(2)(CV)=0.12-0.82; RPD(CV)<3). |
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Authors:
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C Zomeño; V Juste; P Hernández |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-17 |
Journal Detail:
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Title: Meat science Volume: - ISSN: 1873-4138 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-2-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101160862 Medline TA: Meat Sci Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Elsevier Ltd. All rights reserved. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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