MRI-based analysis of feeding background effect on fresh Iberian ham-Reference-Cited by-同舟云学术

MRI-based analysis of feeding background effect on fresh Iberian ham

Published:2011-06 Issue:3 Volume:126 Page:1366-1372
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Pérez-Palacios Trinidad,Antequera Teresa,Durán Mª Luisa,Caro Andrés,Rodríguez Pablo G.,Palacios Ramón

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference29 articles.

1. Monitoring the ripening process of Iberian ham by computer vision on magnetic resonance Imaging;Antequera;Meat Science,2007

2. Magnetic resonance imaging as a predictive tool for sensory characteristics and intramuscular fat content of dry-cured loin;Antequera;Journal of the Science of Food and Agriculture,2003

3. Official Methods of Analysis of the Association of Official Analytical Chemists. 17th ed.;Association of Official Analytical Chemist,2000

4. Thresholding methods on MRI to evaluate intramuscular fat level on Iberian ham, Lectures Notes in Computer Science (LNCS 3523);Ávila;Pattern Recognition and Image Analysis,2005

5. Applications of NMR spectroscopy in meat research;Beavallet;Trends in Food Science and Technology,1992

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