Lean content prediction in pig carcasses, loin and ham by computed tomography (CT) using a density model.
作者： Pierre A. Picouet , Fabiana Teran , Marina Gispert , Maria Font i Furnols
DOI: 10.1016/J.MEATSCI.2010.04.039
关键词:
摘要: Pig carcasses (122 half carcasses, 52 hams and loins) from the Spanish pig population, were obtained in a commercial slaughterhouse scanned by computed tomography to generate predictive model determining weight lean content. The is mainly based on density correction equation. prediction used area of histogram whole carcass range -250 +800 Hounsfield units added 2769g corresponding average head feet that have not been scanned. content ratio between peak calculated histograms carcass. Both models correlated with manual dissection samples. Results compared calculation root mean square error calibration (RMSEC) for determination show RMSEC 0.6kg can be For meat percentage 1.48% 0.97% ham 1.07% loin. According our results, simple methodology it possible good values accordance EU regulation.
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María Font Furnols, La tomografía computerizada como herramienta para la determinación de la composición de la canal Eurocarne: La revista internacional del sector cárnico. pp. 114- 122 ,(2008)
María Font Furnols, Marina Gispert Martinell, Evolución y situación de la cabaña porcina española Eurocarne: La revista internacional del sector cárnico. pp. 51- 62 ,(2007)
Wolfgang Branscheid, Reinbardt Höreth, M. Judas, Computed tomography as a method to analyse the tissue composition of pig carcases Fleischwirtschaft international: journal for meat production and meat processing. pp. 56- 59 ,(2007)
Maria Font i Furnols, M. Fabiana Teran, Marina Gispert, Estimation of lean meat content in pig carcasses using X-ray Computed Tomography and PLS regression Chemometrics and Intelligent Laboratory Systems. ,vol. 98, pp. 31- 37 ,(2009) , 10.1016/J.CHEMOLAB.2009.04.009
E.A. Navajas, C.A. Glasbey, A.V. Fisher, D.W. Ross, J.J. Hyslop, R.I. Richardson, G. Simm, R. Roehe, Assessing beef carcass tissue weights using computed tomography spirals of primal cuts. Meat Science. ,vol. 84, pp. 30- 38 ,(2010) , 10.1016/J.MEATSCI.2009.08.006
Roger J. Cloutier, Tissue Substitutes in Radiation Dosimetry and Measurement Radiation Research. ,vol. 119, pp. 582- ,(1989) , 10.2307/3577533
E. Fulladosa, E. Santos-Garcés, P. Picouet, P. Gou, Prediction of salt and water content in dry-cured hams by computed tomography. Journal of Food Engineering. ,vol. 96, pp. 80- 85 ,(2010) , 10.1016/J.JFOODENG.2009.06.044
J. Kongsro, M. Røe, A.H. Aastveit, K. Kvaal, B. Egelandsdal, Virtual dissection of lamb carcasses using computer tomography (CT) and its correlation to manual dissection Journal of Food Engineering. ,vol. 88, pp. 86- 93 ,(2008) , 10.1016/J.JFOODENG.2008.01.021
P.M. Nissen, H. Busk, M. Oksama, M. Seynaeve, M. Gispert, P. Walstra, I. Hansson, E. Olsen, The estimated accuracy of the EU reference dissection method for pig carcass classification Meat Science. ,vol. 73, pp. 22- 28 ,(2006) , 10.1016/J.MEATSCI.2005.10.009
J. Johansen, A. H. Aastveit, B. Egelandsdal, K. Kvaal, M. Røe, None, Validation of the EUROP system for lamb classification in Norway; repeatability and accuracy of visual assessment and prediction of lamb carcass composition Meat Science. ,vol. 74, pp. 497- 509 ,(2006) , 10.1016/J.MEATSCI.2006.04.017