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               <dc:title>Texture characterization of dry-cured ham using multi energy X-ray analysis</dc:title>
               <dc:creator>Fulladosa, E.</dc:creator>
               <dc:creator>Austrich, A.</dc:creator>
               <dc:creator>Muñoz, I.</dc:creator>
               <dc:creator>Guerrero, L.</dc:creator>
               <dc:creator>Benedito, J.</dc:creator>
               <dc:creator>Lorenzo, J.M.</dc:creator>
               <dc:creator>Gou, P.</dc:creator>
               <dc:contributor>Indústries Alimentàries</dc:contributor>
               <dc:contributor>Qualitat i Tecnologia Alimentària</dc:contributor>
               <dc:description>Multi  energy  X-ray  sensors  are  able  to  differentiate  and  quantify  X-rays  of different  energies. In  contrast  to conventional  sensors,  which  simply  record  the  overall&#xd;
energy  of  the  X-rays  whatever  the  energy  of  x-rays  is, multi  energy  sensors provides  a spectrum  of the X-rays  energies,  which  may  be  differently  attenuated. In  this  study, the&#xd;
feasibility  of this  technology to  detect  changes  in  dry-cured  ham  slices  after  inducing proteolysis was  evaluated.  Effect  of  salt  and  water  contents  on  the attenuation was also&#xd;
studied. In addition, the classification of commercial samples according to their proteolysis index  was assessed.  Results  showed a  decrease  of  attenuation for increasing proteolysis&#xd;
induction times (p&lt;0.01) for all the regions of the spectrum (energy bands), but not with the same intensity, at any of the analysed acquisition conditions. Salt and water contents&#xd;
produced  a  significant  (p&lt;0.01)  effect  on  the  attenuation.  Influence  of  salt  content  was higher than that of water content, and both affected the prediction of the proteolysis index.&#xd;
Classification  score  of  commercial  samples  exhibited a  limited  discrimination capacity, showing the need for more sophisticated data analysis.</dc:description>
               <dc:date>2025-10-22T11:25:49Z</dc:date>
               <dc:date>2025-10-22T11:25:49Z</dc:date>
               <dc:date>2018-02-03</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:identifier>Fulladosa, E., A. Austrich, I. Muñoz, L. Guerrero, J. Benedito, J.M. Lorenzo, and P. Gou. 2018. "Texture Characterization Of Dry-Cured Ham Using Multi Energy X-Ray Analysis". Food Control 89: 46-53. Elsevier BV. doi:10.1016/j.foodcont.2018.01.020.</dc:identifier>
               <dc:identifier>0956-7135</dc:identifier>
               <dc:identifier>http://hdl.handle.net/20.500.12327/271</dc:identifier>
               <dc:identifier>https://doi.org/10.1016/j.foodcont.2018.01.020</dc:identifier>
               <dc:language>eng</dc:language>
               <dc:relation>Elsevier</dc:relation>
               <dc:relation>INIA/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RTA2013-00030-C03-01/ES/Caracterización y detección objetiva de defectos de textura en jamón curado mediante tecnologías no destructivas. Desarrollo y evaluación de medidas correctoras/</dc:relation>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
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