<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T18:44:30Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/271" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.12327/271</identifier><datestamp>2025-10-22T11:25:49Z</datestamp><setSpec>com_2072_4428</setSpec><setSpec>com_2072_4427</setSpec><setSpec>col_2072_487898</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12327-271" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12327/271">
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                  <mods:namePart>Fulladosa, E.</mods:namePart>
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                  <mods:namePart>Austrich, A.</mods:namePart>
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                  <mods:namePart>Muñoz, I.</mods:namePart>
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                  <mods:namePart>Guerrero, L.</mods:namePart>
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                  <mods:namePart>Benedito, J.</mods:namePart>
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                  <mods:namePart>Lorenzo, J.M.</mods:namePart>
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                  <mods:namePart>Gou, P.</mods:namePart>
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               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">other</mods:roleTerm>
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                  <mods:namePart>Indústries Alimentàries</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">group</mods:roleTerm>
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                  <mods:namePart>Qualitat i Tecnologia Alimentària</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2025-10-22T11:25:49Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2018-02-03</mods:dateIssued>
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               <mods:identifier type="citation">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.</mods:identifier>
               <mods:identifier type="issn">0956-7135</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12327/271</mods:identifier>
               <mods:identifier type="doi">https://doi.org/10.1016/j.foodcont.2018.01.020</mods:identifier>
               <mods:abstract>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.</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 International</mods:accessCondition>
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                  <mods:title>Texture characterization of dry-cured ham using multi energy X-ray analysis</mods:title>
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