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Design and characterization of textured surfaces for applications in the food industry

Gianmarco Lazzini; Luca Romoli; Liam Blunt; Laura Gemini

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      <creatorName>Gianmarco Lazzini</creatorName>
      <affiliation>University of Parma</affiliation>
      <creatorName>Luca Romoli</creatorName>
      <affiliation>University of Parma</affiliation>
      <creatorName>Liam Blunt</creatorName>
      <affiliation>University of Huddersfield</affiliation>
      <creatorName>Laura Gemini</creatorName>
      <affiliation>ALPhANOV, Institut d'Optique d'Aquitaine</affiliation>
    <title>Design and characterization of textured surfaces for applications in the food industry</title>
    <date dateType="Issued">2017-12-06</date>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
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    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1088/2051-672X/aa939f</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The aim of this work is to design, manufacture and characterize surface morphologies on AISI 316L stainless steel produced by a custom designed laser-texturing strategy. Surface textures were characterized at a micrometric dimension in terms of areal parameters compliant with ISO 25178, and correlations between these parameters and processing parameters (e.g. laser energy dose supplied to the material, repetition rate of the laser pulses and scanning velocity) were investigated. Preliminary efforts were devoted to the research of special requirements for surface morphology that, according to the commonly accepted research on the influence of surface roughness on cellular adhesion on surfaces, should discourage the formation of biofilms. The topographical characterization of the surfaces was performed with a coherence scanning interferometer. This approach showed that increasing doses of energy to the surfaces increased the global level of roughness as well as the surface complexity. Moreover, the behavior of the parameters&amp;nbsp;&lt;em&gt;S&lt;/em&gt;&amp;nbsp;&lt;sub&gt;pk&lt;/sub&gt;,&amp;nbsp;&lt;em&gt;S&lt;/em&gt;&amp;nbsp;&lt;sub&gt;vk&lt;/sub&gt;&amp;nbsp;also indicates that, due to the ablation process, an increase in the energy dose causes an average increase in the height of the highest peaks and in the depth of the deepest dales. The study of the density of peaks&amp;nbsp;&lt;em&gt;S&lt;/em&gt;&amp;nbsp;&lt;sub&gt;pd&lt;/sub&gt;&amp;nbsp;showed that none of the surfaces analyzed here seem to perfectly match the conditions dictated by the theories on cellular adhesion to confer anti-biofouling properties. However, this result seems to be mainly due to the limits of the resolving power of coherence scanning interferometry, which does not allow the resolution of sub-micrometric features which could be crucial in the prevention of cellular attachment.&lt;/p&gt;</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/687613/">687613</awardNumber>
      <awardTitle>High ThRoughput lasEr texturing of Self-CLEANing and antibacterial surfaces</awardTitle>
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