1 Ocak 2021 Dergi makalesi Açık Erişim

Kap, Ozlem; Kilic, Volkan; Hardy, John G.; Horzum, Nesrin

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/230422</identifier>
  <creators>
    <creator>
      <creatorName>Kap, Ozlem</creatorName>
      <givenName>Ozlem</givenName>
      <familyName>Kap</familyName>
      <affiliation>Izmir Katip Celebi Univ, Dept Engn Sci, TR-35620 Izmir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Kilic, Volkan</creatorName>
      <givenName>Volkan</givenName>
      <familyName>Kilic</familyName>
      <affiliation>Izmir Katip Celebi Univ, Dept Elect &amp; Elect Engn, TR-35620 Izmir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Hardy, John G.</creatorName>
      <givenName>John G.</givenName>
      <familyName>Hardy</familyName>
    </creator>
    <creator>
      <creatorName>Horzum, Nesrin</creatorName>
      <givenName>Nesrin</givenName>
      <familyName>Horzum</familyName>
      <affiliation>Izmir Katip Celebi Univ, Dept Engn Sci, TR-35620 Izmir, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Smartphone-Based Colorimetric Detection Systems For Glucose Monitoring In The Diagnosis And Management Of Diabetes</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/230422</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1039/d0an02031a</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Diabetes is a group of metabolic conditions resulting in high blood sugar levels over prolonged periods that affects hundreds of millions of patients worldwide. Measuring glucose concentration enables patient-specific insulin therapy, and is essential to reduce the severity of the disease, potential complications, and related mortalities. Recent advances and developments in smartphone-based colorimetric glucose detection systems are discussed in this review. The importance of glucose monitoring, data collection, transfer, and analysis, via non-invasive/invasive methods is highlighted. The review also presents various approaches using 3D-printed materials, screen-printed electrodes, polymer templates, designs allowing multiple glucose analysis, bioanalytes and/or nanostructures for glucose detection. The positive effects of advances in improving the performance of smartphone-based platforms are introduced along with future directions and trends in the application of emerging technologies in smartphone-based diagnostics.</description>
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