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Kap, Ozlem; Kilic, Volkan; Hardy, John G.; Horzum, Nesrin
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Kilic, Volkan</subfield> <subfield code="u">Izmir Katip Celebi Univ, Dept Elect & Elect Engn, TR-35620 Izmir, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Hardy, John G.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Horzum, Nesrin</subfield> <subfield code="u">Izmir Katip Celebi Univ, Dept Engn Sci, TR-35620 Izmir, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="p">ANALYST</subfield> <subfield code="v">146</subfield> <subfield code="n">9</subfield> <subfield code="c">2784-2806</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Creative Commons Attribution</subfield> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1039/d0an02031a</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Kap, Ozlem</subfield> <subfield code="u">Izmir Katip Celebi Univ, Dept Engn Sci, TR-35620 Izmir, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:aperta.ulakbim.gov.tr:230422</subfield> <subfield code="p">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="2">opendefinition.org</subfield> <subfield code="a">cc-by</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2021-01-01</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="u">https://aperta.ulakbim.gov.trrecord/230422/files/bib-d722fdd9-2331-429a-a30b-81fadc983035.txt</subfield> <subfield code="z">md5:d61a5fc35121d4cf86324365088625f8</subfield> <subfield code="s">194</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="005">20221007075344.0</controlfield> <controlfield tag="001">230422</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a">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.</subfield> </datafield> </record>
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