Paper-based colorimetric spot test utilizing smartphone sensing for detection of biomarkers

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dc.contributor.authorAydindogan, Eda
dc.contributor.authorCeylan, Ayse Elcin
dc.contributor.authorTimur, Suna
dc.date.accessioned2020-12-01T12:04:53Z
dc.date.available2020-12-01T12:04:53Z
dc.date.issued2020
dc.departmentEge Üniversitesien_US
dc.description.abstractThe need for a continuous, real-time monitoring of specific diseases represents an unmet scientific need. Evidently, cancer is one of the most important diseases where it is crucial to increase the rates of patient survival and monitor disease prognosis. Herein, a novel type of immunoassay was developed for detection of cancer biomarkers, using alpha-fetoprotein (AFP) and mucin-16 (MUC16) as model analytes. Using gold nanoparticle (AuNP) bioconjugates as a signal production tool, relevant antibody (Ab)-conjugated AuNPs were prepared on the nitrocellulose (NC) membrane. To construct a spot-like point-of-care (POC) immunoassay, cysteamine conjugated AuNPs (AuNP-Cys) were immobilized on the NC membrane and antibodies were conjugated to the nanoparticle on the detection pad, following a treatment with the samples that contains AFP or MUC16 which are well-known protein biomarkers for liver and ovarian cancer. By using the change in the colorimetric properties of AuNPs, detection of tumor markers was achieved by using a smartphone image and color analysis software at the final stage. Image J application was used for the evaluation of color changes depending on the biomarker concentration in buffer or spiked synthetic serum samples. the linear range was found as 0.1 ng/mL-100 ng/mL for AFP and 0.1-10 ng/mL for MUC16. Limit-of-detection (LOA) was calculated as 1.054 ng/mL and 0.413 ng/mL for AFP and MUC16, respectively. Interferent molecules, Her2, Immunoglobulin G (IgG) and bovine serum albumin (BSA) were tested on the system. Furthermore, synthetic serum samples spiked with selected analyte molecule were applied on the system and measured successfully.en_US
dc.description.sponsorshipCOST project of Scientific and Technological Research Council of Turkey (TUBITAK) [117Z609]en_US
dc.description.sponsorshipThis work was supported by a COST project of Scientific and Technological Research Council of Turkey (TUBITAK, Project Grant No: 117Z609).en_US
dc.identifier.doi10.1016/j.talanta.2019.120446en_US
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573
dc.identifier.pmid31816800en_US
dc.identifier.scopus2-s2.0-85073026488en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.talanta.2019.120446
dc.identifier.urihttps://hdl.handle.net/11454/62782
dc.identifier.volume208en_US
dc.identifier.wosWOS:000503314200072en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofTalantaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPaper-baseden_US
dc.subjectColorimetricen_US
dc.subjectSpot testen_US
dc.subjectBiosensoren_US
dc.subjectCanceren_US
dc.subjectBiomarkeren_US
dc.subjectAlpha-fetoproteinen_US
dc.subjectMucin-16en_US
dc.titlePaper-based colorimetric spot test utilizing smartphone sensing for detection of biomarkersen_US
dc.typeArticleen_US

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