Post-Vaccination Detection of SARS-CoV-2 Antibody Response with Magnetic Nanoparticle-Based Electrochemical Biosensor System

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dc.authoridAKKUS KAYALI, Gozde/0000-0002-5776-4277
dc.authorscopusid55935858800
dc.authorscopusid57289928300
dc.authorscopusid58618157600
dc.authorscopusid58617600500
dc.authorscopusid58077774300
dc.authorscopusid35611300300
dc.authorscopusid6701638388
dc.authorwosidAKKUS KAYALI, Gozde/HQD-1513-2023
dc.contributor.authorHarmancı, Duygu
dc.contributor.authorBalaban Hanoğlu, Simge
dc.contributor.authorAkkuş Kayalı, Gözde
dc.contributor.authorDurgunlu, Evrim
dc.contributor.authorUçar, Nursima
dc.contributor.authorÇiçek, Candan
dc.contributor.authorTimur, Suna
dc.date.accessioned2024-08-25T18:52:07Z
dc.date.available2024-08-25T18:52:07Z
dc.date.issued2023
dc.departmentEge Üniversitesien_US
dc.description.abstractHere, we report magnetic nanoparticle-based biosensor platforms for the rapid detection of SARS-CoV-2 antibody responses in human serum. The use of the proposed system enabled the detection of anti-SARS-CoV-2 spike (S) and nucleocapsid (N) proteins at a concentration of ng/mL in both buffer and real serum samples. In particular, the protocol, which is considered an indicator of innate immunity after vaccination or post-infection, could be useful for the evaluation of antibody response. We included a total of 48 volunteers who either had COVID-19 but were not vaccinated or who had COVID-19 and were vaccinated with CoronoVac or Biontech. Briefly, in this study, which was planned as a cohort, serum samples were examined 3, 6, and 12 months from the time the volunteers' showed symptoms of COVID-19 with respect to antibody response in the proposed system. Anti-S Ab and anti-N Ab were detected with a limit of detection of 0.98 and 0.89 ng/mL, respectively. These data were confirmed with the corresponding commercial an electrochemiluminescence immunoassay (ECLIA) assays. Compared with ECLIA, more stable data were obtained, especially for samples collected over 6 months. After this period, a drop in the antibody responses was observed. Our findings showed that it could be a useful platform for exploring the dynamics of the immune response, and the proposed system has translational use potential for the clinic. In conclusion, the MNP-based biosensor platform proposed in this study, together with its counterparts in previous studies, is a candidate for determining natural immunity and post-vaccination antibody response, as well as reducing the workload of medical personnel and paving the way for screening studies on vaccine efficacy.en_US
dc.description.sponsorshipEge University Medicine Faculty; Unit of Scientific Research Projects [TTU-2021 278]; Republic of Tuerkiye, Ministry of Development [2016K121190]en_US
dc.description.sponsorshipThis research was funded by Ege University Medicine Faculty, Unit of Scientific Research Projects (Project Grant No: TTU-2021 278), and the Republic of Tuerkiye, Ministry of Development (Project Grant No: 2016K121190)en_US
dc.identifier.doi10.3390/bios13090851
dc.identifier.issn2079-6374
dc.identifier.issue9en_US
dc.identifier.pmid37754085en_US
dc.identifier.scopus2-s2.0-85172236898en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/bios13090851
dc.identifier.urihttps://hdl.handle.net/11454/102835
dc.identifier.volume13en_US
dc.identifier.wosWOS:001073376800001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofBiosensors-Baselen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240825_Gen_US
dc.subjectSARS-CoV-2en_US
dc.subjectCOVID-19 vaccineen_US
dc.subjectimmunoassayen_US
dc.subjectbiosensoren_US
dc.subjectanti-S antibodyen_US
dc.subjectanti-N antibodyen_US
dc.titlePost-Vaccination Detection of SARS-CoV-2 Antibody Response with Magnetic Nanoparticle-Based Electrochemical Biosensor Systemen_US
dc.typeArticleen_US

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