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dc.contributor.authorSoumi Roy-
dc.contributor.authorKang, Sarang-
dc.contributor.authorChoi, Kyu Yeong-
dc.contributor.authorLee, Kun Ho-
dc.contributor.authorShin, Keyong-Sik-
dc.contributor.authorKang, Ji Yoon-
dc.date.accessioned2024-01-12T06:30:06Z-
dc.date.available2024-01-12T06:30:06Z-
dc.date.created2024-01-09-
dc.date.issued2024-03-
dc.identifier.issn0956-5663-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/79656-
dc.description.abstractAlzheimer&apos;s Disease (AD) is one of the most common neurodegenerative disorders in elderly people. It is diagnosed by detecting amyloid beta (Aβ) protein in cerebrospinal fluid (CSF) obtained by lumbar puncture or through expensive positron emission tomography (PET) imaging. Although blood-based diagnosis of AD offers a less invasive and cost-effective alternative, the quantification of Aβ is technically challenging due to its low abundance in peripheral blood. To address this, we developed a compact yet highly sensitive microwell-based electrochemical sensor with a densely packed microelectrode array (20 by 20) for enhancing sensitivity. Employing microwells on the working and counter electrodes minimized the leakage current from the metallic conductors into the assay medium, refining the signal fidelity. We achieved a detection limit <10 fg/mL for Aβ by elevating the signal-to-noise ratio, thus capable of AD biomarker quantification. Moreover, the microwell structure maintained the performance irrespective of variations in bead number, indicative of the sensor&apos;s robustness. The sensor&apos;s efficacy was validated through the analysis of Aβ concentrations in plasma samples from 96 subjects, revealing a significant distinction between AD patients and healthy controls with an area under the receiver operating characteristic curve (AUC) of 0.85. Consequently, our novel microwell-based electrochemical biosensor represents a highly sensitive platform for detecting scant blood-based biomarkers, including Aβ, offering substantial potential for advancing AD diagnostics.-
dc.languageEnglish-
dc.publisherPergamon Press Ltd.-
dc.titleImplementation of an ultra-sensitive microwell-based electrochemical sensor for the detection of Alzheimer’s disease-
dc.typeArticle-
dc.identifier.doi10.1016/j.bios.2023.115898-
dc.description.journalClass1-
dc.identifier.bibliographicCitationBiosensors and Bioelectronics, v.247-
dc.citation.titleBiosensors and Bioelectronics-
dc.citation.volume247-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid001157336500001-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryElectrochemistry-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaElectrochemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.type.docTypeArticle-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordPlusSTABILITY-
dc.subject.keywordPlusARRAYS-
dc.subject.keywordAuthorMicrowell-based electrochemical sensor-
dc.subject.keywordAuthorLimits of Detection (LOD)-
dc.subject.keywordAuthorMagnetic beads-
dc.subject.keywordAuthorAlzheimer &apos-
dc.subject.keywordAuthors disease-
dc.subject.keywordAuthorAmyloid Beta-
dc.subject.keywordAuthorPatient plasma sample-
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