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dc.contributor.advisorZeng, Yong
dc.contributor.authorZhang, Yaohua
dc.date.accessioned2022-03-18T15:42:43Z
dc.date.available2022-03-18T15:42:43Z
dc.date.issued2020-01-01
dc.date.submitted2020
dc.identifier.otherhttp://dissertations.umi.com/ku:17297
dc.identifier.urihttp://hdl.handle.net/1808/32606
dc.description.abstractAlzheimer's Disease has posed a critical challenge to the global health system. Although no cure is currently available, early diagnosis is beneficial to both the health system and patients. To improve early diagnosis, a microfluidic platform is proposed to capture and detect neuronal exosomes. In this study, the microfluidic platform was first optimized and evaluated by a commercialized ELISA kit, and neuronal cell marker and neuronal exosomes were captured and analyzed on-chip by sandwich ELISA. The microchip achieved high sensitivity for both protein and exosome, which reaches 10pg/ml and 106 level respectively. Overall, this study illustrates the potentiality of the proposed microfluidic platform, which will be further improved to be applied for AD early diagnosis study.
dc.format.extent55 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectBioengineering
dc.subjectAlzheimer's Disease
dc.subjectELISA
dc.subjectExosome
dc.subjectLiquid biopsy
dc.subjectMicrofluidics
dc.titleMicrofluidic Analysis of Exosomal Biomarkers towards Liquid Biopsy Diagnosis of Alzheimer's Disease
dc.typeThesis
dc.contributor.cmtememberTamerler, Candan
dc.contributor.cmtememberWilson, Sara
dc.thesis.degreeDisciplineBioengineering
dc.thesis.degreeLevelM.S.
dc.identifier.orcid0000-0003-4907-6519
dc.rights.accessrightsembargoedAccess


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