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dc.contributor.advisorCote’, Gerard
dc.contributor.advisorMabbott, Samuel
dc.creatorSchechinger, Monika Balbina
dc.date.accessioned2021-01-07T16:31:12Z
dc.date.available2022-05-01T07:13:53Z
dc.date.created2020-05
dc.date.issued2020-04-24
dc.date.submittedMay 2020
dc.identifier.urihttps://hdl.handle.net/1969.1/191857
dc.description.abstractPreeclampsia is a condition that develops late in pregnancy and accounts for 75,000 maternal and 500,000 newborn deaths each year. Preeclampsia is commonly identified late in pregnancy using a generalized symptoms-based approach. Treatment options are limited at this stage. As such, this work investigated an alternative approach for diagnosing preeclampsia through the development of a diagnostic test for epigenetic biomarkers—i.e., miRNA-17 and miRNA-20a—associated with the onset of preeclampsia. The upregulation of these miRNAs occurs around the 9th week of pregnancy, inducing gene expression which causes the onset of symptoms that evolve into preeclampsia. A diagnostic tool was developed to pinpoint these biological changes by quantitatively determining the concentration of miRNA-17 and miRNA- 20a. This was achieved using an adapted split sandwich assay, 3D paper fluidics, Raman reporter labeled and functionalized gold nanoparticles, and surface enhanced Raman spectroscopy (SERS). The assay was incorporated into a 3D paper fluidic platform that uses both lateral and vertical flow. This design ensures that assay-specific sensing reagents and buffers are stored within the paper fluidic platform, which, in turn, promotes the binding of nanoparticles with miRNA-17 and miRNA-20a in solution for ultimate detection. The resultant SERS signal produced by the assay was analyzed using a handheld Raman system. The results were then used to quantify miRNA-17 and miRNA-20a concentrations ranging from 100 pM to 100 fM in solution.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectRamanen
dc.subjectPoint-of-Careen
dc.subjectSERSen
dc.subjectmicroRNAen
dc.subjectPreeclampsiaen
dc.titleTransitioning from Benchtop to Point-of-Care for Early Detection of Preeclampsia Using microRNAen
dc.typeThesisen
thesis.degree.departmentBiomedical Engineeringen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoralen
dc.contributor.committeeMemberYakovlev, Vladislav
dc.contributor.committeeMemberChoudhury, Mahua
dc.type.materialtexten
dc.date.updated2021-01-07T16:31:12Z
local.embargo.terms2022-05-01
local.etdauthor.orcid0000-0002-1676-5521


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