Development of an electrochemical surface enhanced raman spectroscopy (EC-SERS) fabric sensor to detect cortisol for early diagnosis of post-traumatic stress disorder

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dc.contributor.advisor Brosseau, Christa L.
dc.creator Anand, Jaskaran Singh
dc.date.accessioned 2022-05-03T19:32:05Z
dc.date.available 2022-05-03T19:32:05Z
dc.date.issued 2022-04-27
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/30908
dc.description 1 online resource (x, 66 pages) : illustrations (chiefly colour), charts, graphs
dc.description Includes abstract and appendix.
dc.description Includes bibliographical references (pages 62-66).
dc.description.abstract Early diagnosis of Post-Traumatic Stress Disorder (PTSD) is challenging. Its prevalence rate in Canada is 9.2%. Experiencing stress for a sustained period can lead to a prolonged release of cortisol that causes negative feedback which leads to an eventual decrease in cortisol levels in PTSD patients. Electrochemical Surface Enhanced Raman Spectroscopy (EC-SERS) deals with enhancement of metal nanoparticles under application of voltage to detect the analyte signal. ECSERS is advantageous for detecting biological samples. Here we report using blend fabric (37% silk, 35% hemp, 28% organic cotton) for the development of a functional fabric sensor using ECSERS to detect cortisol for early diagnosis of PTSD. Cortisol is a glucocorticoid stress hormone and a challenging molecule to be detected with EC-SERS. The fabric sensor is comprised of a counter electrode, reference electrode, and working electrode. The counter electrode and working electrode are printed on fabric with carbon ink on top of silver ink and the reference electrode is imprinted on fabric with silver conductive ink. To provide effective SERS enhancement, silver nanoparticles were deposited on the working electrode area. For proof-of-concept studies, a 1 mg/mL analytical standard of cortisol in methanol was used for these investigations. Cortisol signal increased with an increase in the application of negative voltage. Quantitative analysis of signal intensity with cortisol concentration was also evaluated. To determine the relationship between peak intensity and analyte concentration, EC-SERS studies were conducted with 50 &micro;L, 65 &micro;L, 75 &micro;L, and 100 &micro;L of 1 mg mL<sup><sub>-1</sub></sup> cortisol. In summary, a fabric-based EC-SERS sensor for the detection of cortisol was demonstrated, paving the way to a wearable sensor for early PTSD diagnostics. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2022-05-03T19:32:05Z No. of bitstreams: 1 Anand_Jaskaran_Honours_2022.pdf: 4641561 bytes, checksum: cff16cb2bd96250173b9016b4d02120d (MD5) en
dc.description.provenance Made available in DSpace on 2022-05-03T19:32:05Z (GMT). No. of bitstreams: 1 Anand_Jaskaran_Honours_2022.pdf: 4641561 bytes, checksum: cff16cb2bd96250173b9016b4d02120d (MD5) Previous issue date: 2022-04-27 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.title Development of an electrochemical surface enhanced raman spectroscopy (EC-SERS) fabric sensor to detect cortisol for early diagnosis of post-traumatic stress disorder en_CA
dc.type Text en_CA
thesis.degree.name Bachelor of Science (Honours Biology)
thesis.degree.level Undergraduate
thesis.degree.discipline Biology
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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