{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/49844"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/49844","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A spectroscopic smartphone biosensor for use in point-of-care diagnostic applications","abstract":"This thesis serves to introduce a new point-of-care testing device capable of providing spectrometric data for solid and liquid phase samples. A custom cradle was developed to maintain optical alignment allowing for the diffraction, and therefore spectrometric analysis, of light transmitted either directly through a sample or via an intermediary optical biosensor. Demonstration of the instrument is provided with both an enzyme-linked immunosorbent assay (ELISA) and a photonic-crystal (PC)-based investigation of biomolecular adsorption. ELISA analysis is completed on both human interleukin-6, an important diagnostic cancer biomarker, and Ara h 1, one of the principle peanut proteins responsible for allergic reactions. PC-based sensing was completed with a Protein A-immunoglobulin G interaction with a .009 nm accuracy. All of these demonstrations were completed at physiologically-relevant concentrations, and as such, serve as proof-of-concept for two separate modalities of a smartphone-based spectrometric optical biosensor. In the future, such a sensor has the potential to provide a low-cost, point-of-care diagnostic device that is inherently robust, user-friendly, cloud-connected, and suited for use in remote sensing applications.","abstract_html":"This thesis serves to introduce a new point-of-care testing device capable of providing spectrometric data for solid and liquid phase samples. A custom cradle was developed to maintain optical alignment allowing for the diffraction, and therefore spectrometric analysis, of light transmitted either directly through a sample or via an intermediary optical biosensor. Demonstration of the instrument is provided with both an enzyme-linked immunosorbent assay (ELISA) and a photonic-crystal (PC)-based investigation of biomolecular adsorption. ELISA analysis is completed on both human interleukin-6, an important diagnostic cancer biomarker, and Ara h 1, one of the principle peanut proteins responsible for allergic reactions. PC-based sensing was completed with a Protein A-immunoglobulin G interaction with a .009 nm accuracy. All of these demonstrations were completed at physiologically-relevant concentrations, and as such, serve as proof-of-concept for two separate modalities of a smartphone-based spectrometric optical biosensor. In the future, such a sensor has the potential to provide a low-cost, point-of-care diagnostic device that is inherently robust, user-friendly, cloud-connected, and suited for use in remote sensing applications.","abstract_has_math":false,"creators":["Long, Kenneth"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Bioengineering","degree_department":null,"school":null,"contributors":["Cunningham, Brian T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-05-30T17:20:41Z","date_published":"2014-05-30T17:20:41Z","updated_at":"2026-07-22T22:25:40Z","subjects":["Smartphone Biosensing","Photonic Crystal","Enzyme-Linked Immunosorbent Assay","Mobile Biosensing","Point-of-Care Diagnostics"],"languages":["en"],"rights":["Copyright 2014 Kenneth D. 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