{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127294"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127294","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Digital immunoassay for rapid detection of SARS-CoV-2 infection in a broad spectrum of animals","abstract":"The student, Siyan Li, accepted the attached license on 2024-12-11 at 14:36.","abstract_html":"The student, Siyan Li, accepted the attached license on 2024-12-11 at 14:36.","abstract_has_math":false,"creators":["Li, Siyan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"VMS - Pathobiology","degree_department":null,"school":null,"contributors":["Fang, Ying","Alam, Tauqeer","Jarosinski, Keith","Cunningham, Brian"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-12","date_published":"2024-12-12","updated_at":"2026-07-22T22:25:03Z","subjects":["Sars-cov-2 Detection","Photonic Crystal Biosensor","Monoclonal Antibody","Blocking Biosensor Assay"],"languages":["en","eng"],"rights":["Copyright 2024 Siyan Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127294","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Fang, Ying","Alam, Tauqeer","Jarosinski, Keith","Cunningham, Brian"]},{"key":"dc:creator","label":"Author","values":["Li, Siyan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-12-12","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["VMS - Pathobiology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Sars-cov-2 Detection","Photonic Crystal Biosensor","Monoclonal Antibody","Blocking Biosensor Assay"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Siyan Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127294"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The student, Siyan Li, accepted the attached license on 2024-12-11 at 14:36.","The student, Siyan Li, submitted this Thesis for approval on 2024-12-11 at 14:45.","This Thesis was approved for publication on 2024-12-12 at 16:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21574 on 2025-03-28 at 14:28:46","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","The ability of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) to infect a wide range of species raises significant concerns regarding both human-to-animal and animal-to-human transmission. There is an increasing demand for highly sensitive, rapid, and simple diagnostic assays that can detect viral infection across various species. In this study, we developed a biosensor assay that adapted a monoclonal-antibody (mAb)-based blocking ELISA format into an Activate Capture + Digital Counting (AC + DC)-based biosensor immunoassay. The assay employs a photonic crystal (PC) biosensor, gold-nanoparticle (AuNP), SARS-CoV-2 nucleocapsid (N) protein, and specific anti-N monoclonal antibody to detect antibody responses in animals exposed to SARS-CoV-2. Based on an evaluation of 176 cat serum samples with known antibody status, an optimal percentage of inhibition (PI) cut-off value of 0.588 resulted in a diagnostic sensitivity of 98.3% and a diagnostic specificity of 96.5%. The test is highly repeatable with low variation coefficients of 2.04%, 2.71%, and 4.87% across a single PC, between different PCs but within a single run, and between different runs, respectively. The test was further employed to detect antibody responses in multiple animal species as well as investigate the dynamics of antibody response in experimentally infected cats. This test platform provides an important tool for rapid field surveillance of SARS-CoV-2 infection across multiple species."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Digital immunoassay for rapid detection of SARS-CoV-2 infection in a broad spectrum of animals"]}]}],"canonical_facts":{"dc:contributor":["Fang, Ying","Alam, Tauqeer","Jarosinski, Keith","Cunningham, Brian"],"dc:creator":["Li, Siyan"],"dc:date":["2024-12-12","2024-12"],"dc:description":["The student, Siyan Li, accepted the attached license on 2024-12-11 at 14:36.","The student, Siyan Li, submitted this Thesis for approval on 2024-12-11 at 14:45.","This Thesis was approved for publication on 2024-12-12 at 16:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21574 on 2025-03-28 at 14:28:46","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","The ability of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) to infect a wide range of species raises significant concerns regarding both human-to-animal and animal-to-human transmission. There is an increasing demand for highly sensitive, rapid, and simple diagnostic assays that can detect viral infection across various species. In this study, we developed a biosensor assay that adapted a monoclonal-antibody (mAb)-based blocking ELISA format into an Activate Capture + Digital Counting (AC + DC)-based biosensor immunoassay. The assay employs a photonic crystal (PC) biosensor, gold-nanoparticle (AuNP), SARS-CoV-2 nucleocapsid (N) protein, and specific anti-N monoclonal antibody to detect antibody responses in animals exposed to SARS-CoV-2. Based on an evaluation of 176 cat serum samples with known antibody status, an optimal percentage of inhibition (PI) cut-off value of 0.588 resulted in a diagnostic sensitivity of 98.3% and a diagnostic specificity of 96.5%. The test is highly repeatable with low variation coefficients of 2.04%, 2.71%, and 4.87% across a single PC, between different PCs but within a single run, and between different runs, respectively. The test was further employed to detect antibody responses in multiple animal species as well as investigate the dynamics of antibody response in experimentally infected cats. This test platform provides an important tool for rapid field surveillance of SARS-CoV-2 infection across multiple species."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127294"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Siyan Li"],"dc:subject":["Sars-cov-2 Detection","Photonic Crystal Biosensor","Monoclonal Antibody","Blocking Biosensor Assay"],"dc:title":["Digital immunoassay for rapid detection of SARS-CoV-2 infection in a broad spectrum of animals"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["VMS - Pathobiology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:03Z"}