{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/86345"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/86345","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"MOLECULAR ANALYSIS OF HYALURONIC ACID (HA) USING SOLID-STATE NANOPORES","abstract":"Hyaluronic acid (HA; hyaluronan) has emerged as a powerful indicator for a range of diseases and physiological conditions, including cancer, osteoarthritis, and wound healing after injury. Evidence has shown that low molecular weight HA is pro-inflammatory while high molecular weight HA is anti-inflammatory, suggesting the potential importance of HA size as an independent biomarker. However, current methods to measure HA are time consuming, rarely distinguish HA by molecular weight and are not easily integrated in the clinical setting. Thus, there is a need for improved HA detection and quantification methods that can address this need.","abstract_html":"Hyaluronic acid (HA; hyaluronan) has emerged as a powerful indicator for a range of diseases and physiological conditions, including cancer, osteoarthritis, and wound healing after injury. Evidence has shown that low molecular weight HA is pro-inflammatory while high molecular weight HA is anti-inflammatory, suggesting the potential importance of HA size as an independent biomarker. However, current methods to measure HA are time consuming, rarely distinguish HA by molecular weight and are not easily integrated in the clinical setting. Thus, there is a need for improved HA detection and quantification methods that can address this need.","abstract_has_math":false,"creators":["Rivas Duarte, Felipe"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-07-27T22:02:17Z","subjects":["Biosensor"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/86345","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Rivas Duarte, Felipe"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-08-22T08:35:24Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-08-21T08:30:13Z"]},{"key":"dc:date.issued","label":"Date","values":["2017"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biosensor"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/86345"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Hyaluronic acid (HA; hyaluronan) has emerged as a powerful indicator for a range of diseases and physiological conditions, including cancer, osteoarthritis, and wound healing after injury. Evidence has shown that low molecular weight HA is pro-inflammatory while high molecular weight HA is anti-inflammatory, suggesting the potential importance of HA size as an independent biomarker. However, current methods to measure HA are time consuming, rarely distinguish HA by molecular weight and are not easily integrated in the clinical setting. Thus, there is a need for improved HA detection and quantification methods that can address this need."]},{"key":"dc:title","label":"Title","values":["MOLECULAR ANALYSIS OF HYALURONIC ACID (HA) USING SOLID-STATE NANOPORES"]}]}],"canonical_facts":{"dc:creator":["Rivas Duarte, Felipe"],"dc:date.accessioned":["2017-08-22T08:35:24Z"],"dc:date.available":["2019-08-21T08:30:13Z"],"dc:date.issued":["2017"],"dc:description.abstract":["Hyaluronic acid (HA; hyaluronan) has emerged as a powerful indicator for a range of diseases and physiological conditions, including cancer, osteoarthritis, and wound healing after injury. Evidence has shown that low molecular weight HA is pro-inflammatory while high molecular weight HA is anti-inflammatory, suggesting the potential importance of HA size as an independent biomarker. However, current methods to measure HA are time consuming, rarely distinguish HA by molecular weight and are not easily integrated in the clinical setting. Thus, there is a need for improved HA detection and quantification methods that can address this need."],"dc:identifier.uri":["http://hdl.handle.net/10339/86345"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Biosensor"],"dc:title":["MOLECULAR ANALYSIS OF HYALURONIC ACID (HA) USING SOLID-STATE NANOPORES"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:02:17Z"}