2026-09-20T23:54:24Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/863452026-09-18T14:09:22Zcom_10339_14934col_10339_38132

Rivas Duarte, Felipe 2017-08-22T08:35:24Z 2019-08-21T08:30:13Z 2017 https://wakespace.lib.wfu.edu/handle/10339/86345 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. en Wake Forest University Biosensor Hyaluronic acid Molecular weight Osteoarthritis Solid-state nanopore Translational MOLECULAR ANALYSIS OF HYALURONIC ACID (HA) USING SOLID-STATE NANOPORES Thesis Rahbar, Elaheh Rahbar, Elaheh Hall, Adam R Skardal, Aleksander Biomedical Engineering 2019-08-21 open.access