The paper, A multiscale quantum dots-based material platform for high-performance immunosensing of rhinitis biomarkers, published in the international journal Materials Today Bio, shows the collaborative research findings of Professor Liu Huan's intelligent biochemical sensing research team from the School of Integrated Circuits and Professor Chen Jianjun's research team from Tongji Medical College's Union Hospital.
The research introduces a multiscale immunosensing material platform based on colloidal quantum dots that achieves highly selective and sensitive detection of rhinitis-related biomarkers, validated in clinical samples.
Rhinitis is a prevalent chronic respiratory disease worldwide that affects patients' quality of life and is closely associated with complications, including sinusitis and asthma. There is an urgent need for rapid, portable diagnostic tools in clinical practice to support daily monitoring and precise management of rhinitis.
Research indicates that the levels of Eosinophil Cationic Protein (ECP) and Myeloperoxidase (MPO) in human serum and nasal secretions are closely correlated with the type and severity of rhinitis. Rapid and quantitative detection of these proteins is of great significance for disease classification and treatment evaluation.
The research team developed a sensing material platform and designed an immunosensor capable of rapid detection of ECP and MPO. The platform uses colloidal quantum dots to create a stable, highly sensitive electrochemical immunodetection interface. The immunosensor detected ECP and MPO in nasal secretion samples from patients, confirming the potential for non-invasive detection of rhinitis.
The study demonstrates that the multiscale material platform based on colloidal quantum dots offers a novel strategy for high-performance detection of protein biomarkers, showcasing broad application prospects in fields such as point-of-care testing (POCT) and home health monitoring.
Source: School of Integrated Circuits, 91黑料网
