Publications by authors named "Hengmao Yue"
J Colloid Interface Sci
February 2025
Article Synopsis
- A high-throughput point-of-care testing (HT-POCT) system was created to rapidly and accurately detect trace serum iron using a machine learning-assisted platform combined with hydrophobic carbon quantum dots (CQDs).
- The CQDs, which have a quantum yield of 36.6%, are effective for iron ion detection and demonstrate enhanced fluorescence signals when used with hydrophobic deep eutectic solvents (HDESs).
- The system employs the YOLOv8 algorithm to analyze samples, achieving low limits of detection (33 nM) and consistent results, making it a reliable method for measuring iron concentrations.
