High-throughput point-of-care serum iron testing utilizing machine learning-assisted deep eutectic solvent fluorescence detection platform

[Display omitted] In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was developed using a hydrophobic deep eutectic solvent (HDES) fluorescence detection platform. This machine learning-assisted portable platform enables intelligent and rapid detection...

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Veröffentlicht in:	Journal of colloid and interface science 2025-02, Vol.680 (Pt B), p.389-404
Hauptverfasser:	Li, Hui, Yue, Hengmao, Li, Haixiang, Zhu, Maolin, He, Xicheng, Liu, Meng, Li, Xiaoxia, Qiu, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms blood serum carbon Carbon - chemistry Carbon quantum dots color density functional theory detection limit Fluorescence Fluorescent Dyes - chemistry High throughput point-of-care testing High-Throughput Screening Assays Humans hydrophilicity Hydrophobic and Hydrophilic Interactions Hydrophobic deep eutectic solvent hydrophobicity iron Iron - blood Iron - chemistry Iron ion detection Machine Learning Particle Size Point-of-Care Systems Point-of-Care Testing Quantum Dots - chemistry rapid methods solvents Solvents - chemistry Spectrometry, Fluorescence ultraviolet radiation
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