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Belzutifan, a hypoxia-inducible factor-2α (HIF-2α) inhibitor, represents a breakthrough therapeutic agent for treating von Hippel–Lindau disease-associated tumors and advanced renal cell carcinoma, necessitating precise therapeutic drug monitoring. This work presents the first application of near-infrared carbon dots (NIR-CDs) for belzutifan detection utilizing a dual-mechanism approach combining aggregation-induced quenching and inner filter effect for enhanced analytical performance. The NIR-CDs were synthesized from sulfosalicylic acid and ethylenediamine precursors, exhibiting strong near-infrared emission at 750 nm upon 290 nm excitation with excellent photostability and pH tolerance. The developed fluorometric sensor demonstrated outstanding analytical performance with a linear detection range of 5.0–130.0 ng mL−1 and a limit of detection of 1.35 ng mL−1, which is approximately 103 to 104 times lower than therapeutic plasma concentrations. Plasma sample analysis showed excellent extraction recovery ranging from 96.6% to 98.1% across three concentration levels with relative standard deviations below 4.27%. The method demonstrated successful clinical validation through analysis of plasma samples from rats, achieving excellent correlation with reference LC-MS/MS methods while providing real-time therapeutic drug monitoring capabilities. This represents the first fluorometric approach for belzutifan quantification and establishes a new paradigm for anticancer drug monitoring that combines the advantages of carbon dot nanotechnology with clinically relevant near-infrared detection, offering significant potential for point-of-care therapeutic drug monitoring in oncology practice.
Regulatory agencies have identified zineb (ZNB) as a potential health hazard due to its toxicological profile and environmental persistence. Therefore, establishing a highly selective and ultrasensitive method for ZNB detection is crucial for environmental monitoring, food safety assurance, and effective pesticide regulation enforcement. Herein, a selective electrochemical sensor was engineered based on a molecularly-imprinted polymer (MIP) film designed for targeted analyte recognition. The sensing platform integrates bimetallic cobalt–manganese metal–organic frameworks (CoMn-MOFs) with reduced graphene oxide (rGO) to enhance conductivity and surface activity. Initially, GO was synthesized and subsequently reduced to conductive rGO utilizing sodium borohydride via a modified Hummers’ method, forming a high-conductivity matrix for efficient electron transfer. Second, CoMn-MOFs were incorporated to significantly enhance the active surface area and facilitate electron transfer. A selective MIP layer was formed on the electrode surface via electro-polymerization, enabling precise molecular recognition of ZNB. The resulting MIP/rGO/CoMn-MOFs-modified glassy carbon electrode (GCE) exhibited excellent analytical performance, including a broad linear range (0.01–200 nM), a low LOD (4.0 pM), and high selectivity against potential interferents. When applied to real food and water samples, the sensor achieved high accuracy, with recoveries ranging from 95.5% to 105.6% and RSDs between 1.87% and 4.00%. The method was validated using the standard addition technique, confirming its applicability for accurate ZNB quantification in complex food and water matrices. These findings validate the sensor’s potential as a practical, rapid, and environmentally friendly platform for monitoring ZNB residues in agricultural and environmental contexts.