Akademik Veri Yönetim Sistemi
Electrochimica Acta, cilt.555, 2026 (SCI-Expanded, Scopus)
Vericiguat (VER) is an innovative orally administered pharmacological agent that directly activates the enzyme soluble guanylate cyclase (sGC). This compound was developed for the treatment of individuals with symptomatic chronic heart failure and is prescribed to reduce mortality, minimize heart failure-related hospitalizations, and reduce the need for outpatient intravenous (IV) diuretics. This study aimed to develop a nanomaterial-supported, porous, and functional sensor interface using molecular imprinting to enable selective, sensitive, and reliable detection of the VER. For this purpose, the sensor platform was synthesized on the surface of a glassy carbon electrode (GCE) via photopolymerization, with the target analyte VER as a template molecule and 3-aminophenyl boronic acid (3-APBA) as a functional monomer. The photopolymerization (PP) process enabled the formation of a three-dimensional polymer matrix with selective recognition sites, thereby creating cavities tailored to the unique chemical and structural properties of the VER molecule. Titanium carbide MXene quantum dots (Ti₃C₂ MQDS) integrated onto the electrode surface also increased the electroactive surface area of the sensor, facilitating electron transfer and significantly improving overall sensor performance (sensitivity, selectivity, and stability). The surface of the developed VER/3-APBA@Ti₃C₂ MQDS/MIP-GCE sensor was characterized using a scanning electron microscope (SEM), and its electrochemical properties were evaluated using cyclic voltammetry (CV) and impedance spectroscopy (EIS). These measurements were carried out indirectly in a 5.0 mM [Fe(CN)6]3–/4– solution. For both standard and commercial serum samples, the computed limits of detection (LODs) were 4.38 × 10−13 M and 4.67 × 10−14 M, respectively. The recovery values for the MIP-based sensors ranged from 99.43% to 101.22% for commercial serum samples. The sensor's selectivity for VER was validated by the relative k' values obtained from the imprinting factor (k) analysis of a few drugs that are structurally similar to VER. Computations using density functional theory were employed to gain a deeper understanding of the interactions between the template and the functional monomer. Moreover, the greenness metric of the developed sensor, calculated using green chemistry approaches, was achieved through a production method that utilizes environmentally friendly solvents, requires low energy, and minimizes waste generation.