Electrochemical Sensor for Facile and Highly Selective Determination of Antineoplastic Agent in Real Samples Using Glassy Carbon Electrode Modified by 2D-MoS2 NFs/TiO2 NPs

Topotecan (TPT), a potential antitumor agent for treating various cancers (lung, ovarian, etc.), is a water-soluble camptothecin derivative compound. It is utilized in hydrochloride salt to treat ovarian cancer, lung cancer, and other types of cancer. Herein, a stable and sensitive electrochemical sensor for topotecan hydrochloride detection based on a glassy carbon electrode fabricated by 2D-MoS2/TiO2 nanoparticles (GCE) was reported. First, 2D-MoS2 and TiO2 nanoparticles were synthesized to be utilized as the modifier of the glassy carbon electrode. 2D-MoS2/TiO2 was characterized by scanning electron microscope (SEM), x-ray diffraction (XRD) method, diffuse reflectance spectroscopy (DRS), chronoamperometry (CA) electrochemical impedance spectroscopy (EIS), Differential pulse voltammetry (DPV), and cyclic voltammetry (CV). The detection of TPT on the 2D-MoS2/TiO2/GCE was investigated by voltammetric approaches, and the analytical results were obtained. This work indicates that the oxidation reaction of TPT on 2D-MoS2/TiO2/GCE is occurred by almost two electrons and two proton reaction pathway, that is performed by just diffusion. The as-fabricated sensor can operate in the linear response range of 0.01 to 18.57 mu M (R-2 = 0.9959), and limits of detection (LOD) of 9.8 nM for TPT. The results have proved that the proposed novel sensor can successfully determine TPT in the real samples with higher stability, sensitive reproducibility, and repeatability features.

Automated summary

In this study, a stable and sensitive electrochemical sensor for detecting topotecan hydrochloride based on 2D-MoS2/TiO2 nanoparticles modified glassy carbon electrode was reported. The sensor showed a linear response range of 0.01 to 18.57 mu M with a limit of detection of 9.8 nM for topotecan hydrochloride, demonstrating high stability, sensitivity, and reproducibility in real sample analysis.