Predicting sensitivity to glucose in metal sulfides: A structural and surface characterization study - research data

The aim of this dataset is to compile and share the experimental data collected for the article titled "Predicting sensitivity to glucose in metal sulfides: A structural and surface characterization study". The research focused on understanding the structural, morphological, and surface properties of metal sulfides and their implications for sensor development. The dataset includes results from: X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), Raman Spectroscopy, X-ray Photoelectron Spectroscopy (XPS), and electrochemical measurements. This comprehensive dataset supports further exploration into the electrochemical behavior of metal sulfides and their potential applications in glucose sensing technologies.