A new nitro derivative of β-naphthol was synthesized. Its structure was studied by ¹HMR and IR spectrometry. A possibility of its use for immobilization on fibrous substrates and application as a specific analytical reagent for the determination of metal ions, in particular, cobalt(II) ions, was shown. The absorbance maximum of the reagent is at 490 nm and of the complex with cobalt ions, 690 nm. A procedure was proposed for the determination of cobalt(II) in wastewater.

Industrial wastewater often consists of toxic chemicals and pollutants, which are extremely harmful to the environment. Heavy metals are toxic chemicals and considered one of the major hazards to the aquatic ecosystem. Analytical techniques, such as potentiometric methods, are some of the methods to detect heavy metals in wastewaters. In this work, the quantitative structure–property relationship (QSPR) was applied using a range of machine learning techniques to predict the stability constant (logβ_ML) and potentiometric sensitivity (PS_ML) of 200 ligands in complexes with the heavy metal ions Cu²⁺, Cd²⁺, and Pb²⁺. In result, the logβML models developed for four ions showed good performance with square correlation coefficients (R²) ranging from 0.80 to 1.00 for the training and 0.72 to 0.85 for the test sets. Likewise, the PSML displayed acceptable performance with an R² of 0.87 to 1.00 for the training and 0.73 to 0.95 for the test sets. By screening a virtual database of coumarin-like structures, several new ligands bearing the coumarin moiety were identified. Three of them, namely NEW02, NEW03, and NEW07, showed very good sensitivity and stability in the metal complexes. Subsequent quantum-chemical calculations, as well as physicochemical/toxicological profiling were performed to investigate their metal-binding ability and developability of the designed sensors. Finally, synthesis schemes are proposed to obtain these three ligands with major efficiency from simple resources. The three coumarins designed clearly demonstrated capability to be suitable as good florescent chemosensors towards heavy metals. Overall, the computational methods applied in this study showed a very good performance as useful tools for designing novel fluorescent probes and assessing their sensing abilities.

We synthesized new nitroso derivatives of β-naphthol and studied their structures by ¹H NMR and IR spectroscopy. The nitrosonaphthol derivatives can be immobilized on fibrous substrates and used as analytical reagents to determine metal ions, in particular, cobalt(II) ions. We proposed a procedure for determining cobalt(II) in wastewater.

It is hard to envision a modern world where information technology does not facilitate daily tasks, including learning and teaching. This paper explores the use of virtual reality (VR) simulations in chemistry education, focusing on how immersive VR environments can enhance the learning experience for students. With chemistry often posing challenges due to its abstract and complex concepts, VR technology allows for a more interactive and visual approach, enabling students to visualize molecular structures, chemical reactions, and laboratory procedures. The study concludes that virtual reality (VR) simulations are crucial in modernizing chemistry education by making abstract and complex concepts more interactive and visual. Through a comprehensive analysis of current VR tools and simulations, the article discusses their strengths and limitations, providing a critical overview of the role of VR in modernizing chemistry education. The findings suggest that VR simulations can significantly improve students’ engagement with and understanding of complex chemistry concepts. Also, the results suggests that integrating VR into chemistry education can revolutionize traditional teaching methods, providing a more immersive and engaging learning experience.