Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Building Disaster Resilience and Social Responsibility through Experiential Learning: Integrating AI, GIS, and Remote Sensing -Certificate
Publication Type : Journal Article
Publisher : Elsevier BV
Source : Inorganic Chemistry Communications
Url : https://doi.org/10.1016/j.inoche.2023.110467
Keywords : Fluorescent probe, Cu(II) ion sensor, LOD
Campus : Mysuru
School : School of Physical Sciences
Department : Department of Sciences
Year : 2023
Abstract : Present work describes the preparation of an imine-based fluorescent on–off sensor probe, 2-(3-ethoxy-4-hydroxybenzylideneamino)-5-hydroxybenzoic acid (EHBA) and characterized by using UV–Visible, ESI-MS, 1H NMR, 13C NMR and FTIR spectral techniques. The binding mode ratio between the chemosensor (EHBA) with Cu2+ metal ions in 1:1 stoichiometric ratio respectively. The synthesized probe demonstrated sensitive and selective detection capability towards Cu2+ ions. Further, the sensor EHBA showed visually change in color in the presence of Cu2+ ions, the solution appeared yellow in color was observed. Besides, the sensor EHBA exhibited an outstanding sensitivity and selectivity exceptionally for Cu2+, while the other remaining various metal ions (Zn2+, Pb2+, Hg2+, Mn2+, Ni2+, Co2+, Fe2+, Cd2+, Cr3+, Al3+, Na+, K+ and Ag+) were remain unchanged. Moreover, a remarkable quenching in the fluorescence intensity was exhibited by the sensor probe EHBA with the addition of Cu2+ ions. It is worth to note that the limit of detection for Cu2+ was found to be 0.39 µM respectively.
Cite this Research Publication : B. Shruthi, Hosakere D. Revanasiddappa, B. Jayalakshmi, Asad Syed, Abdallah M. Elgorban, Rajalakshmanan Eswaramoorthy, Raghavendra G Amachawadi, Chandan Shivamallu, Shiva Prasad Kollur, Hydrobenzoic acid-based ‘Turn-Off’ fluorescent sensor for selective detection of Cu2+ ions: Chemical preparation, characterization and photophysical studies, Inorganic Chemistry Communications, Elsevier BV, 2023, https://doi.org/10.1016/j.inoche.2023.110467