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CTV Based Sensor for the Detection of Ni2+ Ions With Real Sample Analysis Based on Mechanism of Fluorescence Along with Computational Insights

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Abstract

Identification and detection of harmful contaminants such as nickel and other materials from soil and water is critical necessity at the present moment. So with this motive to detect and identify harmful pollutants, a novel cyclotriveratrylene based derivative was prepared for the detection and binding of harmful pollutants which had the properties of fluorescence. The newly derivative of Cyclotriveratrylene was found to be highly sensitive and selective towards Ni2+ ions. The complexation behaviour of this newly synthesised molecule was studied in presence of transition elements. Also computational methods such as docking, molecular modelling and DFT were used to study the molecular orbitals and energies of CTG-NBEP. The detection of Ni2+ from water samples were also carried out successfully.

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Acknowledgement

The authors thank COENFDD, Rajkot, O2H and Gujarat University for providing instrumental Facilities and library journals

Funding

The research was supported by Gujarat University-Ahmedabad India.

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Patrick F. Fernandes: (Supervision, investigation designed and directed the study, planned and carried out the experiments, wrote the manuscript). Dr. Divya R. Mishra: (Supervision, designed and directed the study, contributed to the interpretation of the results and characterized of the molecules). The author(s) read and approved the final manuscript.

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Correspondence to Patrick F. Fernandes.

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Fernandes, P.F., Mishra, D.R. CTV Based Sensor for the Detection of Ni2+ Ions With Real Sample Analysis Based on Mechanism of Fluorescence Along with Computational Insights. J Fluoresc 32, 583–592 (2022). https://doi.org/10.1007/s10895-021-02858-2

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