Literature DB >> 35013852

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

Patrick F Fernandes1, Divya R Mishra2.   

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  CTV; DFT; Fluorescence; Receptor; Sensing

Mesh:

Substances:

Year:  2022        PMID: 35013852     DOI: 10.1007/s10895-021-02858-2

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  4 in total

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  4 in total

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