Development of colorimetric probe for the selective detection of HgII
Koushik Das A , Mrityunjay Pandey A , Shampa Chakraborty
B , Saumik Sen C D and Sandipan Halder A *
+ Author Affiliations
- Author Affiliations
A Laboratory of Organo Catalysis and Synthesis, Department of Chemistry, Visvesvaraya National Institute of Technology (VNIT), Nagpur, 440010, Maharashtra, India.
B Department of Chemistry, Shri Ramdeobaba College of Engineering and Management, Katol Rd, Lonand, Gittikhadan, Nagpur, Maharashtra 440013, India.
C Fritz Haber Center for Molecular Dynamics, Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel.
D Present address: Condensed Matter Theory Group, Laboratory for Theoretical and Computational Physics, Paul Scherrer Institute, CH-5232 Villigen PSI, Switzerland.
Australian Journal of Chemistry 76(9) 581-589 https://doi.org/10.1071/CH23058
Submitted: 15 March 2023 Accepted: 18 June 2023 Published: 7 July 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing.
Abstract
A selective sensing technique for HgII ions has been developed utilizing an amino acid based probe. The design, synthesis and efficacy of the chemosensor have been described. The probe (SALTYR) was successfully synthesized from a naturally occurring amino acid after sequential functional group modifications. Recognition studies were performed against a wide variety of metal cations and anions including real water samples. All the analyses were carried out utilizing UV–vis and fluorescence techniques with micromolar concentrations of the probe in HEPES buffer. The selectivity of the probe was found to be very specific for HgII with quenching of the fluorescence in a turn-off mechanism. The detection limit of the probe SALTYR was calculated and found to be 5.9 × 10−6 M. Quantum chemical calculations demonstrated the stability of the HgII complex in the context of binding energy. Furthermore, the change of the pattern of emission spectra has been rationalized with a logic gate model.
Keywords: amino acid derived probe, chemosensors, computational analysis, fluorescence quenching, HgII sensing, logic gate model, molecular recognition, reductive amination.
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