Issue 17, 2019

An excellent colorimetric and “turn off” fluorescent probe for tetrahydrofuran based on a luminescent macrocyclic samarium(iii) complex

Abstract

In this paper we report a novel probe based on a luminescent 23-membered [1 + 1] Schiff-base macrocyclic mononuclear Sm(III) complex Sm-2e, originating from the dialdehyde H2Qe and 1,2-bis(2-aminoethoxy)ethane precursors, which is synthesized by the Sm(III) ion template method. X-ray structural analyses confirm that each ten-coordinate Sm(III) center with the coordination geometry of a distorted bicapped square antiprism is fully encapsulated by a flexible macrocyclic ligand H2L2e to form a “lasso-type” architecture, and this architecture could enable efficient energy transfer in various solvents confirmed by long lifetimes (33.5–65.2 μs) and high quantum yields (0.23–0.76%) of the Sm(III) ion. Simultaneously, complex Sm-2e could serve as a probe for sensing organic solvents. Particularly, this complex probe Sm-2e exhibits a highly selective, rapid and sensitive response to tetrahydrofuran (THF), which is easily distinguished by a large absorption shift, even visible to the naked eye, and complete fluorescence quenching. Moreover, the limit of detection for THF is about 0.20% determined by titration experiments, and good selectivity for THF could still be realized in mixture solvents. Consequently, this colorimetric and “turn off” fluorescent probe Sm-2e could be a valuable candidate as a sensor material for sensing THF which has been rarely reported.

Graphical abstract: An excellent colorimetric and “turn off” fluorescent probe for tetrahydrofuran based on a luminescent macrocyclic samarium(iii) complex

Supplementary files

Article information

Article type
Paper
Submitted
05 Jun 2019
Accepted
20 Jul 2019
First published
22 Jul 2019

Analyst, 2019,144, 5254-5260

An excellent colorimetric and “turn off” fluorescent probe for tetrahydrofuran based on a luminescent macrocyclic samarium(III) complex

Z. Yang, C. Feng, P. Nie, T. Chen, L. Zhang, S. Ma, Y. Shen, Z. Lu, M. Lin and K. Zhang, Analyst, 2019, 144, 5254 DOI: 10.1039/C9AN01037H

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