113
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A competitive sensing system based on cyclobis(paraquat-p-phenylene) and a new β-cyclodextrin-tetrathiafulvalene derivative

, , , , &
Pages 372-378 | Received 02 Oct 2007, Accepted 26 Feb 2008, Published online: 30 Jun 2009
 

Abstract

We report the synthesis of 4,5-di(ethylthio)-4′-[6-deoxy-β-cyclodextrin-6-yl-aminocarbonyl]-tetrathiafulvalene (β-CD-DET-TTF) and its inclusion abilities towards cyclobis(paraquat-p-phenylene) (CBPQT4+ ) and 1-naphthol. The structure of the synthesised compound has been established by mass spectrometry and 1H NMR spectra combined with a theoretical MM3 and AM1 study. The sensor affords a charge transfer (CT) complex with the CBPQT4+  and is able to include 1-naphthol in the cyclodextrin cavity. The complexes were characterised experimentally by UV–vis spectroscopy and simulated by a MM3 docking procedure. The sensing ability of the β-CD-DET-TTF/CBPQT4+  complex towards 1-naphthol has been investigated by a competitive spectral method.

The synthesis and characterisation of a new water soluble β-CD-DET-TTF derivative able to formed a CT complex with the CBPQT4+  acceptor is reported. The water soluble CT complex β-CD-DET-TTF/CBPQT4+  could be used as an efficient sensor towards aromatic guests prone to give inclusion complexes with the CBPQT4+  ring.

Acknowledgements

The financial support from the CNRS, University of Angers and University of Dunkerque is gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 551.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.