Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance work on Wednesday 27th March 2019 from 11:00 AM to 1:00 PM (GMT).

During this time our website performance may be temporarily affected. We apologise for any inconvenience this might cause and thank you for your patience.


Issue 6, 2019
Previous Article Next Article

A near-infrared water-soluble fluorescent probe for the detection of biothiols in living cells and Escherichia coli

Author affiliations

Abstract

As important members of the reactive sulfur species (RSS), biological thiols including cysteine, homocysteine and glutathione play crucial roles in many physiological and pathological processes. Development of highly sensitive and selective methods for biothiol detection is of great significance. In this work, we developed a hemicyanine based probe (HXPIS) for near-infrared fluorescence detection of biological thiols in living cells and tissues. The probe HXPIS is capable of detecting biothiols with high selectivity as well as low detection limit (less than 11 nM). In addition, confocal laser scanning microscopy experiments of HeLa cells and Escherichia coli showed that HXPIS could be used to monitor intracellular and bacterial levels of biothiols. Furthermore, HXPIS was applied to distinguish live and dead Escherichia coli. Finally, the imaging of rat liver tissue slices demonstrated the outstanding staining and penetrating ability of the near infrared fluorescent probe.

Graphical abstract: A near-infrared water-soluble fluorescent probe for the detection of biothiols in living cells and Escherichia coli

Back to tab navigation

Supplementary files

Publication details

The article was received on 18 Nov 2018, accepted on 23 Dec 2018 and first published on 26 Dec 2018


Article type: Paper
DOI: 10.1039/C8AY02505C
Citation: Anal. Methods, 2019,11, 821-826

  •   Request permissions

    A near-infrared water-soluble fluorescent probe for the detection of biothiols in living cells and Escherichia coli

    L. Li, P. He, L. Shi, S. Pan, M. Li, Q. Zhou, H. Zhang, N. Wang, K. Li and X. Yu, Anal. Methods, 2019, 11, 821
    DOI: 10.1039/C8AY02505C

Search articles by author

Spotlight

Advertisements