These are preliminary reports that have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in news media as established information. For more information, please see our FAQs.
A_fluorescent_ceriumbased_biosensor_for_the_direct_visual_detection_of_phosphate_under_physiological_conditions-2021-02-09-08-25.pdf (1.13 MB)

An astonishing simple cerium-based chemosensor for fluorescent selective phosphate detection in aquaeous medium

revised on 09.02.2021, 08:26 and posted on 10.02.2021, 08:21 by Thibaud Rossel

Phosphate ions are socially important chemicals. They are involved in crucial processes such as for example in medicine or agriculture. However, their sensing with a chemosensor is ardous due to their chemical properties. In this context, a remarkable chemosensor would reveal an outstanding affinity, a high selectivity and a low detection limit in favor of an analyte. This has long been addressed in the past by chemists in synthesizing com- plex chemical architectures as receptors but with questionable successes. Astonishingly, here, for phosphate detection, we address this problem profiting by a simple fluorescent indicator displacement assay (FID) with only commercially available chemicals. We used cerium ammonium nitrate (CAN) combined with a fluorophore to probe phosphate ions in aqueous mediums. The inorganic complex detects phosphate ions in low millimolar concentrations either spectrophotometrically or with the naked-eye with high selectivity and affinity over other anions. To our knowledge, this is the first description of a simple sensitive, selective and high affinity cerium-based chemosensor for the fluorescent selective naked-eye detection of phosphate in aqueous medium. It proved useful for the detection of phosphate in Coca-Cola©.


No fundings


Email Address of Submitting Author


Gymnase français de Bienne



ORCID For Submitting Author


Declaration of Conflict of Interest

No conflict of interest

Version Notes

Paper version 2