Chem Commun (Camb)
Department of Chemistry and Center for Photochemical Sciences, Bowling Green State University, Bowling Green, Ohio 43403, USA.
Published: January 2016
Tri-serine tri-lactone based C3 symmetry fluorescent sensors were synthesized. Citrate is shown to bind to sensors, while displaying an increase in fluorescence intensity for the sensor with thiourea and a quenching for the sensor with sulfonamide. Information-rich responses of the sensors enable us to discriminate structurally similar anions, including mono-, di- and tri-carboxylates with 100% correct classification. A simple two-sensor array enables the determination of the concentration of citrate in urine without any sample preparation with high accuracy (error < 2%).
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http://dx.doi.org/10.1039/c5cc08759g | DOI Listing |
Org Biomol Chem
August 2016
Department of Chemistry and Center for Photochemical Sciences, Bowling Green State University, Bowling Green, Ohio 43403, U.S.A.
Two fluorometric sensors based on the tri-serine tri-lactone scaffold and thiourea or sulfonamide moieties serving as hydrogen bond donors allowing for anion binding are described. The sensor utilizing thiourea as a recognition moiety shows fluorescence enhancement while the sensor with sulfonamide shows quenching upon addition of phosphates. Sensor arrays composed of two sensors are able to discriminate structurally similar organic phosphates in the presence of interferents in human blood serum.
View Article and Find Full Text PDFChem Commun (Camb)
January 2016
Department of Chemistry and Center for Photochemical Sciences, Bowling Green State University, Bowling Green, Ohio 43403, USA.
Tri-serine tri-lactone based C3 symmetry fluorescent sensors were synthesized. Citrate is shown to bind to sensors, while displaying an increase in fluorescence intensity for the sensor with thiourea and a quenching for the sensor with sulfonamide. Information-rich responses of the sensors enable us to discriminate structurally similar anions, including mono-, di- and tri-carboxylates with 100% correct classification.
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