4.7 Article

Highly selective and sensitive determination of ceftriaxone sodium using nitrogen-rich carbon dots based on ratiometric fluorescence

Journal

TALANTA
Volume 255, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.talanta.2022.124205

Keywords

Ceftriaxone sodium; Carbon dots; Indole; Ratiometric fluorescence; Colorimetric

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A method based on ratiometric fluorescence and colorimetric method using nitrogen-rich carbon dots as fluorophore was developed for selective and sensitive determination of ceftriaxone sodium (CTR) trace residues. The functional surfaces of indole-derived carbon dots (I-CDs) can selectively bind to CTR via electrostatic forces, resulting in a distinct variety in fluorescence and absorption wavelength and intensity. The detection limits (LODs) were estimated to be 19.7 nM and 78.0 nM for the ratiometric fluorescence method and colorimetric method, respectively. The nanosensor combined with a smartphone's color recognizer allowed for in situ visual quantitative determination of CTR.
Selective and sensitive determination of ceftriaxone sodium (CTR) trace residues is of great importance for food safety and environmental protection. Herein, a determination method based on ratiometric fluorescence and colorimetric method with nitrogen-rich carbon dots as fluorophore is reported. The functional surfaces of indole-derived carbon dots (I-CDs) containing nitrogen and carbon groups can be selectively bound to CTR by elec-trostatic forces, leading to a hindered conjugation system and deprotonation of the amine on the pyrrole ring, resulting in a distinct variety in fluorescence and absorption wavelength and intensity. With the addition of CTR, the fluorescence at 577 nm can be selectively quenched, accompanied by a new emission peak appeared at 507 nm. The limits of detection (LODs) were estimated to be 19.7 nM and 78.0 nM based on the ratiometric fluo-rescence method and colorimetric method, respectively. Finally, the in situ visual quantitative determination of CTR using this nanosensor was achieved by combining with the color recognizer of a smartphone, and the method was further validated by spike and recovery test in real water samples including milk, seawater, and tap water.

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