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A novel urease-assisted ratiometric fluorescence sensing platform based on pH-modulated copper-quenched near-infrared carbon dots and methyl red-quenched red carbon dots for selective urea monitoring. | LitMetric

AI Article Synopsis

  • A new fluorescence ratiometric method is created for detecting urea using pH-sensitive fluorescent carbon dots (R-CDs with methyl red and NIR-CDs with Cu).
  • The detection mechanism involves an enzyme (urease) breaking down urea to ammonia, which increases pH and alters fluorescence levels in two different carbon dot systems, allowing for urea detection based on these changes.
  • The method shows high sensitivity and a wide linear range for urea detection and has been successfully tested on milk samples to monitor adulteration, demonstrating minimal interference and good recovery rates.

Article Abstract

A novel and sensitive fluorescence ratiometric method is developed for urea detection based  on the pH-sensitive response of two fluorescent carbon dot (CD) systems: R-CDs/methyl red (MR) and NIR-CDs/Cu. The sensing mechanism involves breaking down urea using the enzyme urease, releasing ammonia and increasing pH. At higher pH, the fluorescence of NIR-CDs is quenched due to the enhanced interaction with Cu, while the fluorescence of R-CDs is restored as the acidic MR converts to its basic form, removing the inner filter effect. The ratiometric signal (F/F) of the R-CDs/MR and NIR-CDs/Cu intensities changed in response to the pH induced by urea hydrolysis, enabling selective and sensitive urea detection. Detailed spectroscopic and morphological investigations confirmed the fluorescence probe design and elucidated the sensing mechanism. The method exhibited excellent sensitivity (0.00028 mM LOD) and linearity range (0.001 - 8.0 mM) for urea detection, with successful application in milk samples for monitoring adulteration, demonstrating negligible interference and high recovery levels (96.5% to 101.0%). This ratiometric fluorescence approach offers a robust strategy for selective urea sensing in complicated matrices.

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http://dx.doi.org/10.1007/s00604-024-06573-0DOI Listing

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