Rational design of dysprosium oxide nanochains decorated on graphitic carbon nitride nanosheet for the electrochemical sensing of riboflavin in food samples

The nanostructured dysprosium oxide (Dy2O3) was synthesized by the co-precipitation method and incorporated with graphitic carbon nitride (g-C3N4) using the ultrasonication method. The resultant product is denoted as Dy2O3/g-C3N4 nanocomposite which was further used for electrochemical sensing of ri...

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Bibliographic Details
Published in:Carbon Letters 2023-12, Vol.33 (7), p.2171-2188
Main Authors: Sangavi, R., Keerthana, M., Pushpa Malini, T.
Format: Article
Language:English
Subjects:
Carbon
Carbon nitride
Dysprosium
Electrochemistry
Electrodes
Electrons
Ethanol
Food
Fuel cells
Functional groups
Glassy carbon
Honey
Human body
Metabolism
Microscopy
Milk
Nanocomposites
Nanosheets
Nitrates
Nitrogen
Physicochemical properties
Polymerization
Reproducibility
Riboflavin
Sensors
Spectrum analysis
Vitamin B
Vitamin deficiency
Voltammetry
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Summary:The nanostructured dysprosium oxide (Dy2O3) was synthesized by the co-precipitation method and incorporated with graphitic carbon nitride (g-C3N4) using the ultrasonication method. The resultant product is denoted as Dy2O3/g-C3N4 nanocomposite which was further used for electrochemical sensing of riboflavin (RF). The physicochemical properties of Dy2O3/g-C3N4 nanocomposite were examined using several characterization techniques. The obtained results exhibit the nanocomposite formation with the preferred elemental compositions, functional groups, crystalline phase and desired surface morphology. The electrocatalytic performance of Dy2O3/g-C3N4 nanocomposite was scrutinized with a glassy carbon electrode (GCE) via differential pulse voltammetry (DPV) and cyclic voltammetry (CV) techniques with the conventional three-electrode system. The modified electrode distributes more active surface area suggesting high electrocatalytic activity for the RF detection with two linear ranges (0.001–40 μM and 40–150 μM), a low detection limit of 48 nM and sound sensitivity (2.5261 μA μM−1 cm−2). Further, the designed sensor possesses high selectivity, excellent stability, repeatability and reproducibility. Finally, the fabricated sensor was successfully estimated for the detection of RF in actual food sample analysis using honey and milk with better recovery.
ISSN:1976-4251
2233-4998
DOI:10.1007/s42823-023-00546-8