In-situ Growth of CuO Nanoflakes on Graphitic Carbon Nitride Sheets: An Electro‐active Interface for Electrocatalytic Oxidation and Detection of Riboflavin in Food and Nutritional Supplements

Ankush Kumar Singh, Rashmi Yadav, Abhay Singh, Rosy

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The altered riboflavin (RF) level is considered a biomarker for early diagnosis of human ailments and also serves as an internal marker for tracing food quality and adulteration. This necessitates the need for a sensitive, selective, and affordable method for RF estimation in real samples. RF, a biological chelating ligand, is known to have an affinity for complex formation with Cu(II) by coordinating through the electron-rich nitrogen and oxygen atoms on its structure. Motivated by this, CuO nanoflakes grown over graphitic carbon nitride (gCN) support is presented as an electroactive interface (gCN.CuNF|GCE) for electrochemical RF detection. A systematic analysis of the tailored electroactive interface is presented using HR-SEM, XRD, FT-IR, and XPS. The electrochemical analysis reveals the electro-oxidation of RF at gCN.CuNF|GCE with a 4.6 times higher current and a ∼13 mV potential shift, outlining the electro-catalytic activity of the composite material towards RF. The developed sensor exhibited a discernible peak even for 25 nM RF, showcasing an LOD of 6 nM. Furthermore, excellent selectivity for RF was observed even with potential interfering species, including cyanocobalamin. Besides detectability at the nanomolar range, excellent performance was verified for repeatability and RF analysis in food and pharmaceutical samples.

Original languageEnglish
Article number101284
JournalNano-Structures and Nano-Objects
Volume39
DOIs
StatePublished - Sep 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Elsevier B.V.

Keywords

  • Copper oxide
  • Cyanocobalamin
  • Electrodeposition
  • Graphitic Carbon Nitride
  • Riboflavin
  • Vitamin B
  • Voltammetric Sensing

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