Issue 47, 2024, Issue in Progress

The performance of a very sensitive glucose sensor developed with copper nanostructure-supported nitrogen-doped carbon quantum dots

Abstract

Fluorescent glucose sensors often utilize nanotechnology to detect glucose in a sensitive and targeted manner. Nanoscale materials increase the sensitivity and efficiency of sensors by better understanding and managing the properties and interactions of the structure to be sensed. Nitrogen-doped carbon quantum dots (N-CQD), which work with the concept of fluorescence quenching or switching on because of specific processes in the presence of glucose, are one type of nanoscale material added to these sensors. In the field of biological material identification, this state-of-the-art technology is recognized as a useful tool. In this work, copper nanostructure-supported nitrogen-doped carbon quantum dots (Cu@N-CQDs) were synthesized by the hydrothermal method. The shape and structure of the fabricated materials were characterized using fluorescence (FL) spectrophotometry, Fourier Transform Infrared spectroscopy (FT-IR), transmission electron microscopy (TEM), X-ray diffraction, and UV-visible spectrophotometry (UV-vis). The proposed sensor has a linear range of 0–140 μM and a limit of detection (LOD) of 29.85 μM, showing high sensitivity and selectivity for glucose sensing by FL. The developed sensor was successfully applied to detect glucose and demonstrated the potential of Cu@N-CQDs as promising candidates for designing sensors for glucose measurement.

Graphical abstract: The performance of a very sensitive glucose sensor developed with copper nanostructure-supported nitrogen-doped carbon quantum dots

Article information

Article type
Paper
Submitted
11 Sep 2024
Accepted
28 Oct 2024
First published
01 Nov 2024
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2024,14, 34964-34970

The performance of a very sensitive glucose sensor developed with copper nanostructure-supported nitrogen-doped carbon quantum dots

A. Aygun, E. Ozveren, E. Halvaci, D. Ikballi, R. N. Elhouda Tiri, C. Catal, M. Bekmezci, A. Ozengul, I. Kaynak and F. Sen, RSC Adv., 2024, 14, 34964 DOI: 10.1039/D4RA06566B

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