Novel Copper-Nanoparticle-Decorated Sulfur-Based Polymer for Highly Sensitive Glucose Detection
Investigations at Northwest Normal University in Lanzhou, People's Republic of China, have led to the development of a novel copper-nanoparticle-decorated sulfur-based polymer, Cu@S-co-BIM, for the chronoamperometric analysis of glucose. This polymer, synthesized via inverse vulcanization, exhibits extraordinary electrical conductivity and provides a high degree of sensitivity and selectivity in glucose determination. The research found that the Cu@S-co-BIM sensor can detect glucose concentrations in the range of 1 μM-3.3 mM with a detection limit of 0.32 μM and exhibits high selectivity to glucose oxidation in the presence of various interfering species.
Key Takeaways:
- The Cu@S-co-BIM sensor is designed for chronoamperometric analysis of glucose with high sensitivity and selectivity.
- S-co-BIM is synthesized via inverse vulcanization as a stable conductive substrate with extraordinary electrical conductivity.
- Copper nanoparticles are electrodeposited as the catalyst, combining abundant active sites and high conductivity with excellent electrocatalytic abilities.
- The sensor detects glucose concentrations in the range of 1 μM-3.3 mM with a detection limit of 0.32 μM.
- The proposed composite material provides a new strategy for expanding the applications of sulfur-rich polymers in sensing.
- The as-prepared sensor exhibits high selectivity to glucose oxidation in the presence of various interfering species, including ascorbic acid, uric acid, sodium chloride, fructose, xylose, and maltose.
- The sensor displays excellent reproducibility and long-term stability, allowing for the detection of glucose in serum and commercial gluconate oral liquid with satisfactory results.
Statistics:
- Detection range: 1 μM-3.3 mM
- Detection limit: 0.32 μM
- Sensitivity: Extraordinary electrical conductivity
- Selectivity: High selectivity to glucose oxidation in the presence of various interfering species
- Reproducibility and stability: Excellent reproducibility and long-term stability
- Number of authors: 7 (Yuan Liao, Min Liu, Jie Liu, Ji-hua Zhu, Jing-jiang Liu, Xi-Cun Wang, and Zheng-Jun Quan)
- Number of references: 1 (NewsRx, 2021)
Sources:
- NewsRx. Findings on Nanoparticles Reported by Investigators at Northwest Normal University (Cu-nanoparticle-decorated Sulfur-based Polymers for Highly Sensitive Nonenzymatic Glucose Detection). Nanotechnology Weekly. September 20, 2021; p 1643.
- Cu-nanoparticle-decorated Sulfur-based Polymers for Highly Sensitive Nonenzymatic Glucose Detection. New Journal of Chemistry, 2021.