Abstract
A non-invasive method for detecting glucose is pursued by millions of diabetic patients to improve their personal management of blood glucose. In this work, a novel CuO nanoparticles (NPs) decorated polycaprolactone@polypyrrole fibers modified indium-tin oxide (denoted as CuO/PCL@PPy/ITO) electrode has been fabricated by electrospinning combined with the electrodeposition method for non-enzymatic detection of glucose in saliva fluid. The electrospun composite fibers exhibit high sensitivity for the glucose detection. The synergistic effect between CuO and PPy together with the unique three-dimensional net structure contributes the reliable selectivity, good test repeatability, large-scale production reproducibility in massive way, the reasonable stability and a high catalytic surface area to the sensor. Quantitative detection of glucose is determined in the linear range from 2 μM to 6 mM and the lowest detection limit is 0.8 μM. The CuO/PCL@PPy/ITO electrode shows potential for the non-invasive detection of salivary glucose.
Highlights
IntroductionIt is well known that blood glucose detection is a routine method to monitor the illness’s condition and evaluate the therapeutic effects
Diabetes is a chronic and serious disease caused by the metabolic disturbances
It is obvious that the development of responsive and non-invasive methods for detecting glucose is a need for diabetic patients, which could create the benefit of improving personal management of their blood glucose [3]
Summary
It is well known that blood glucose detection is a routine method to monitor the illness’s condition and evaluate the therapeutic effects. It brings so much psychological stress and additional pain to the patient [1,2]. The PCL@PPy nanofibers were used as a nanoscale frame to contribute a high specific surface area for the dispersion of the as-made CuO NPs. In this study, the CuO/PCL@PPy fibers were directly collected on the surface of indium-tin oxide (ITO) glass to form a non-enzymatic glucose sensor. Under the alkaline conditions of 0.01 M NaOH, the CuO/PCL@PPy/ITO-based sensor with its unique three-dimensional net structure presented reliable selectivity, good sensitivity, and reproducibility and stability to detect glucose in saliva
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