2020
DOI: 10.1039/d0ra05553k
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Functional nanostructure-loaded three-dimensional graphene foam as a non-enzymatic electrochemical sensor for reagentless glucose detection

Abstract: A non-enzymatic electrochemical sensor was fabricated by loading functional nanostructure on three-dimensional graphene foam for reagentless detection of glucose with high sensitivity and stability.

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Cited by 55 publications
(32 citation statements)
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“…The estimated pore sizes of LCNF electrodes are ca. two orders of magnitude smaller than the typical reports for graphene foam prepared by CVD [90]. This can enhance efficient interaction between the analyte and the functional interface.…”
Section: Laser-induced Carbon Nanofibersmentioning
confidence: 78%
“…The estimated pore sizes of LCNF electrodes are ca. two orders of magnitude smaller than the typical reports for graphene foam prepared by CVD [90]. This can enhance efficient interaction between the analyte and the functional interface.…”
Section: Laser-induced Carbon Nanofibersmentioning
confidence: 78%
“…As a class of biomarkers, metabolites are the metabolic product of natural life activities in an organism. Reliable and sensitive detection of metabolites plays an important role in the diagnosis and prevention of diseases [ 1 , 2 , 3 , 4 , 5 ]. For instance, uric acid (UA), as the purine metabolic product, is related to many clinical diseases including renal dysfunction, chronic nephritis, renal insufficiency, gout, and cardiovascular disease, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Electrochemical sensors could offer a unique combination of key merits including simple instrument, convenient operation, and high sensitivity. (Liu et al, 2020;Sabbaghan et al, 2021;Xuan et al, 2021;Ghalkhani and Sohouli, 2022) The electroactive phenolic hydroxyl groups in BPA enable its detection by electrochemical sensing. To improve the detection sensitivity, researchers have used a variety of materials to modify the working electrode, including metal or metal oxide nanoparticles (Ashraf et al, 2020;Wang et al, 2020b;Yang et al, 2022), carbon materials (Yasri et al, 2015;Alam and Deen, 2020;Zhu et al, 2020;Ponnada et al, 2022;Wang et al, 2022), ionic liquids (Wang et al, 2018;Wang et al, 2021b), molecularly imprinted polymers (Beduk et al, 2020;Zhang et al, 2021), metals and covalent organic frameworks (Zhang et al, 2018;Pang et al, 2020), and aptamers (Hadi et al, 2016;Jun et al, 2020).…”
Section: Introductionmentioning
confidence: 99%