Scientific Production Faculty

Glucose Determination Using Non-Enzymatic Sensors Based on Fe2O3 Nanoparticles.



Alvarez Romero, Giaan Arturo

2022

Daniel Hernández Ramírez, Giaan Arturo Álvarez Romero, L. Humberto Mendoza Huizar, Carlos Andres Galan-Vidal, Guadalupe Yoselin Aguilar-Lira. (2022). Glucose Determination Using Non-Enzymatic Sensors Based on Fe2O3 Nanoparticles. ECS Transactions, 106, 33


Abstract


In this work, Fe2O3 nanoparticles were used for the construction of a modified carbon paste electrode for the electrochemical determination of glucose in an alkaline solution. Differential pulse voltammetry (DPV) was used as a quantitative analytical technique and a Box-Behnken design to optimize the variables related to this technique. The Fe2O3-NPs/CPE sensor showed excellent electro-catalytic performance towards glucose oxidation with a wide linear range of 0.0003 mM - 0.7 mM, a detection limit of 4.42x10-5 mM, and a quantification limit of 1.47x10-4 mM. The sensor also showed good reproducibility and repeatability, excellent selectivity (in the presence of ascorbic acid, uric acid, lactose, caffeine, and paracetamol), and satisfactory applicability for glucose detection in commercial electrolyte drink and human urine samples. Fe2O3 nanostructures are promising for the development of effective non-enzymatic electrochemical sensors for glucose determination in complex samples.






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