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Batch-Injection Amperometric Determination of Glucose Using a NiFe 2 O 4 /Carbon Nanotube Composite Enzymeless Sensor.

Authors :
Nascimento, Amanda B.
de Faria, Lucas V.
Matias, Tiago A.
Lopes, Osmando F.
Muñoz, Rodrigo A. A.
Source :
Chemosensors; Jun2024, Vol. 12 Issue 6, p112, 15p
Publication Year :
2024

Abstract

The development of sensitive and selective analytical devices for monitoring glucose levels (GLU) in biological fluids is extremely important for clinical diagnostics. In this work, we produced a new composite based on NiFe<subscript>2</subscript>O<subscript>4</subscript> and multi-walled carbon nanotubes (MWCNT), called NiFe<subscript>2</subscript>O<subscript>4</subscript>@MWCNT, to be applied as a non-enzymatic amperometric sensor for GLU. Both NiFe<subscript>2</subscript>O<subscript>4</subscript> and NiFe<subscript>2</subscript>O<subscript>4</subscript>@MWCNT composites were properly characterized by XRD, SEM, FTIR, and Raman spectroscopy, which confirmed that the composite was successfully prepared. A glassy-carbon electrode (GCE) modified with NiFe<subscript>2</subscript>O<subscript>4</subscript>@MWCNT was investigated by cyclic voltammetry and applied for the amperometric GLU detection using batch-injection analysis (BIA). A linear working range between 50 and 600 µmol L<superscript>−1</superscript> GLU with a significant increase in sensitivity (3-fold) in comparison with MWCNT/GCE was verified, with a detection limit of 36 µmol L<superscript>−1</superscript>. Inter-electrode measurements (n = 4, RSD = 10%) indicated that the sensor fabrication is reproducible. Furthermore, the proposed non-enzymatic sensor was selective even in the presence of other biomarkers found in urine. When applied to synthetic urine samples, recovery levels between 84 and 95% confirmed analytical accuracy and the absence of sample matrix effect. Importantly, the developed approach is simple (free of biological modifiers), fast (77 injections per hour), and practical (high-performance tool), which are suitable features for routine analyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22279040
Volume :
12
Issue :
6
Database :
Complementary Index
Journal :
Chemosensors
Publication Type :
Academic Journal
Accession number :
178161039
Full Text :
https://doi.org/10.3390/chemosensors12060112