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High Resolution Image Download MS PowerPoint Slide The successful synthesis of high-surface-area SnO 2 nanoparticles with a spherical surface morphology and an average size of 16 nm was carried out using a hydrothermal chemical approach. The characterization of the as-prepared nanoparticles was carried out using XRD, TEM, FESEM, EDX, and UV-visible DRS techniques. The BET surface area of the SnO 2 nanoparticles was found to be 94.2 m 2 /g. Electrochemical analysis using cyclic voltammetry, chronoamperometry, and linear sweep voltammetry demonstrated the sensitivity of the nanoparticles toward glucose detection, showing a linear response from 0.25 to 3.0 mM and a low detection limit of 0.11 mM. The chronoamperometric analysis showed a rapid response of an electrode with the successive addition of different glucose concentrations. The SnO 2 -modified electrode exhibited a rapid, stable, and selective response to glucose, with only ∼15% signal loss over 15 days of intermittent use. Furthermore, SnO 2 shows good selectivity toward glucose molecules with low interference from glucose analogues such as dopamine and ascorbic acid. These findings suggest the potential application of pristine SnO 2 nanostructures as efficient nonenzymatic electrochemical sensors for glucose monitoring.
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Naaz et al. (2025) studied this question.
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