Digital Image Colorimetric Detection of H2O2 Utilizing PEG/Ag/AgO Nanoparticles Derived from Tangerine Leaf Extract

Year 2024, , 1303 - 1312, 30.08.2024

Emre Yılmazoğlu

https://doi.org/10.18596/jotcsa.1439951

Abstract

Recent developments in biosensors based on digital platforms have primarily focused on enhancing rapid detection, flexibility, and selectivity through the utilization of nanomaterials. Despite these advances, the complexity of image colorimetric measurements continues to be a subject of interest. This study focused on the development of a new digital image colorimetric biosensor for real-time quantification of hydrogen peroxide (H2O2). The designed nanostructure-based sensor showed excellent selectivity and sensitivity, utilizing polyethylene glycol/Silver/Silver(II) oxide nanoparticles obtained from tangerine leaf extract (TLE/PEG/Ag/AgO NPs). The sensor's performance was validated using Ag/AgO NPs derived from tangerine leaf extract (TLE), demonstrating remarkable selectivity and sensitivity using a Red-Green-Blue (RGB)--based approach. Based on digital image colorimetric measurements of TLE/PEG/Ag/AgO NPs, a system for determining H2O2 was established in a linear range of 2.0–100.0 μmol/L with a low limit of detection (LOD) of 1.82 μmol/L. This study not only presented a facile strategy for the design of the digital image colorimetric TLE/PEG/Ag/AgO NPs-based biosensor but also shed light on the remarkable potential of smartphone sensing devices based on nanosensor technology. These sensors offer fresh perspectives and multidisciplinary approaches to visually sensitive sensing in a range of applications, such as biomedical diagnostics, security screening, and environmental monitoring.

Keywords

digital biosensor, image colorimetric sensor, silver nanoparticles, green sensor

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