Green synthesis of gum arabic platinum nanoparticle: Electrochemical sensor application for glyphosate detection

• Published in: Polymers for advanced technologies Vol. 34; no. 11; pp. 3407 - 3414
• Main Authors: Elamin, Manahil Babiker, Ali, Shazalia Mahmoud Ahmed, Chrouda, Amani, Alhaidari, Laila M., Alrouqi, Rahaf Mutlaq, Al‐Shammari, Athary Tami, Alsuqiani, Amjad Awad, Jaffrezic‐Renault, Nicole
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01-11-2023; Wiley
• Subjects: Biopolymers; Chemical Sciences; Chemical sensors; Configuration management; Contaminants; Dispersion; Electrochemical analysis; Environmental monitoring; Morphology; Nanoparticles; Platinum; Polymers; Sensors; Synthesis; platinum nanoparticles; gum arabic; electrochemical measurements; sensor; green synthesis; glyphosate
• ISSN: 1042-7147; 1099-1581
• DOI: 10.1002/pat.6151

Metallic green nanoparticles based on gum arabic (GA) biopolymer have attracted a great deal of attention in numerous applications, especially in electrochemical sensor design for environmental monitoring. One of the most harmful contaminants that threaten environmental safety is the glyphosate molecule. For this purpose, we report, herein, the synthesis of novel platinum nanoparticles decorated by GA to develop a new, rapid, and efficient electrochemical sensor for the trace of glyphosate detection. To control the morphology, dispersion, size, and structure of the Platinum nanoparticles, different techniques are investigated. To achieve the optimal configuration of sensor design, several electrochemical techniques, namely, cyclic voltammetry and differential pulse technique are used. The obtained results confirm the success of nanoparticles design with spherical morphology and good dispersion with a size in the order of 6–10 nm. More important, the electrochemical analysis suggested efficient sensing activity with a limit of detection in order of 0.5 ng/mL. As a proof of concept, we have demonstrated the ability of the designed sensor to recognize glyphosate in real media with recovery ranging from 96% to 104%, making the technology of the sensor based on metallic green nanoparticles a promising alternative for glyphosate detection.