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Green‐tea‐synthesized silver nanoparticles as a sensing platform for determination of tetracycline in honey samples
Author(s) -
Pistonesi Denise B,
Centurión María E,
Springer Valeria
Publication year - 2021
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.11164
Subject(s) - silver nanoparticle , aqueous solution , detection limit , surface plasmon resonance , reagent , chemistry , tetracycline , nuclear chemistry , reducing agent , nanoparticle , green chemistry , green tea extract , chromatography , nanotechnology , green tea , materials science , organic chemistry , antibiotics , food science , biochemistry , molecule , supramolecular chemistry
BACKGROUND Silver nanoparticles (AgNPs) can be easily obtained in aqueous solution by chemical reduction using appropriate reducing agents and stabilizers. The development of environmentally friendly methods using non‐toxic solvents and reagents has become an alternative for the synthesis of these particles and their future application as sensor probes for agricultural products. In this work, a straightforward method based on green tea extracts as reducing and capping agent is proposed for the synthesis of AgNPs, followed by their evaluation as a sensing platform for determination of tetracycline in honey samples. RESULTS Highly stable nanoparticles were easily obtained by combining green tea aqueous extracts and ultrasound irradiation for 2 min. The as‐synthesized AgNPs, spherical in shape and with average size of 8.5 nm, were evaluated for determination of tetracycline by following the changes on the localized surface plasmon resonance band at 450 nm induced by the presence of this antibiotic at pH 5.8. The method was successfully applied in the concentration range between 200 and 800 μg L −1 with R 2  > 0.996 and limit of detection of 52.7 μg L −1 . Multiple honey samples were analyzed, and the recovery values obtained ranged between 82.8% and 116%, with relative standard deviation values lower than 6.69%. CONCLUSION The results obtained demonstrate that the AgNPs synthesized using just green tea extracts represent a promising and sustainable alternative tool for the cost‐effective determination of tetracycline antibiotics in honey. © 2021 Society of Chemical Industry

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