Literature DB >> 33608881

Green-tea-synthesized silver nanoparticles as a sensing platform for determination of tetracycline in honey samples.

Denise B Pistonesi1, María E Centurión1, Valeria Springer1.   

Abstract

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 R2  > 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. © 2021 Society of Chemical Industry.

Entities:  

Keywords:  green nanotechnology; honey; silver nanoparticles; tetracyclines

Year:  2021        PMID: 33608881     DOI: 10.1002/jsfa.11164

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  1 in total

1.  Novel fluorescence sensor for the selective recognition of tetracycline based on molecularly imprinted polymer-capped N-doped carbon dots.

Authors:  Qihui Wang; Yiwen Wu; Xumei Bao; Min Yang; Jun Liu; Kang Sun; Zhonghui Li; Guowei Deng
Journal:  RSC Adv       Date:  2022-08-31       Impact factor: 4.036

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.