期刊
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
卷 117, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2022.105088
关键词
Bisphenols; Polytyramine; Graphene oxide nanosheets; Copper nanoparticles; Solid-phase microextraction; Canned foods
This research introduces a nanocomposite coating made of PTy and GO@CuNPs, which is applied to the surface of a steel wire through electropolymerization. The coating is evaluated as a polar coating for solid-phase microextraction of bisphenol A and its analogs in canned drinks and foods, canned pet foods, and empty cans prior to gas chromatography-mass spectrometry. By optimizing the electrochemical parameters and microextraction implementation, the nanocomposite coating achieves a limit of detection ranging from 4.0 to 8.0 ng L-1 and relative standard deviations below 7.4% and 11.2% for single fiber and three fibers, respectively. The method also demonstrates high recoveries (>93%) for real samples.
This research describes a nanocomposite coating consisting of polytyramine (PTy) and graphene oxide nanosheets@copper nanoparticles (GO@CuNPs) which is synthesized through one-step electropolymerization mode on the surface of a steel wire. The performance of the PTy/GO@CuNPs nanocomposite was evaluated as a new polar coating for solid-phase microextraction of bisphenol A and its analogs in canned drinks and foods, canned pet foods and empty cans preceding to gas chromatography-mass spectrometry. In order to attain efficient nanocomposite coating, the operative parameters related to the electrochemical approach and the micro extraction implementation were considered exhaustively and optimized. Under the optimized experimental mood, the calibration curves of the target analytes were plotted with limits of detection ranges from 4.0 to 8.0 ng L-1. The relative standard deviations using a single fiber and three fibers were below 7.4% and 11.2%, respectively. Besides, the recoveries of this method for real samples were higher than 93%.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据