4.7 Article

Improving the sensitivity and selectivity of sulfonamides electrochemical detection with double-system imprinted polymers

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 864, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.161173

关键词

Sulfonamides; Double-system imprinted composites; Electrochemical detection; Simultaneous analysis; Principal component analysis

向作者/读者索取更多资源

This study developed a sensor based on double-system imprinted polymers (DIPs) for the detection of sulfonamide antibiotic residues in environmental samples. The sensor exhibited high selectivity and sensitivity, and was able to determine the target substances in the presence of structural analogues. This work provides a strategy to improve the selectivity and sensitivity of MIPs-based sensors.
The extensive use of antibiotics leading to the rapid spread of antibiotic resistance poses high health risks to humans, but to date there is still lack of an on-site detection method of SA residues. In this study, we integrated radical polymer-ization using sodium p-styrenesulfonate as a functional monomer and the self-polymerization of dopamine to prepare double-system imprinted polymers (DIPs) using sulfonamide antibiotics as templates. We found that the DIPs were semi-interpenetrating polymer networks and introduction of poly(dopamine) improved the selectivity of the imprinted cavities as well as the conductivity. The selectivity and sensitivity of the sensor using DIPs were much higher than those using single-system MIPs. This sensor could determine sulfonamides in complex samples in the presence of struc-tural analogues. The linear range was from 0.01 to 10.00 mu mol L-1 with a detection limit of 4.00 nmol L-1. Further-more, based on the highly selective DIPs and statistics analysis, this method could be used for simultaneous analysis of 4 sulfonamide types in real samples with an accuracy of 94.87%. This work provides a strategy to improve the selec-tivity and sensitivity of MIPs based-sensor that can serve as tool for the simultaneous analysis of antibiotic residues in environment samples.

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。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据