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制备聚多巴胺包覆的、氧化石墨烯/Fe<sub>3</sub>O<sub>4</sub>-印迹纳米粒子用于选择性去除谷物中的磺酰脲类除草剂。

Preparation of polydopamine-coated, graphene oxide/Fe O - imprinted nanoparticles for selective removal of sulfonylurea herbicides in cereals.

机构信息

School of Food Science and Engineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China.

出版信息

J Sci Food Agric. 2020 Aug;100(10):3822-3831. doi: 10.1002/jsfa.10419. Epub 2020 Apr 30.

DOI:10.1002/jsfa.10419
PMID:32277468
Abstract

BACKGROUND

Sulfonylureas are potentially toxic broad-spectrum herbicides. They pose a persistent threat to food safety and the environment. It is therefore important to develop a rapid and efficient pretreatment and detection method to prevent their harmful effects on human health.

RESULTS

In the present work, a novel and highly selective absorbent for chlorosulfuron (CS) detection was prepared by the simple self-polymerization of dopamine on the surface of magnetic graphene oxide using a CS template. The resultant imprinted nanoparticles (MGO@PDA-MIPs) were characterized by transmission electron microscopy, X-ray diffraction, vibrating-sample magnetometry, thermogravimetric analysis, and nitrogen adsorption-desorption. The adsorption experiments demonstrated that the MGO@PDA-MIPs have excellent selectivity with regard to CS, with a high imprinting factor of 3.41 compared with a non-imprinted polymer. The nanoparticles rapidly achieve adsorption equilibrium and efficient desorption because there are numerous binding sites on the thin polydopamine imprinting layer. Under optimized conditions, the MGO@PDA-MIPs can be used to detect sulfonylurea residues in cereal samples by magnetic solid phase extraction coupled with high performance liquid chromatography (HPLC). The nanoparticles have a satisfactory recovery rate (80.65-101.01%) with a relative standard deviation (RSD) of less than 7.15%, and a limit of detection with regard to CS of 1.61 μg kg (S/N = 3). They can also be re-used at least seven times.

CONCLUSION

The MGO@PDA-MIPs have outstanding recognition performance, and can be prepared by a facile, single-step, and environmentally friendly process. They therefore have excellent potential for the recognition and separation of trace sulfonylurea herbicides in complex matrices. © 2020 Society of Chemical Industry.

摘要

背景

磺酰脲类是具有潜在毒性的广谱除草剂。它们对食品安全和环境构成持续威胁。因此,开发一种快速高效的预处理和检测方法来防止其对人体健康造成的有害影响非常重要。

结果

本工作采用多巴胺在 CS 模板存在下于磁性氧化石墨烯表面简单自聚合,制备了一种新型、高选择性的氯磺隆(CS)检测吸附剂。所得印迹纳米粒子(MGO@PDA-MIPs)通过透射电子显微镜、X 射线衍射、振动样品磁强计、热重分析和氮吸附-脱附进行了表征。吸附实验表明,MGO@PDA-MIPs 对 CS 具有优异的选择性,与非印迹聚合物相比,印迹因子高达 3.41。由于薄的聚多巴胺印迹层上有许多结合位点,纳米粒子能够快速达到吸附平衡并实现有效的解吸。在优化条件下,MGO@PDA-MIPs 可用于通过高效液相色谱(HPLC)结合磁性固相萃取检测谷物样品中的磺酰脲残留。纳米粒子的回收率令人满意(80.65-101.01%),相对标准偏差(RSD)小于 7.15%,CS 的检测限为 1.61μg kg(S/N=3)。它们还可以至少重复使用七次。

结论

MGO@PDA-MIPs 具有出色的识别性能,可通过简便、单步、环保的工艺制备。因此,它们在复杂基质中痕量磺酰脲除草剂的识别和分离方面具有巨大的潜力。© 2020 英国化学学会。

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