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具有三维结构的壳聚糖还原氧化石墨烯复合材料作为农药分析的有效反相分散固相萃取吸附剂

Chitosan-reduced graphene oxide composites with 3D structures as effective reverse dispersed solid phase extraction adsorbents for pesticides analysis.

作者信息

Zhang Minglu, Ma Guicen, Zhang Lin, Chen Hongping, Zhu Li, Wang Chen, Liu Xin

机构信息

Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China.

出版信息

Analyst. 2019 Sep 7;144(17):5164-5171. doi: 10.1039/c9an00927b. Epub 2019 Jul 25.

Abstract

Chitosan-reduced graphene oxide composites with 3D structures (3D CS-rGO) were prepared via a facile solvothermal synthetic strategy. The reduction of GO and crosslinking of rGO nanosheets with CS into 3D structures were achieved simultaneously in one step. The resulting 3D CS-rGO composite achieves high adsorption capacities of catechins, caffeine and pigments from tea acetonitrile extraction, especially for catechins, which is 10 times higher than that of GO (179.3 mg gvs. 18.7 mg g). The 3D CS-rGO composite exhibits the best removal efficiency of matrix interference in comparison to other traditional adsorbents, which could diminish the matrix effect on targeted pesticides by 1%-55%. A determination method of 70 kinds of pesticides is successfully established for tea based on 3D CS-rGO composite as an efficient reverse dispersed solid phase extraction adsorbent. The established method has the great advantages of operation simplicity, being time saving and high purification performance using only one kind and a low amount of adsorbent. 3D graphene based materials are expected to be promising adsorbents for sample pretreatment in trace contaminant analysis of complex food samples.

摘要

通过一种简便的溶剂热合成策略制备了具有三维结构的壳聚糖还原氧化石墨烯复合材料(3D CS-rGO)。一步实现了氧化石墨烯的还原以及还原氧化石墨烯纳米片与壳聚糖交联形成三维结构。所得的3D CS-rGO复合材料对茶叶乙腈提取物中的儿茶素、咖啡因和色素具有高吸附容量,尤其是儿茶素,其吸附量比氧化石墨烯高10倍(179.3 mg/g对18.7 mg/g)。与其他传统吸附剂相比,3D CS-rGO复合材料对基质干扰的去除效率最佳,可将基质对目标农药的影响降低1%-55%。基于3D CS-rGO复合材料作为高效反相分散固相萃取吸附剂,成功建立了茶叶中70种农药的测定方法。所建立的方法具有操作简单、省时、仅使用一种且用量少的吸附剂即可实现高净化性能等巨大优势。基于三维石墨烯的材料有望成为复杂食品样品痕量污染物分析中用于样品预处理的有前景的吸附剂。

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