数字农科院2.0

Selective Extraction Of Fungicide Carbendazim In Fruits Using Beta-Cyclodextrin Based Molecularly Imprinted Polymers

文献类型： 外文期刊

作者： Farooq, S; Nie, JY; Cheng, Y; Bacha, SAS; Chang, WX

作者机构：

关键词： Carbendazim; Cyclodextrins; Fruit Samples; Molecularly Imprinted Polymers; Selective Extraction

期刊名称： JOURNAL OF SEPARATION SCIENCE

ISSN： 1615-9306

年卷期： 2020 年 43 卷 6 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： Considering the importance of developing a new analytical approach for pesticide residue detection for the sake of ensuring food safety, a beta-cyclodextrin based molecularly imprinted polymer was prepared for selective determination of carbendazim. The polymers consist of a porous and hollow structure demonstrating the selective abundant adsorption sites for carbendazim molecule. The selectivity and adsorption capacity of the imprinted polymers were analyzed with dispersive solid-phase extraction and analyzed with high performance liquid chromatography coupled with ultraviolet. The results of imprinted polymers were higher than non-imprinted polymers with the maximum adsorption capacity of 3.65 mg/g within 30 min of total adsorption time. The reusability of the imprinted polymers was determined to evaluate its effectiveness and stability, which proved that the polymers lost 10% efficiency within seven consecutive recycles. The developed method displayed good linearity over the concentration range of 0.05-2.0 mg/L. The recovery percentage of 81.33-97.23 with relative standard deviations of 1.49-4.66% was obtained from spiked apple, banana, orange, and peach samples with a limit of detection of 0.03 mg/L and a limit of quantification of 0.10 mg/L (signal to noise ratio = 3/10). The overall performance of the proposed method evident that this technique provided a desirable outcome and it can be used as a convenient approach, as it qualifies the analytical standards.

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